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Mar 25, 2026

Greenwood Village, CO

|

Data Warehousing

|

Contract-to-perm

|

$61 - $76 (hourly estimate)

{"JobID":511063,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-104.99,"Longitude":39.64,"Distance":null},"State":"Colorado","Zip":"80111","ReferenceID":"DEN-79ee5045-9b16-4a66-b33c-c68689265156","PostedDate":"\/Date(1774466743000)\/","Description":"A client of Insight Global is seeking a senior-level Data Scientist with deep expertise in Python-based analytics, machine learning, and large-scale data systems to design, develop, and productionize end-to-end machine learning solutions. This role is responsible for translating complex business problems into scalable analytics use cases; building, testing, and deploying advanced ML models; developing model scoring code; working with large batch and streaming datasets; partnering with data engineering, platform, and DevOps teams to integrate solutions via CI/CD pipelines; contributing to data architecture decisions involving data warehouses and marts; applying strong logical, mathematical, and analytical reasoning to model evaluation and data quality; synthesizing results into clear insights; communicating recommendations to technical and non-technical stakeholders; mentoring others; and continuously expanding technical skills in evolving analytics and ML technologies.This position will be a hybrid role- 3 days a week onsite in Greenwood Village CO and will pay between $50-65 per hour.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":"Senior Data Scientist","City":"Greenwood Village","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Expert-level Python for advanced analytics and ML (NumPy, Pandas, scikit-learn, etc.)Strong understanding of ML model families (regression, decision trees and ensemble methods, clustering, SVMs, neural networks)Strong foundation in probability, statistics, calculus, and ability to learn additional advanced math conceptsBig data experience (Spark, Hadoop, streaming platforms)Strong SQLExperience with ETL / data pipelinesCloud experience (AWS preferred; GCP/Azure acceptable)CI/CD pipeline experienceProven experience deploying and supporting models in productionBash / Shell scripting","Skills":"Scala (especially with Spark)Streaming data platformsEnterprise or regulated-environment experience","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":76.0000,"SalaryLow":60.8000,"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)\/"}

A client of Insight Global is seeking a senior-level Data Scientist with deep expertise in Python-based analytics, machine learning, and large-scale data systems to design, develop, and productionize... end-to-end machine learning solutions. This role is responsible for translating complex business problems into scalable analytics use cases; building, testing, and deploying advanced ML models; developing model scoring code; working with large batch and streaming datasets; partnering with data engineering, platform, and DevOps teams to integrate solutions via CI/CD pipelines; contributing to data architecture decisions involving data warehouses and marts; applying strong logical, mathematical, and analytical reasoning to model evaluation and data quality; synthesizing results into clear insights; communicating recommendations to technical and non-technical stakeholders; mentoring others; and continuously expanding technical skills in evolving analytics and ML technologies.This position will be a hybrid role- 3 days a week onsite in Greenwood Village CO and will pay between $50-65 per hour.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 21, 2026

Melvindale, MI

|

Accounting

|

Contract

|

$32 - $40 (hourly estimate)

{"JobID":521206,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-83.17,"Longitude":42.28,"Distance":null},"State":"Michigan","Zip":"48122","ReferenceID":"MIC-865264d1-20d2-41a0-a592-0e7c18859283","PostedDate":"\/Date(1776781413000)\/","Description":"This Data Scientist supports DTE?s Gas Leak Management team by pulling data from Picarro and other enterprise systems, analyzing leak and spend data, and building Power BI dashboards that drive operational efficiency, regulatory reporting, and capital planning decisions.Compensation $40/hrExact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st 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.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":"Melvindale","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Bachelor?s degree in a quantitative field (Statistics, Computer Science, Engineering, Mathematics, Data Science) OR 3+ years of experience in a data analytics, data science, or programming role?Strong experience performing advanced data analysis, including cost benefit analysis, forecasting, predictive modeling, what if analysis, and impact analysis?Strong understanding of Power BI data models, data extraction, and dashboard intelligence?Eager to learn and grow in a data driven environment!!?Strong communication skills with the ability to clearly and concisely relay findings to field supervisors and business partners?THIS TEAM IS LOOKING FOR A CULTURE FIT","Skills":"?Experience collaborating with cross functional stakeholders to gather requirements and deliver end to end analytical solutions?Strong communication skills with the ability to present analytical insights clearly to both technical and non technical audiences?Strong understanding of Power BI data models, data extraction, and dashboard intelligence","Industry":"Accounting","Country":"US","Division":"AF\u0026E","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)\/"}

This Data Scientist supports DTE?s Gas Leak Management team by pulling data from Picarro and other enterprise systems, analyzing leak and spend data, and building Power BI dashboards that drive... operational efficiency, regulatory reporting, and capital planning decisions.Compensation $40/hrExact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st 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.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 01, 2026

Oakland, CA

|

Project Manager

|

Contract

|

$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/.

