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Jun 02, 2026

Santa Monica, CA

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Data Warehousing

|

Contract

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$34 - $42 (hourly estimate)

{"JobID":536855,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-118.47,"Longitude":34.02,"Distance":null},"State":"California","Zip":"90404","ReferenceID":"LAX-51c9d2e0-de0f-49fb-aca8-024794e62c0c","PostedDate":"\/Date(1780428988000)\/","Description":"About the RoleGoodRx is looking for a Data Scientist to join our data team. Our ideal candidate is a teamplayer, a curious, relentless learner who\u0027s ready to take on new challenges and deliver value ina dynamic environment. This individual will have a love of working with data and makingdiscoveries, a deep understanding of mathematics and statistical modeling, and strongcommunication skills. This role will bring rigor to advanced projects across pricing andidentity/attribution data initiatives. Responsibilities? Build predictive models using statistical and machine learning techniques used forclassification, regression, and disambiguation. Assess model performance andcommunicate with stakeholders.? Derive insights from data to improve our understanding of user identity and their journeyfrom online to retail.? Mine and analyze prescription drug pricing and volume to drive optimization andimprovement of product development; refine attribution and identity through NLPcleaning and typo correction techniques? Support our marketing DS team with audience selection and generation? Partner with the rest of the data team to improve data consistency, cleanliness, andease of use.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"INTL - LATAM - Data Scientist","City":"Santa Monica","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 3+ years of work experience in data science/machine learning;? Experience delivering impact through statistical analysis and predictive modeling;domain knowledge in areas of pricing, identity, and attribution preferred.? Strong knowledge with databases such as RedShift, PostgreSQL, and Spark/EMR;familiarity with Python computing stack? Comfortable with ambiguity, adaptable to a high-change environment, and open to newconcepts and processes","Skills":"? Any prior exposure to the prescription/healthcare industry is a plus.? Undergraduate degree in a quantitative field (e.g. hard sciences, engineering, operations research, etc); advanced degree is a plus.? Experience delivering impact through statistical analysis and predictive modeling;domain knowledge in areas of pricing, identity, and attribution preferred.","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":42.0000,"SalaryLow":33.6000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

About the RoleGoodRx is looking for a Data Scientist to join our data team. Our ideal candidate is a teamplayer, a curious, relentless learner who's ready to take on new challenges and deliver value... ina dynamic environment. This individual will have a love of working with data and makingdiscoveries, a deep understanding of mathematics and statistical modeling, and strongcommunication skills. This role will bring rigor to advanced projects across pricing andidentity/attribution data initiatives. Responsibilities? Build predictive models using statistical and machine learning techniques used forclassification, regression, and disambiguation. Assess model performance andcommunicate with stakeholders.? Derive insights from data to improve our understanding of user identity and their journeyfrom online to retail.? Mine and analyze prescription drug pricing and volume to drive optimization andimprovement of product development; refine attribution and identity through NLPcleaning and typo correction techniques? Support our marketing DS team with audience selection and generation? Partner with the rest of the data team to improve data consistency, cleanliness, andease of use.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 30, 2026

Newark, NJ

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Computer Engineering

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Contract-to-perm

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$43 - $54 (hourly estimate)

