Job Search Results for data scientist
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/.
Apr 17, 2026
Huntsville, AL
|
Database Administrator (DBA)
|
Contract-to-perm
|
$74 - $92 (hourly estimate)
{"JobID":520075,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-86.62,"Longitude":34.7,"Distance":null},"State":"Alabama","Zip":"35806","ReferenceID":"SDG-c0e1d5e1-0339-45f9-b812-e6910709ed78","PostedDate":"\/Date(1776399571000)\/","Description":"Insight Global is seeking a Senior Data Scientist / Engineer with a strong background in data infrastructure and large-scale data environments to support U.S. Space Command mission data initiatives.This role supports the definition, architecture, and engineering of a large-scale on-premises data environment designed to ingest, store, process, and distribute space domain data across multiple classification levels.The selected candidate will work closely with requirements engineers, system architects, and government stakeholders to define technical solutions for a mission-scale data platform supporting 30+ petabytes of data and scaling to 200?500 racks of compute, storage, and network infrastructure.This is not a traditional data science role. The position sits at the intersection of:Data engineeringData architectureInfrastructure engineeringSystems engineeringand will play a key role in shaping the technical direction, requirements development, and acquisition strategy for mission data systems.This role focuses on designing and supporting a large-scale data environment that will process and manage significant volumes of space domain data. The system is expected to scale to tens of petabytes of data and hundreds of infrastructure racks, supporting advanced analytics and mission operations.The ideal candidate has experience working with large data environments, distributed systems, or high-performance computing platforms, and understands how data platforms are designed from both a software and infrastructure perspective.This position offers the opportunity to support critical national security missions while working on complex, large-scale data and infrastructure challenges.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 Engineer/Scientist","City":"Huntsville","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-Bachelor?s degree in computer science, data science, engineering, or related quantitative field, and a current Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance-Minimum 7 years of progressive experience across both data engineering and data science disciplines, including expert proficiency in Python and Structured Query Language (SQL); demonstrated success designing Extract, Transform, Load/Extract, Load, Transform (ETL/ELT) pipelines; developing and deploying machine learning models; and working with big data technologies such as Apache Spark, Apache Airflow, or Apache Hadoop-Demonstrated knowledge of enterprise data architecture and storage hardware (e.g. Storage Area Networks (SAN), Network Attached Storage (NAS), and object storage), data center design principles, data governance practices, and understanding of space data characteristics, including experience with the National Space Intelligence Center (NSIC) Data Catalog-Develop architecture for large-scale data platforms supporting petabyte-scale storage and analytics workloads-Define infrastructure requirements including:Support planning for scalable environments r--aranging from 200?500 racks-Design distributed data environments including:Translate mission needs into technical system requirements and design artifacts-Support capacity planning, including threshold vs objective growth models-Assist with OTA, RFP, and acquisition planning activities-Evaluate vendor solutions and participate in technical reviews-Collaborate across cybersecurity, network, infrastructure, and mission teams-Support development of architecture documentation and engineering packages","Skills":"-Master?s degree or Doctor of Philosophy (PhD) in computer science, engineering, data science, or related field-Experience designing or supporting large-scale data environments (petabyte-scale)-Strong understanding of data center infrastructure and architecture-Experience with distributed data systems and high-performance computing (HPC) environments-Knowledge of data storage architectures (object storage, distributed systems)-Experience with data ingestion and large-scale analytics pipelines-Familiarity with DoD or Intelligence Community environments-Understanding of multi-classification or cross-domain architectures-Experience supporting technical requirements development and acquisition processes-Knowledge of data center and telecommunications standards (TIA-942, UFC guidance)","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":92.0000,"SalaryLow":73.6000,"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 Senior Data Scientist / Engineer with a strong background in data infrastructure and large-scale data environments to support U.S. Space Command mission data... initiatives.This role supports the definition, architecture, and engineering of a large-scale on-premises data environment designed to ingest, store, process, and distribute space domain data across multiple classification levels.The selected candidate will work closely with requirements engineers, system architects, and government stakeholders to define technical solutions for a mission-scale data platform supporting 30+ petabytes of data and scaling to 200?500 racks of compute, storage, and network infrastructure.This is not a traditional data science role. The position sits at the intersection of:Data engineeringData architectureInfrastructure engineeringSystems engineeringand will play a key role in shaping the technical direction, requirements development, and acquisition strategy for mission data systems.This role focuses on designing and supporting a large-scale data environment that will process and manage significant volumes of space domain data. The system is expected to scale to tens of petabytes of data and hundreds of infrastructure racks, supporting advanced analytics and mission operations.The ideal candidate has experience working with large data environments, distributed systems, or high-performance computing platforms, and understands how data platforms are designed from both a software and infrastructure perspective.This position offers the opportunity to support critical national security missions while working on complex, large-scale data and infrastructure challenges.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/.