Mar 27, 2026

Atlanta, GA

|

Architect

|

Contract

|

$68 - $85 (hourly estimate)

{"JobID":511869,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-84.37,"Longitude":33.77,"Distance":null},"State":"Georgia","Zip":"30308","ReferenceID":"BIR-09ec175d-ec1a-4a68-982f-0a0730f79070","PostedDate":"\/Date(1774576875000)\/","Description":"Synthesize.ai ? Technical Requirements Document (External Vendor Version)1. Project OverviewSynthesize.ai is Southern Company?s advanced analytics and machine-learning platform designed to improve the quality, continuity, and analytical usefulness of AMI interval data across APC, GPC, and MPC. The platform will use AI/ML to perform data gap-fill, usage reconstruction, and short-term/long-term forecasting, and enable downstream analytics.The primary objective for this vendor engagement is to deliver a production-grade, scalable, accurate ML-based gap-fill and forecasting engine that can be integrated into Southern Company\u0027s data ecosystem.2. Scope of Work2.1 Core Functional RequirementsA. Data Gap-Fill EngineDevelop or extend models that can:? Fill missing AMI interval data at 15-minute and hourly resolutions? Handle short gaps (\u003c2 hours) and long gaps (1?72 hours) with model-based reconstruction. ? Produce reconstruction confidence scores for each interval.? Incorporate:o Weather (temperature, humidity, solar irradiance)o Calendar effects (weekday/weekend, season)o Outage periods (explicitly excluding outage windows from prediction) B. Predictive Usage Modeling? Short-term usage prediction (next 24?48 hours)? Longer-horizon predictions (up to 7?14 days)? Ability to run inference on millions of meter records across all OpCos C. MLOps and Deployment? Run natively on Databricks within Southern Company?s secure cloud (no external hosting). ? Provide automated pipelines for:o Trainingo Batch inferenceo Monitoring and accuracy drift detection? Deliver source code, notebooks, CI/CD scripts, and documentation.3. Data Inputs \u0026 Volumes3.1 Data Sources? AMI interval data ? Weather feeds ? Outage metadata? Billing calendar markers (not used for billing VEE; for analytics only) 3.2 Data Characteristics? 96 intervals/day per meter (15-min)? Multi-year historical availability (1?3 years)? High presence of gaps, including consecutive missing intervals4. Performance Requirements4.1 Model(s) AccuracyMeasurable model KPIs for:? MAE / RMSE for filled intervals? Gap-fill bias (interval-level and daily aggregated)? Performance across:o 15-minute kWho Hourly kWho Golden meters (consecutive gap conditions)o Non-gold meters (random missing intervals) 4.2 ScalabilityModel(s) must:? Process 4.4M meters (15-min resolution) in batch production cycles ? Support parallelization / Spark-based architecture4.3 Operational Expectations? Runtime targets defined for daily and weekly pipelines? Monitoring hooks for:o Model drifto Data Anomalieso Input/outage alignment issues5. Deliverables1. ML Models \u0026 Codebaseo Gap-fill models (primary deliverable)o Forecasting modelso Modular architecture for future extensions2. Documentationo Model(s) documentationo Data dictionarieso Deployment runbooks3. MLOps Pipelineso Orchestrated Databricks jobso Git-based CI/CD workflows4. Dashboards / Visual QA Toolso before/after gap-fill visualizationso overlay and comparison tools5. Training \u0026 Knowledge Transfero Sessions for AMI Data Science teamo Code walkthroughso Handover documentation6. Non-Functional Requirements6.1 Security? All work must remain within Southern Company?s cloud environment ? No external data movement permitted6.2 Governance? Conform to Southern Company metadata, tagging, and logging standards? Models must not be used for billing (analytics-only) 6.3 Vendor Collaboration Expectations? Weekly progress meetings with Solomon, Joyce S. and project team ? Transparent issue escalation? Ability to collaborate using Jira (AMI team instance)? PM is already instated? 1 Data Scientist from AMI DSA will work in this project7. Evaluation Criteria for Vendors? Technical strength and ML methodology? Scalability and cloud architecture alignment? Experience with utility AMI datasets? Clarity of proposed MLOps approach? Documentation quality? Speed to delivery? Total cost and licensing structureWe 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":"Atlanta","ExpirationDate":null,"PriorityOrder":0,"Requirements":"3-5 years of experience as a data scientist (or similar title)3+ years of experience using AI/ML Strong Python programming experienceUnderstanding/Experience within AMI data Background within a utility Experience with LLM (large language model)Ability to deliver source code, notebooks, CI/CD scripts, and documentation","Skills":"Databricks","Industry":"Architect","Country":"US","Division":"AF\u0026E","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)\/"}