{"JobID":512569,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-74.1735,"Longitude":40.7334,"Distance":null},"State":"New Jersey","Zip":"07102","ReferenceID":"NNJ-8144ac6c-4dfe-4eaa-8990-819f3a1da84c","PostedDate":"\/Date(1774886331000)\/","Description":"We are seeking an experienced Data Scientist to join our clients Life Insurance Underwriting team. This role will support large-scale underwriting initiatives focused on mortality risk modeling and premium determination. The ideal candidate brings strong traditional data science experience, a solid foundation in statistical and machine learning techniques, and the ability to work independently in a production, business-facing environment. This is not a data engineering or GenAI-heavy role. The majority of the work will focus on classical machine learning and statistical modeling using structured health and insurance data. Key ResponsibilitiesDevelop, validate, and maintain machine learning and statistical models to support life insurance underwriting decisionsAnalyze and model health and demographic data to assess mortality risk and premium outcomesTranslate underwriting and business requirements into analytical solutionsPartner with underwriters, analysts, and stakeholders to interpret model outputs and findingsConduct exploratory data analysis, feature engineering, and model performance evaluationDocument methodologies, assumptions, and results in a clear and structured mannerContribute to model lifecycle activities including monitoring and refinementOperate independently while collaborating effectively within a broader analytics teamWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Scientist","City":"Newark","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Strong experience in traditional data science and machine learningProficiency in Python and SQLHands-on experience with:? Regression models? Random Forest? Gradient boosting methods (e.g., XGBoost)Experience working in a Git/GitHub-based development environmentFamiliarity with standard data science workflows and best practicesMasters or PhD in a Data Science related field","Skills":"Experience in insurance, life insurance underwriting, healthcare, or health data analyticsExposure to actuarial concepts or risk modelingLimited exposure to AI / GenAI tools (expected usage ~10?15%, not a core requirement)","Industry":"Computer Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":54.0000,"SalaryLow":43.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are seeking an experienced Data Scientist to join our clients Life Insurance Underwriting team. This role will support large-scale underwriting initiatives focused on mortality risk modeling and... premium determination. The ideal candidate brings strong traditional data science experience, a solid foundation in statistical and machine learning techniques, and the ability to work independently in a production, business-facing environment. This is not a data engineering or GenAI-heavy role. The majority of the work will focus on classical machine learning and statistical modeling using structured health and insurance data. Key ResponsibilitiesDevelop, validate, and maintain machine learning and statistical models to support life insurance underwriting decisionsAnalyze and model health and demographic data to assess mortality risk and premium outcomesTranslate underwriting and business requirements into analytical solutionsPartner with underwriters, analysts, and stakeholders to interpret model outputs and findingsConduct exploratory data analysis, feature engineering, and model performance evaluationDocument methodologies, assumptions, and results in a clear and structured mannerContribute to model lifecycle activities including monitoring and refinementOperate independently while collaborating effectively within a broader analytics teamWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 01, 2026

Oakland, CA

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Project Manager

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Contract

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$68 - $85 (hourly estimate)

{"JobID":514057,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-122.27,"Longitude":37.8,"Distance":null},"State":"California","Zip":"94612","ReferenceID":"SFR-f0bd6167-81b0-4ad6-ac14-2d39eac1e7f1","PostedDate":"\/Date(1775079779000)\/","Description":"We are building out our team to support the increasing regulatory filings and data requests related to analytical and modeling methodologies. This role sits at the intersection of data science, data engineering, and regulatory compliance, supporting both advanced analytics work and responses to regulatory inquiries.The Data Scientist will contribute hands-on data science and analytics while also helping articulate and justify how data science methodologies comply with regulatory guidelines?particularly as regulatory bodies move from issuing high-level guidance to asking detailed questions about modeling approaches and techniques.________________________________________Key Responsibilities?Perform hands-on data science and advanced analytics, with a strong emphasis on PySpark and Python?Support regulatory filings and compliance-related data requests, particularly around analytical models and methodologies?Respond to regulator inquiries by explaining, documenting, and justifying data science techniques used to meet regulatory guidelines?Partner with stakeholders as regulatory guidelines are released and translated into compliant data science methodologies?Help demonstrate how analytical approaches align with established regulatory and compliance frameworks?Work across data engineering, data science, and business analysis functions to deliver clear, defensible insights?Collaborate with teams in the electric utility / electric operations space, especially where analytics support inspections, maintenance, or risk-related decisionsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Scientist","City":"Oakland","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Major Requirements (Must-Have)?Very strong PySpark experience (critical requirement)?Strong background in data science and data analytics?Advanced Python skills?Experience working with large-scale datasets and distributed data processing?Comfort performing both analytical work and regulatory/compliance-related tasks?Ability to clearly explain data science methodologies to non-technical and regulatory audiences________________________________________Preferred Qualifications?Experience in the electric utility / electric operations domain?Experience supporting regulatory compliance, risk management, or regulatory-facing analytics?Background working in roles that span: oData engineeringoData scienceoBusiness analysis?Experience responding to or supporting regulatory data requests tied to analytical models?Ability to operate in environments where methodologies must be clearly justified and defensible________________________________________Key Skills Summary?Data Science?Data Analytics?Python?PySpark?Regulatory / Compliance Analytics?Utility \u0026 Electric Operations (preferred)","Skills":"","Industry":"Project Manager","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":85.0000,"SalaryLow":68.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are building out our team to support the increasing regulatory filings and data requests related to analytical and modeling methodologies. This role sits at the intersection of data science, data... engineering, and regulatory compliance, supporting both advanced analytics work and responses to regulatory inquiries.The Data Scientist will contribute hands-on data science and analytics while also helping articulate and justify how data science methodologies comply with regulatory guidelines?particularly as regulatory bodies move from issuing high-level guidance to asking detailed questions about modeling approaches and techniques.________________________________________Key Responsibilities?Perform hands-on data science and advanced analytics, with a strong emphasis on PySpark and Python?Support regulatory filings and compliance-related data requests, particularly around analytical models and methodologies?Respond to regulator inquiries by explaining, documenting, and justifying data science techniques used to meet regulatory guidelines?Partner with stakeholders as regulatory guidelines are released and translated into compliant data science methodologies?Help demonstrate how analytical approaches align with established regulatory and compliance frameworks?Work across data engineering, data science, and business analysis functions to deliver clear, defensible insights?Collaborate with teams in the electric utility / electric operations space, especially where analytics support inspections, maintenance, or risk-related decisionsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jun 16, 2026