Feb 16, 2026
Spring, TX
|
Database Administrator (DBA)
|
Perm
|
$150k - $180k (estimate)
{"JobID":495494,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-95.38,"Longitude":30.06,"Distance":null},"State":"Texas","Zip":"77389","ReferenceID":"HOU-8dbceb74-a286-4e7e-b0f4-a3d8ad9efea3","PostedDate":"\/Date(1771282218000)\/","Description":"The Senior Data Scientist II analyzes complex structured and unstructured data using state-of-the-art data science methods for data driven decision making. Develop algorithms that enable machines to perform tasks that typically require human intelligence. Moreover, this role uses both knowledge of data science and Artificial Intelligence methods and applies them to solve real world problems. The Senior Data Scientist II mentors junior team members, leads development of data products, communicates complex solutions effectively, and guides decision-making within the organization.What You Will Do:? Apply advanced data science concepts to deliver data-driven digital offerings and insights using Databricks Lakehouse architecture.? Utilize modern machine learning methods and domain understanding to support the creation of new products and services, leveraging MLflow for experiment tracking and model lifecycle management.? Collaborate with data and analytics teams and cross-functional departments such as digital, services, class, and engineering to build scalable ML solutions and deliver actionable insights.? Write independent source code in Python, PySpark, and SQL, validate and test models, and use Databricks Feature Store for consistent feature reuse and governance.? Design and implement robust data architectures using Delta Lake and manage data assets securely via Unity Catalog and Azure Data Lake.? Combine Agile methodologies with data science practices to build advanced analytics and AI products using Databricks Workflows and Azure ML Pipelines.? Develop, test, deploy, and maintain machine learning and AI models using Databricks Runtime for ML, ensuring scalability, performance, and governance.? Lead the data-driven decision-making process, from data collection and analysis to implementation and monitoring of solutions using Databricks Jobs, CI/CD pipelines, and Azure DevOps.? Support organizational decision-making based on the results of analytics efforts, ensuring traceability and governance via Unity Catalog and Azure Purview.? Work independently on data engineering, preprocessing, and preparation tasks using Databricks Notebooks, SQL Warehouses, and Azure Synapse Analytics.? Mentor data scientists, ASPIRES, and interns, providing guidance and support in their professional development and technical growth.? Evaluate and partner with external customers, vendors, university relations, and other teams to drive innovation and collaboration.? Stay current in the field of AI and advanced analytics, with a focus on innovations within the Databricks, Azure, and OpenAI ecosystems, including LLMs, GenAI, and MLOps.? Develop and deploy scalable and interpretable data products per business-defined requirements using Databricks Repos, Model Serving, and Azure Machine Learning. This position is required to sit onsite in Spring, TX 3 days / week (Tues-Thurs), and it offers a base salary range of $150,000-$170,000.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":"Spring","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? Bachelor?s Degree in Data Science, Information Systems, Computer Science, Engineering or other relevant field with relevant experience.? Required -5 or more years of experience in Data Science, Information Systems, Computer Science, Engineering, or other field with relevant experience.? Proficient in machine learning, data mining, statistical analysis, and applied AI methods using Databricks, Azure ML, and Dataiku.? Strong experience with DataBricks? Skilled in developing scalable ML solutions and translating analytics into business impact.? Advanced proficiency in Python, PySpark, SQL, and tools such as Jupyter, VS Code, and MLflow.? Experience with database technologies and architectures including Delta Lake, Azure Data Lake, SQL Warehouses, and Synapse Analytics.? Hands-on experience with AutoML platforms such as Dataiku, and familiarity with Azure AutoML.? Deep understanding of Azure Cloud resources, including Azure Machine Learning, Azure DevOps, Azure Cognitive Search, and Azure OpenAI.? Familiarity with Generative AI solutions, Large Language Models, and NLP frameworks like Hugging Face Transformers.","Skills":"? Career Essentials in Generative AI by Microsoft and LinkedIn? Build Your Generative AI Productivity Skills with Microsoft and LinkedIn? Azure AI Fundamentals? Azure Data Scientist Associate? Azure AI Engineer Associate/Databricks Certification","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":180000.0000,"SalaryLow":150000.0000,"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)\/"}