Synthesize.ai ? Technical Requirements Document (External Vendor Version)1. Project OverviewSynthesize.ai is Southern Company?s advanced analytics and machine-learning platform designed to improve... the quality, continuity, and analytical usefulness of AMI interval data across APC, GPC, and MPC. The platform will use AI/ML to perform data gap-fill, usage reconstruction, and short-term/long-term forecasting, and enable downstream analytics.The primary objective for this vendor engagement is to deliver a production-grade, scalable, accurate ML-based gap-fill and forecasting engine that can be integrated into Southern Company's data ecosystem.2. Scope of Work2.1 Core Functional RequirementsA. Data Gap-Fill EngineDevelop or extend models that can:? Fill missing AMI interval data at 15-minute and hourly resolutions? Handle short gaps (<2 hours) and long gaps (1?72 hours) with model-based reconstruction. ? Produce reconstruction confidence scores for each interval.? Incorporate:o Weather (temperature, humidity, solar irradiance)o Calendar effects (weekday/weekend, season)o Outage periods (explicitly excluding outage windows from prediction) B. Predictive Usage Modeling? Short-term usage prediction (next 24?48 hours)? Longer-horizon predictions (up to 7?14 days)? Ability to run inference on millions of meter records across all OpCos C. MLOps and Deployment? Run natively on Databricks within Southern Company?s secure cloud (no external hosting). ? Provide automated pipelines for:o Trainingo Batch inferenceo Monitoring and accuracy drift detection? Deliver source code, notebooks, CI/CD scripts, and documentation.3. Data Inputs & Volumes3.1 Data Sources? AMI interval data ? Weather feeds ? Outage metadata? Billing calendar markers (not used for billing VEE; for analytics only) 3.2 Data Characteristics? 96 intervals/day per meter (15-min)? Multi-year historical availability (1?3 years)? High presence of gaps, including consecutive missing intervals4. Performance Requirements4.1 Model(s) AccuracyMeasurable model KPIs for:? MAE / RMSE for filled intervals? Gap-fill bias (interval-level and daily aggregated)? Performance across:o 15-minute kWho Hourly kWho Golden meters (consecutive gap conditions)o Non-gold meters (random missing intervals) 4.2 ScalabilityModel(s) must:? Process 4.4M meters (15-min resolution) in batch production cycles ? Support parallelization / Spark-based architecture4.3 Operational Expectations? Runtime targets defined for daily and weekly pipelines? Monitoring hooks for:o Model drifto Data Anomalieso Input/outage alignment issues5. Deliverables1. ML Models & Codebaseo Gap-fill models (primary deliverable)o Forecasting modelso Modular architecture for future extensions2. Documentationo Model(s) documentationo Data dictionarieso Deployment runbooks3. MLOps Pipelineso Orchestrated Databricks jobso Git-based CI/CD workflows4. Dashboards / Visual QA Toolso before/after gap-fill visualizationso overlay and comparison tools5. Training & Knowledge Transfero Sessions for AMI Data Science teamo Code walkthroughso Handover documentation6. Non-Functional Requirements6.1 Security? All work must remain within Southern Company?s cloud environment ? No external data movement permitted6.2 Governance? Conform to Southern Company metadata, tagging, and logging standards? Models must not be used for billing (analytics-only) 6.3 Vendor Collaboration Expectations? Weekly progress meetings with Solomon, Joyce S. and project team ? Transparent issue escalation? Ability to collaborate using Jira (AMI team instance)? PM is already instated? 1 Data Scientist from AMI DSA will work in this project7. Evaluation Criteria for Vendors? Technical strength and ML methodology? Scalability and cloud architecture alignment? Experience with utility AMI datasets? Clarity of proposed MLOps approach? Documentation quality? Speed to delivery? Total cost and licensing structureWe 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 10, 2026