Oakland, CA

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Data Warehousing

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Contract

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$76 - $95 (hourly estimate)

{"JobID":542133,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-122.27,"Longitude":37.8,"Distance":null},"State":"California","Zip":"94612","ReferenceID":"SFR-e1a4f645-da19-41e3-896b-d5fe14a6573d","PostedDate":"\/Date(1781632585000)\/","Description":"We are seeking a Principal Data Scientist to support the transition of data science models and data pipelines from an external consulting partner to an in-house team.This role will focus on both enhancing existing models and improving the underlying code and data infrastructure to ensure long-term maintainability, scalability, and clarity.Key Responsibilities?Take ownership of fragility and hazard models currently developed by a consulting firm and lead their transition in-house?Support the development of machine learning models currently being developed in-house?Evaluate and improve model performance?Refactor and enhance data pipelines and model code to be modular, maintainable, and well-documented?Establish and promote best practices for code architecture, version control, and code management?Collaborate closely with a core team of data scientists and a broader team of cross-functional partners?Communicate technical data and models to non-technical stakeholders and regulators to build trust and understanding in the methodology.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Principal Data Scientist","City":"Oakland","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Strong experience in Python-based data science and model development?Demonstrated expertise in code architecture, software engineering practices, and maintainable pipeline design, in a cloud-based environment?Experience working with hazard, fragility, or risk models (e.g., infrastructure, environmental, or reliability contexts)?Proficiency with version control (Git) and collaborative workflows (e.g., pull requests, code reviews)?Ability to assess and improve legacy or externally developed codebases?Excellent communication skillsPreferred Qualifications?Experience with the Palantir Foundry platform?Familiarity with PySpark and distributed computing.?Experience working with spatial-temporal datasets and geospatial packages such as Sedona, Geopandas, and Rasterio.?Experience transitioning models from consulting or external vendors into production environmentsOne Day per month in Oakland Office","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":95.0000,"SalaryLow":76.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are seeking a Principal Data Scientist to support the transition of data science models and data pipelines from an external consulting partner to an in-house team.This role will focus on both... enhancing existing models and improving the underlying code and data infrastructure to ensure long-term maintainability, scalability, and clarity.Key Responsibilities?Take ownership of fragility and hazard models currently developed by a consulting firm and lead their transition in-house?Support the development of machine learning models currently being developed in-house?Evaluate and improve model performance?Refactor and enhance data pipelines and model code to be modular, maintainable, and well-documented?Establish and promote best practices for code architecture, version control, and code management?Collaborate closely with a core team of data scientists and a broader team of cross-functional partners?Communicate technical data and models to non-technical stakeholders and regulators to build trust and understanding in the methodology.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 27, 2026

New York, NY

|

Data Warehousing

|

Contract

|

$54 - $68 (hourly estimate)

{"JobID":523815,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-73.99,"Longitude":40.71,"Distance":null},"State":"New York","Zip":"10016","ReferenceID":"LAX-f28c8c65-5972-443a-95a4-9e2252ff0d60","PostedDate":"\/Date(1777326788000)\/","Description":"We are seeking a Senior Data Scientist to lead Marketing Mix Modeling (MMM) and conversion/attribution analytics end-to-end. You will build the models, ship the pipelines working with Data Engineers, and work directly with Sales, Strategy \u0026 Insights, and Planning teams to turn measurement into revenue. This is not a research engagement ? we need someone who has shipped MMM and statistical models to production systems, influenced real ad spend decisions, and who can hold their own in a room with both Data Scientists and Ad Sales leaders.What You Will DoMMM \u0026 Media Planning (~60%)?Own the MMM practice end-to-end: data pre-processing, transformation, ingestion, model development, validation, calibration, and productionalize?Collaborate with Data Engineers to build and maintain MMM pipelines on GCP that ingest spend, exposure, and outcome data across linear, ViX, audio, and digital?Translate model outputs into planning and optimization recommendations ? budget allocation, channel mix, flighting, saturation curves ? that Sales and Planning teams can actually use?Partner with Ad Sales tech team to integrate MMM functionality into a web app used by internal teams for audience insights, planning recommendations and campaign measurement?Calibrate MMM against incrementality tests and lift studies; reconcile MMM with MTA and platform-reported metricsConversion \u0026 Attribution Analytics (~30%)?Build and productionize multi-touch attribution (MTA) models that integrate with our identity graph and clean room infrastructure?Work with 1P, 2P and 3P conversion data (pixels, ACR, digital/streaming viewership, retail/sales, online search activity, etc.) to measure campaign outcomesExecution \u0026 Stakeholder Ownership (~10%)?Ship production code. You will own the models and collaborate with the Ad Sales tech team to develop pipelines and model-serving endpoints?Independently present and defend measurement work to leadership (VP and above) and to external stakeholders including agencies and advertisers ? translating model mechanics into business narratives without losing technical rigor?Work independently ? this engagement requires someone with high agency and ability to take a business initiative and turn it into a productionalize measurement product?Work in a tech team ? this engagement requires working with peers in the tech team, including Data Engineers, Data Scientists, Full-stack Developers, and Architects, to integrate models in end-user facing web applications.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Sr. Data Scientist","City":"New York","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?7+ years of applied data science experience, with at least 4 years focused on MMM and marketing/media measurement?Production ownership: you have built and shipped data pipelines and model-serving integrations ? not just notebooks handed off to engineering (be ready to talk through specific systems you have put into production and the business outcomes they drove)?Strong Python/R and SQL skills; experience using modern data stack (cloud data warehouses, orchestration frameworks, version control, CI/CD)?Demonstrated experience with incrementality testing, lift studies, and MTA, including the messy parts: test design, power analysis, reconciling conflicting signals across methodologies?Experience with at least one major MMM framework, such as Meridian, PyMC, Robyn, or LightweightMMM, and can speak to the tradeoffs in going with a bespoke model versus using such frameworks ?Proven ability to own stakeholder communication end-to-end: presenting to senior internal leadership (VP+), agencies, and clients without needing a layer of translation (you move swiftly between a Bayesian prior conversation and a channel-mix recommendation conversation without skipping a beat)?Able to work hybrid from our NYC office (4 days/week)","Skills":"Strongly Preferred:?Prior experience at a publisher, broadcaster, streaming platform, ad-tech company, or agency/measurement firm working on media-side measurement?Familiarity with ACR data, set-top box data, or digital/streaming viewership data?Experience working with 3P conversion/outcome data providers (NIQ, Polk, EDO, or similar)?Exposure to both pre-sales (research, planning, recommendation) and post-sales (outcomes, renewal) measurement workflows?GCP experience (BigQuery, Vertex AI, Composer)Nice-to-haves:?Causal inference depth: geo-based measurement (GeoLift, CausalImpact), synthetic controls, uplift modeling?Experience with clean room environments (Snowflake, AWS, Habu, InfoSum)?Familiarity with identity resolution and cross-platform measurement","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":68.0000,"SalaryLow":54.4000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are seeking a Senior Data Scientist to lead Marketing Mix Modeling (MMM) and conversion/attribution analytics end-to-end. You will build the models, ship the pipelines working with Data Engineers,... and work directly with Sales, Strategy & Insights, and Planning teams to turn measurement into revenue. This is not a research engagement ? we need someone who has shipped MMM and statistical models to production systems, influenced real ad spend decisions, and who can hold their own in a room with both Data Scientists and Ad Sales leaders.What You Will DoMMM & Media Planning (~60%)?Own the MMM practice end-to-end: data pre-processing, transformation, ingestion, model development, validation, calibration, and productionalize?Collaborate with Data Engineers to build and maintain MMM pipelines on GCP that ingest spend, exposure, and outcome data across linear, ViX, audio, and digital?Translate model outputs into planning and optimization recommendations ? budget allocation, channel mix, flighting, saturation curves ? that Sales and Planning teams can actually use?Partner with Ad Sales tech team to integrate MMM functionality into a web app used by internal teams for audience insights, planning recommendations and campaign measurement?Calibrate MMM against incrementality tests and lift studies; reconcile MMM with MTA and platform-reported metricsConversion & Attribution Analytics (~30%)?Build and productionize multi-touch attribution (MTA) models that integrate with our identity graph and clean room infrastructure?Work with 1P, 2P and 3P conversion data (pixels, ACR, digital/streaming viewership, retail/sales, online search activity, etc.) to measure campaign outcomesExecution & Stakeholder Ownership (~10%)?Ship production code. You will own the models and collaborate with the Ad Sales tech team to develop pipelines and model-serving endpoints?Independently present and defend measurement work to leadership (VP and above) and to external stakeholders including agencies and advertisers ? translating model mechanics into business narratives without losing technical rigor?Work independently ? this engagement requires someone with high agency and ability to take a business initiative and turn it into a productionalize measurement product?Work in a tech team ? this engagement requires working with peers in the tech team, including Data Engineers, Data Scientists, Full-stack Developers, and Architects, to integrate models in end-user facing web applications.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Nov 08, 2023