Columbus, OH

|

Data Warehousing

|

Contract-to-perm

|

$46 - $57 (hourly estimate)

{"JobID":517636,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-82.98,"Longitude":39.98,"Distance":null},"State":"Ohio","Zip":"43219","ReferenceID":"COL-dfdd1462-8a6c-470c-83c0-290851dd790c","PostedDate":"\/Date(1775847965000)\/","Description":"A client of Insight Global is looking for a Senior Data Scientist to join their team. This individual will participate in all phases of the data and analytics lifecycle, including specifying data capture requirements, analyzing patterns and trends in structured and unstructured data to provide insights on projects that span all facets of the Enterprise. Take these finding and synthesize them into dashboards or presentations that convey insights and recommendations through storytelling, while maintaining a balance between the big picture and mastery of details.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":"Columbus","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop? In lieu of a Master\u0027s degree, a Bachelor\u0027s degree with a minimum of 5 years work experience in analytics or data science? Master\u0027s degree in Decision Sciences, Statistics, Applied Mathematics, Engineering, Computer Science or Information Systems, Operations Research, or a STEM degree AND a minimum of 3 years of work experience in analytics or data science. If candidate has a PhD, no work experience is required.","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":57.0000,"SalaryLow":45.6000,"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)\/"}

A client of Insight Global is looking for a Senior Data Scientist to join their team. This individual will participate in all phases of the data and analytics lifecycle, including specifying data... capture requirements, analyzing patterns and trends in structured and unstructured data to provide insights on projects that span all facets of the Enterprise. Take these finding and synthesize them into dashboards or presentations that convey insights and recommendations through storytelling, while maintaining a balance between the big picture and mastery of details.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 31, 2026

Juno Beach, FL

|

Data Warehousing

|

Contract

|

$36 - $45 (hourly estimate)

{"JobID":513317,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-80.08,"Longitude":26.81,"Distance":null},"State":"Florida","Zip":"33408","ReferenceID":"FTL-2a450a23-fdb5-4891-9125-017e6a82d12a","PostedDate":"\/Date(1774987476000)\/","Description":"Insight Global is seeking a Principal Data Scientist ? Load \u0026 Renewable Generation Forecasting for a top energy and utilities client. This individual will lead the design, development, and deployment of advanced forecasting models supporting load, solar, and wind generation across mission-critical operations. The role blends deep data science expertise with real-world operational impact?working closely with trading, system operations, and engineering teams to deliver highly accurate, production-ready forecasting solutions. The ideal candidate thrives in complex environments, takes full ownership of the model lifecycle, and is passionate about building scalable systems that directly influence real-time energy decisions.?Lead end-to-end development of load, solar, and wind forecasting models?Design, deploy, and maintain production-grade forecasting systems?Build automated retraining, evaluation, and performance monitoring frameworks?Integrate weather and operational data via APIs and internal data warehouses?Develop scalable pipelines for real-time and batch forecasting?Partner closely with trading, system operations, and engineering teams?Create interactive dashboards to communicate forecasts and insights?Ensure forecasting solutions meet strict accuracy and operational deadlinespay rate: $45-$60/hrWe 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":"Juno Beach","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Advanced Python expertise (pandas, numpy, scikit-learn, statsmodels)?Strong background in time-series forecasting (ARIMA, SARIMAX, gradient boosting models)?Proven experience taking models from development to production?Experience integrating weather APIs and external data sources?Hands-on experience with AWS (EC2, S3, Lambda, SageMaker)?Strong SQL skills and experience querying large datasets?Experience building production monitoring, versioning, and retraining pipelines?Excellent communication skills with both technical and non-technical stakeholders","Skills":"?Energy markets, load forecasting, or renewable generation domain experience?Probabilistic forecasting and uncertainty quantification?Advanced feature engineering with weather and domain-specific signals?Experience with Streamlit, Plotly, or similar dashboarding tools?Agile/Scrum experience (Jira, Confluence)?Infrastructure-as-Code experience","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":45.0000,"SalaryLow":36.0000,"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)\/"}