Charlotte, NC

|

Database Administrator (DBA)

|

Contract-to-perm

|

$44 - $55 (hourly estimate)

{"JobID":321929,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-80.818,"Longitude":35.2107272727273,"Distance":null},"State":"North Carolina","Zip":"28217","ReferenceID":"CLT-3f273351-b4fc-4a35-b5e0-175023e2e2d9","PostedDate":"\/Date(1699460191000)\/","Description":"Insight Global is seeking a Data Engineer for one of our large retail food service clients. This position will be within the BI \u0026 Analytics group supporting unattended retail solutions for clients and consumers across the US. This individual will be responsible for the following:- Develop the comprehensive knowledge required to support existing Production models and forecast solutions- Implement automated processes for efficiently generating and monitoring production forecasting models- Design and creates algorithms, machine-learning models, re-trains and tunes the model for efficiency and scalability in a cloud environment- Develop ad hoc and statistical analysis to determine trends and significant relationships- Develop and validates predictive and prescriptive models to identify opportunity for business improvement- Identifies unique opportunities and strategizes new uses for data; active engagement with the business customer to identify measurable criteria - Present and communicates complex analyses and content appropriate for the audience- Collaborate and develops a working relationship with IT, Data Engineers and Analytics teams to understand and share best practices and inter-dependencies between teams, data sources, technologies, and platforms - Accountable for ensuring high quality solutions are delivered within project timelinesWe are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC \"Know Your Rights\" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .","Title":"Data Scientist","City":"Charlotte","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- Graduate studies or BS Degree in Data Science, Computer Science, Mathematics, Statistics, or related field.- 2+ years of experience in large complex data analysis and predictive modeling in a corporate setting- Experience with designing and building processes with large, complex data sets from multiple data sources - 2+ years of advanced proficiency in writing complex MS SQL, including aggregate analysis over large complex datasets, multiple joins and query optimization- Proficient coding abilities in the major programming languages including R and Python- Experience with \"end to end\" Machine Learning model development- Skilled in best practices for data handling and imputation- Familiar with a variety of ML modeling techniques including limitations and appropriate application of models such as forecasting, logistic regression, random forest, and gradient boost.- Proficiency with MS Excel and pivot tables/charts.- Experience visualizing business insights with MS Power BI or other data visualization tools preferred. - Demonstrates excellent verbal and written communication skills as well as the ability to present complex topics effectively and in a simplified and appropriate manner - Inquisitive, energetic initiative-taker, able to work independently or collaboratively in a fast-paced team environment.","Skills":"- Experience with Snowflake and Snowpark preferred.- Experience working with Azure DevOps; Sprint Agile projects preferred.- Experience with analysis within the retail industry is a plus.","Industry":"Database Administrator (DBA)","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":54.9800,"SalaryLow":43.9840,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is seeking a Data Engineer for one of our large retail food service clients. This position will be within the BI & Analytics group supporting unattended retail solutions for clients... and consumers across the US. This individual will be responsible for the following:- Develop the comprehensive knowledge required to support existing Production models and forecast solutions- Implement automated processes for efficiently generating and monitoring production forecasting models- Design and creates algorithms, machine-learning models, re-trains and tunes the model for efficiency and scalability in a cloud environment- Develop ad hoc and statistical analysis to determine trends and significant relationships- Develop and validates predictive and prescriptive models to identify opportunity for business improvement- Identifies unique opportunities and strategizes new uses for data; active engagement with the business customer to identify measurable criteria - Present and communicates complex analyses and content appropriate for the audience- Collaborate and develops a working relationship with IT, Data Engineers and Analytics teams to understand and share best practices and inter-dependencies between teams, data sources, technologies, and platforms - Accountable for ensuring high quality solutions are delivered within project timelinesWe are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

May 04, 2026

Bedminster, NJ

|

Software Engineering

|

Contract

|

$54 - $67 (hourly estimate)

{"JobID":526090,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-74.6536,"Longitude":40.6552,"Distance":null},"State":"New Jersey","Zip":"07921","ReferenceID":"NNJ-7cd29871-f739-4aa1-96a6-eddea46136e8","PostedDate":"\/Date(1777911651000)\/","Description":"Insight Global is seeking a Data Scientist for one of our largest telecom customers to support a pricing modeling initiative, owning the end-to-end analytics workflow from problem framing through stakeholder-ready recommendations. In this role, you will work with large, messy, real-world datasets and independently transform them into reliable modeling inputs, keeping analysis anchored to core business questions?such as estimating how price changes impact volume demand while accounting for real-world constraints like product availability. You will build, calibrate, and validate advanced statistical and econometric models?including constrained hierarchical GLMs and Bayesian hierarchical models with weighted partial pooling, as well as constrained random coefficient approaches?to generate robust price and elasticity insights. The work is performed at scale in cloud environments (e.g., Databricks), with an emphasis on reproducibility, documentation, and collaboration through modern version control (e.g., GitHub) to accelerate iteration, onboarding, and decision-making.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Scientist","City":"Bedminster","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-Master?s degree or higher preferred in Statistics (or closely related quantitative field) with the proven ability to apply rigorous statistical thinking to ambiguous real-world problems.-Experience in pricing / elasticity modeling with hands-on experience building \u0026 validating price-volume / demand elasticity models. -Experience capturing, cleaning, joining and contextualizing data within large complex data sets. -Strong python development skills with hands-on experience using PySpark, Databricks \u0026 Snowflake-Experience with advanced statistical and econometric models including constrained hierarchical GLMs with weighted partial pooling, Bayesian hierarchical models with weighted partial pooling, and/or constrained random coefficient models","Skills":"-Experience with Github","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":67.0000,"SalaryLow":53.6000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is seeking a Data Scientist for one of our largest telecom customers to support a pricing modeling initiative, owning the end-to-end analytics workflow from problem framing through... stakeholder-ready recommendations. In this role, you will work with large, messy, real-world datasets and independently transform them into reliable modeling inputs, keeping analysis anchored to core business questions?such as estimating how price changes impact volume demand while accounting for real-world constraints like product availability. You will build, calibrate, and validate advanced statistical and econometric models?including constrained hierarchical GLMs and Bayesian hierarchical models with weighted partial pooling, as well as constrained random coefficient approaches?to generate robust price and elasticity insights. The work is performed at scale in cloud environments (e.g., Databricks), with an emphasis on reproducibility, documentation, and collaboration through modern version control (e.g., GitHub) to accelerate iteration, onboarding, and decision-making.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 02, 2026

Oakland, CA

|

Data Warehousing

|

Contract

|

$68 - $85 (hourly estimate)