Insight Global is seeking a Principal Data Scientist ? Load & Renewable Generation Forecasting for a top energy and utilities client. This individual will lead the design, development, and deployment... of advanced forecasting models supporting load, solar, and wind generation across mission-critical operations. The role blends deep data science expertise with real-world operational impact?working closely with trading, system operations, and engineering teams to deliver highly accurate, production-ready forecasting solutions. The ideal candidate thrives in complex environments, takes full ownership of the model lifecycle, and is passionate about building scalable systems that directly influence real-time energy decisions.?Lead end-to-end development of load, solar, and wind forecasting models?Design, deploy, and maintain production-grade forecasting systems?Build automated retraining, evaluation, and performance monitoring frameworks?Integrate weather and operational data via APIs and internal data warehouses?Develop scalable pipelines for real-time and batch forecasting?Partner closely with trading, system operations, and engineering teams?Create interactive dashboards to communicate forecasts and insights?Ensure forecasting solutions meet strict accuracy and operational deadlinespay rate: $45-$60/hrWe 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 23, 2026

Maryland Heights, MO

|

Data Warehousing

|

Contract,Perm Possible

|

$61 - $76 (hourly estimate)

{"JobID":509733,"JobType":["Contract,Perm Possible"],"EmployerID":null,"Location":{"Latitude":-90.47,"Longitude":38.72,"Distance":null},"State":"Missouri","Zip":"63043","ReferenceID":"STL-1021feeb-0b78-428c-87ea-1d8948bffd45","PostedDate":"\/Date(1774284377000)\/","Description":"Insight Global is looking to add a Senior Data Scientist to their Telecommunications client. We are looking for an individual with strong, hands-on experience designing, building, training, and implementing AI/ML models in production environments. This role requires hands on experience in AI and machine learning, deep Python expertise, and extensive use of AWS (including AWS Bedrock) and GCP. The ideal candidate has a strong database background (Oracle, SQL, MongoDB) or experience working with infrastructure operating systems, and has served as a technical lead on AI initiatives. This individual must be able to clearly explain prior use cases, methodologies, tools selected, and whether solutions were successfully implemented, while adapting quickly to the rapidly evolving AI landscape.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":"Maryland Heights","ExpirationDate":null,"PriorityOrder":0,"Requirements":"10 years of hands-on experience in AI and machine learning developmentBachelor?s degree in Data Science, Computer Science, or a related fieldProven experience architecting, designing, coding, training, and implementing ML models in productionStrong Python programming experienceHands-on experience with AWS (including AWS Bedrock) and cloud-based ML solutionsExperience with monitoring and dashboarding tools such as Prometheus and GrafanaDatabase experience with Oracle, SQL, and MongoDB or background working with infrastructure operating systemsExperience leading or owning AI/ML projects end to end","Skills":"- AWS, GCP, or similar certification","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":76.0000,"SalaryLow":60.8000,"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 looking to add a Senior Data Scientist to their Telecommunications client. We are looking for an individual with strong, hands-on experience designing, building, training, and... implementing AI/ML models in production environments. This role requires hands on experience in AI and machine learning, deep Python expertise, and extensive use of AWS (including AWS Bedrock) and GCP. The ideal candidate has a strong database background (Oracle, SQL, MongoDB) or experience working with infrastructure operating systems, and has served as a technical lead on AI initiatives. This individual must be able to clearly explain prior use cases, methodologies, tools selected, and whether solutions were successfully implemented, while adapting quickly to the rapidly evolving AI landscape.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 25, 2026

Erlanger, KY

|

Data Warehousing

|

Contract-to-perm

|

$12 - $15 (hourly estimate)

{"JobID":510799,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-84.58,"Longitude":39,"Distance":null},"State":"Kentucky","Zip":"41018","ReferenceID":"CIN-38c43e42-5def-401e-b139-9f652fc4f6d3","PostedDate":"\/Date(1774444939000)\/","Description":"A fortune 100 company is seeking a Data Scientist for a contract to hire role that will work onsite 3 days a week in the Bengaluru India area. You will join a small and highly collaborative team that is responsible for rapid prototyping. To be successful, you will need to have a positive mindset, proactive problem solving mentality that strives to deliver solutions to the customer.This individual will be responsible for the following:Partner with business users and leaders in problem solving approaches and exploring business challenges that can be addressed with data science and machine learning. Learn and understand Business domain, and co-develop narratives guiding business users through ideation and estimation on solutions that drive business value.Analyze data, build statistical \u0026 machine learning models and algorithms. Improve upon existing machine learning methodologies by identifying new data sources, developing and testing model enhancements, running computational experiments, and fine-tuning model parameters for new models. Formalize assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them, and ensuring deliverables meet scope, quality and timeline targets.Proven experience and knowledge of Python, R, with strong SQL skills. Strong knowledge of visualization in Power BI \u0026 experience of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.Proven experience and knowledge of a variety of machine learning techniques (clustering, decision tree learning, etc.) along with Experience in an Azure environment highly preferred, combined with Experience working with enterprise scale databases, with demonstrated ability to independently query and prepare data for analysis.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-India - Data Scientist","City":"Erlanger","ExpirationDate":null,"PriorityOrder":0,"Requirements":"3-5 years of experience in Data Science 3+ years of experience working with Generative AI models, Prompt Engineering, RAG, or finetuning using LLM\u0027s LVM\u0027s or TTS2+ years of experience with frameworks like TensorFlow, PyTorch, and working knowledge of Generative AI models like GPT and GANs2+ years of experience with Python, R and SQL for data analysis, modeling, and data pipeline developmentExperience deploying to cloud platforms (Azure, AWS, Google Cloud) and large-scale data processing tools (e.g., Hadoop, Spark).","Skills":"PowerBI, tableau or other visualization tools Masters or PhD Degree in a quantitative field such as Machine Learning, Data Science, Statistics, Applied Mathematics, Physics, Computer Science, or Economics Experience in Azure Experience with Azure Devops or GitHub Understanding of terraform or infrastructure as code","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":15.0000,"SalaryLow":12.0000,"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)\/"}