{"JobID":514143,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-122.27,"Longitude":37.8,"Distance":null},"State":"California","Zip":"94612","ReferenceID":"SFR-cd6eb598-2b92-43aa-9464-f055d78e98a3","PostedDate":"\/Date(1775103194000)\/","Description":"We are seeking a Machine Learning Engineer?leaning Data Scientist to join the Wildfire Consequence Modeling team. This role is ideal for someone who can work effectively with academically oriented researchers while bringing a solution architecture and software engineering mindset to model design, implementation, and production grade systems.The team is composed primarily of individuals with academic backgrounds. This role will help balance the group by emphasizing practical problem solving, system design, and scalable machine learning solutions, while still engaging deeply in data science and model development.________________________________________Key Responsibilities?Design, develop, and deploy machine learning systems supporting wildfire consequence modeling?Collaborate closely with academic researchers and data scientists to translate research concepts into production ready models?Lead or contribute to solution architecture for data and ML workflows, balancing performance, scalability, and maintainability?Design and implement end to end ML pipelines, including data ingestion, feature engineering, model training, and inference?Apply strong software engineering principles to machine learning model development?Support and guide architectural decisions related to cloud infrastructure, tooling, and integrations?Work hands on with geospatial data and analytics relevant to wildfire modeling?Partner with the broader data science team to improve model robustness, scalability, and operational readinessWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Scientist/Machine Learning Engineer","City":"Oakland","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Required Qualifications?Professional experience developing and designing machine learning technologies and systems?Strong Python skills, with experience building production grade data and ML solutions?Experience with PySpark for large scale data processing?Experience working on a data science or machine learning team, collaborating with researchers or academics?Ability to both problem solve analytically and design scalable models and systems?Comfortable operating as a hybrid Machine Learning Engineer / Data Scientist________________________________________Technical \u0026 Platform Experience?Cloud \u0026 Data Platforms:oAWS ecosystem, including SageMaker, S3, Lambda, GlueoAnd/or experience with SnowflakeoAnd/or Palantir Foundry?Architecture \u0026 Systems:oSolution architecture for data and ML systemsoModel pipelines, APIs, and system integrations________________________________________Geospatial \u0026 Domain Expertise?Strong geospatial analytics experience using Python, including tools such as:orioxarrayoGDALorasterioogeopandasodask?SQL experience supporting geospatial or analytical workloads?Experience or strong interest in wildfire spread or consequence modeling________________________________________Nice to Have / Preferred?Experience in wildfire modeling, environmental modeling, or risk/consequence modeling?Background working in applied ML environments where research transitions into production?Experience mentoring or supporting academic researchers in applied engineering contexts________________________________________What Makes This Role Unique?Opportunity to balance an academically driven team with practical, solution oriented engineering?High impact work supporting wildfire risk and consequence analysis?Strong influence over system design and technical direction?Blend of data science depth and software engineering rigor","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":85.0000,"SalaryLow":68.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are seeking a Machine Learning Engineer?leaning Data Scientist to join the Wildfire Consequence Modeling team. This role is ideal for someone who can work effectively with academically oriented... researchers while bringing a solution architecture and software engineering mindset to model design, implementation, and production grade systems.The team is composed primarily of individuals with academic backgrounds. This role will help balance the group by emphasizing practical problem solving, system design, and scalable machine learning solutions, while still engaging deeply in data science and model development.________________________________________Key Responsibilities?Design, develop, and deploy machine learning systems supporting wildfire consequence modeling?Collaborate closely with academic researchers and data scientists to translate research concepts into production ready models?Lead or contribute to solution architecture for data and ML workflows, balancing performance, scalability, and maintainability?Design and implement end to end ML pipelines, including data ingestion, feature engineering, model training, and inference?Apply strong software engineering principles to machine learning model development?Support and guide architectural decisions related to cloud infrastructure, tooling, and integrations?Work hands on with geospatial data and analytics relevant to wildfire modeling?Partner with the broader data science team to improve model robustness, scalability, and operational readinessWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 11, 2026

Berkeley Heights, NJ

|

Database Administrator (DBA)

|

Contract

|

$38 - $48 (hourly estimate)

{"JobID":505518,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-74.4321,"Longitude":40.6766,"Distance":null},"State":"New Jersey","Zip":"07922","ReferenceID":"NNJ-2c930b72-809a-46d4-803c-13c7f89cd727","PostedDate":"\/Date(1773261536000)\/","Description":"In this role, you will manage and execute statistical modeling and optimization efforts supporting scientific data cleansing and testing initiatives. You will work closely with scientific stakeholders across North America and global partners, translating scientific questions into structured data science approaches. Your day-to-day work will involve acquiring and profiling data, performing exploratory data analysis, cleaning and correcting data quality issues, and applying appropriate modeling techniques?often with small, high-value datasets where rigor and creativity are essential. You will evaluate and leverage third-party platforms used for modeling and optimization, contribute to data quality and governance standards, and clearly communicate findings, assumptions, and limitations to both technical and non-technical stakeholders. The role requires strong independent execution, thoughtful problem framing, and disciplined, well-documented coding practices that enable others to understand and build upon your work.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Scientist","City":"Berkeley Heights","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Applied Statistical Modeling \u0026 Optimization Experience: Strong grounding in statistical theory and modeling techniques, with hands-on experience selecting, applying, and evaluating modeling approaches to drive decision-making and outcomes.Experience Working with Small, High-Value Datasets: Demonstrated experience working with limited datasets (e.g., 15?100 data points), including applying techniques to prevent overfitting and maximize learning when additional data collection is costly.Individual, End-to-End Project Ownership: Proven ability to independently own and execute data science work?from messy data ingestion and cleansing through modeling, validation, and delivery?without reliance on large project teams.Data Cleaning \u0026 Exploratory Data Analysis Expertise: Comfort working with unstructured, messy, or incomplete data, applying creativity and rigor in data cleansing, profiling, and exploratory analysis to uncover usable insights.Scripting in Python and/or R with Strong Coding Hygiene: Practical experience scripting in Python and/or R, with a methodical approach to testing, debugging, documentation, and code readability (clear structure, comments, and logical organization).","Skills":"Experience with Third-Party Modeling or Optimization Platforms: Exposure to externally executed platforms (e.g., optimization engines such as Bayesian or global optimization methods), with the ability to evaluate techniques rather than build everything from scratch.Comfort Translating Scientific Concepts into Data Science Requirements: Experience working with scientists or technical stakeholders, interpreting experimental or scientific concepts, and translating them into data models and analytical approaches.Background in Applied or Constrained-Data Environments: Experience from academia, government, applied engineering, or regulated industries where data access is limited and modeling rigor is essential.Data Governance \u0026 Quality Mindset: Familiarity with data quality management, data definitions, profiling, reference/master data concepts, and maintaining analytical integrity across datasets.Exposure to Version Control \u0026 Collaborative Ways of Working: Working knowledge of Git/version control and an interest in improving collaboration, code sharing, and standardized ways of working within a data science team.","Industry":"Database Administrator (DBA)","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":48.0000,"SalaryLow":38.4000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

In this role, you will manage and execute statistical modeling and optimization efforts supporting scientific data cleansing and testing initiatives. You will work closely with scientific... stakeholders across North America and global partners, translating scientific questions into structured data science approaches. Your day-to-day work will involve acquiring and profiling data, performing exploratory data analysis, cleaning and correcting data quality issues, and applying appropriate modeling techniques?often with small, high-value datasets where rigor and creativity are essential. You will evaluate and leverage third-party platforms used for modeling and optimization, contribute to data quality and governance standards, and clearly communicate findings, assumptions, and limitations to both technical and non-technical stakeholders. The role requires strong independent execution, thoughtful problem framing, and disciplined, well-documented coding practices that enable others to understand and build upon your work.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 23, 2026

Wellesley Hills, MA

|

Engineering (Non IT)

|

Contract-to-perm

|

$32 - $40 (hourly estimate)

{"JobID":522338,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-71.2651,"Longitude":42.3158,"Distance":null},"State":"Massachusetts","Zip":"02481","ReferenceID":"BOS-356b4e92-afa5-4414-814a-2cd9eb9f88dd","PostedDate":"\/Date(1776945256000)\/","Description":"We are seeking a highly skilled and collaborative Data Scientist to join our team and lead thedevelopment of series of customized GenAI solutions. This role will focus on building scalable,production-grade systems using Python and modern frameworks, with a strong emphasis ongenerative AI applications such as Retrieval-Augmented Generation (RAG) and intelligentagents. The ideal candidate will thrive in a dynamic, agile environment and be comfortableworking consultatively with stakeholders to clarify requirements and present results.Compensation: $40-50/hr Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401K retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Scientist","City":"Wellesley Hills","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Required Qualifications? 3+ year of coding experience (Preferably Python)? 3+ years of experience in backend systems (FastAPI experience is a plus)? Proven track record of building and deploying GenAI solutions (e.g., RAG pipelines,agent-based systems)? Hands-on experience with GenAI frameworks such as LangChain, LangGraph, or similar? Experience working in cloud environments such as GCP, Azure, or AWS? Strong team player with excellent collaboration skills in agile settings? Ability to work consultatively with junior stakeholders, clarify needs, and communicatetechnical concepts effectively","Skills":"Preferred Qualifications? Familiarity with healthcare (PBM / insurance) domains? Familiarity with B2B sales process? Experience integrating GenAI solutions into enterprise workflows? Exposure to MLOps practices and tools (Jenkins, Docker, etc.)EducationBachelor\u0027s degree or equivalent work experience in Mathematics, Statistics, Computer Science,Business Analytics, Economics, Physics, Engineering, or related discipline. Master\u0027s degreepreferred","Industry":"Engineering (Non IT)","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":40.0000,"SalaryLow":32.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are seeking a highly skilled and collaborative Data Scientist to join our team and lead thedevelopment of series of customized GenAI solutions. This role will focus on building... scalable,production-grade systems using Python and modern frameworks, with a strong emphasis ongenerative AI applications such as Retrieval-Augmented Generation (RAG) and intelligentagents. The ideal candidate will thrive in a dynamic, agile environment and be comfortableworking consultatively with stakeholders to clarify requirements and present results.Compensation: $40-50/hr Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401K retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

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