A fortune 100 company is seeking a Data Scientist for a contract to hire role that will work onsite 3 days a week in the Bengaluru India area. You will join a small and highly collaborative team that... is responsible for rapid prototyping. To be successful, you will need to have a positive mindset, proactive problem solving mentality that strives to deliver solutions to the customer.This individual will be responsible for the following:Partner with business users and leaders in problem solving approaches and exploring business challenges that can be addressed with data science and machine learning. Learn and understand Business domain, and co-develop narratives guiding business users through ideation and estimation on solutions that drive business value.Analyze data, build statistical & machine learning models and algorithms. Improve upon existing machine learning methodologies by identifying new data sources, developing and testing model enhancements, running computational experiments, and fine-tuning model parameters for new models. Formalize assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them, and ensuring deliverables meet scope, quality and timeline targets.Proven experience and knowledge of Python, R, with strong SQL skills. Strong knowledge of visualization in Power BI & experience of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.Proven experience and knowledge of a variety of machine learning techniques (clustering, decision tree learning, etc.) along with Experience in an Azure environment highly preferred, combined with Experience working with enterprise scale databases, with demonstrated ability to independently query and prepare data for analysis.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 06, 2026

Stamford, CT

|

Database Administrator (DBA)

|

Contract-to-perm

|

$52 - $65 (hourly estimate)

{"JobID":515316,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-73.5422,"Longitude":41.0541,"Distance":null},"State":"Connecticut","Zip":"06902","ReferenceID":"HAR-cb0ccafa-d581-4e51-8cfd-b618a65af90b","PostedDate":"\/Date(1775485895000)\/","Description":"Insight Global is seeking a Data Scientist / Developer role for an incentives team. This role combines advanced analytics, incentive modeling, and hands-on backend development to standardize incentive structures. This person will support the build and maintenance of a new web-based incentive portal, including integrating data from multiple sources, transitioning Alteryx processes to scalable AWS-based automation, and developing backend services. As well as delivering dashboards, forecasts, and insights that drive sales channel decision-making in an agile, AI-first development environment. This is a 6-month contract to hire and pays $56-$62hr.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":"Stamford","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 7+ years in data science, advanced analytics, or incentive/performance modeling? Expert-level SQL skills (T-SQL and/or Redshift SQL)? Including complex query writing, stored procedure development, performance tuning, and data modeling? Design, develop, and maintain complex incentive models and performance metrics? Strong proficiency in Python and AWS Redshift ? Build and deploy serverless microservices (Lambda, API Gateway) ? Build and support backend systems and data integration processes Designing and developing data integration processes, data models, and backend systems","Skills":"Experience building or maintaining web-based analytics portals or applications","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":65.0000,"SalaryLow":52.0000,"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)\/"}

Insight Global is seeking a Data Scientist / Developer role for an incentives team. This role combines advanced analytics, incentive modeling, and hands-on backend development to standardize... incentive structures. This person will support the build and maintenance of a new web-based incentive portal, including integrating data from multiple sources, transitioning Alteryx processes to scalable AWS-based automation, and developing backend services. As well as delivering dashboards, forecasts, and insights that drive sales channel decision-making in an agile, AI-first development environment. This is a 6-month contract to hire and pays $56-$62hr.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 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/.

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