The Senior Data Scientist II analyzes complex structured and unstructured data using state-of-the-art data science methods for data driven decision making. Develop algorithms that enable machines to... perform tasks that typically require human intelligence. Moreover, this role uses both knowledge of data science and Artificial Intelligence methods and applies them to solve real world problems. The Senior Data Scientist II mentors junior team members, leads development of data products, communicates complex solutions effectively, and guides decision-making within the organization.What You Will Do:? Apply advanced data science concepts to deliver data-driven digital offerings and insights using Databricks Lakehouse architecture.? Utilize modern machine learning methods and domain understanding to support the creation of new products and services, leveraging MLflow for experiment tracking and model lifecycle management.? Collaborate with data and analytics teams and cross-functional departments such as digital, services, class, and engineering to build scalable ML solutions and deliver actionable insights.? Write independent source code in Python, PySpark, and SQL, validate and test models, and use Databricks Feature Store for consistent feature reuse and governance.? Design and implement robust data architectures using Delta Lake and manage data assets securely via Unity Catalog and Azure Data Lake.? Combine Agile methodologies with data science practices to build advanced analytics and AI products using Databricks Workflows and Azure ML Pipelines.? Develop, test, deploy, and maintain machine learning and AI models using Databricks Runtime for ML, ensuring scalability, performance, and governance.? Lead the data-driven decision-making process, from data collection and analysis to implementation and monitoring of solutions using Databricks Jobs, CI/CD pipelines, and Azure DevOps.? Support organizational decision-making based on the results of analytics efforts, ensuring traceability and governance via Unity Catalog and Azure Purview.? Work independently on data engineering, preprocessing, and preparation tasks using Databricks Notebooks, SQL Warehouses, and Azure Synapse Analytics.? Mentor data scientists, ASPIRES, and interns, providing guidance and support in their professional development and technical growth.? Evaluate and partner with external customers, vendors, university relations, and other teams to drive innovation and collaboration.? Stay current in the field of AI and advanced analytics, with a focus on innovations within the Databricks, Azure, and OpenAI ecosystems, including LLMs, GenAI, and MLOps.? Develop and deploy scalable and interpretable data products per business-defined requirements using Databricks Repos, Model Serving, and Azure Machine Learning. This position is required to sit onsite in Spring, TX 3 days / week (Tues-Thurs), and it offers a base salary range of $150,000-$170,000.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 20, 2026
Allendale, NJ
|
Materials Science & Engineering
|
Contract
|
$16 - $20 (hourly estimate)
{"JobID":520554,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-74.1345,"Longitude":41.0325,"Distance":null},"State":"New Jersey","Zip":"07401","ReferenceID":"HAR-3979f6d6-f8fd-42a4-86fe-07fbece35d5d","PostedDate":"\/Date(1776690641000)\/","Description":"Insight Global is seeking a Contract Scientist to support a leading consumer products organization within the sun care space. This individual will partner closely with cross-functional teams to develop and execute research plans focused on sun care technology advancements. The Scientist will work hands-on in the lab formulating products, analyzing data, and translating findings into clear, actionable insights. This role is ideal for a detail-oriented, proactive scientist who thrives in a collaborative environment and is passionate about innovation, research excellence, and product development within personal care.Day-to-Day:- Batch and support lab-scale sun care formulations- Design and execute research investigations aligned to project objectives- Capture critical experimental data and report findings monthly to stakeholders- Write progress reports, test reports, and provide technical updates in meetings- Maintain ongoing communication with cross-functional teams- Support sun care product development and new method implementation- Perform in-depth data analysis and integrate results into actionable recommendations- Apply statistical analysis tools to product, process, and consumer data- Identify and report Ways of Working (WOW) workflow improvements- Utilize technical tools such as automated data systems, PLM, and Microsoft Office- Maintain strong documentation practices in accordance with company policies- Continuously build technical knowledge within sun care technology- Participate in cross-functional project teams as a technical contributorWe 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":"Scientist","City":"Allendale","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- 1?2 years of experience in sunscreen (lotions and sprays) or cosmetic product development- General knowledge of cosmetic lab environments (ex: body washes, skin care)- Bachelor?s degree in Chemistry or Chemical Engineering with 2+ years of experience OR advanced degree (MS or PhD) in Science or Engineering- Experience with sun care and/or skin care product development (formulation \u0026 packaging protocols)- Strong documentation skills with high attention to detail- Comfortable working cross-functionally and independently- Strong decision-making and problem-solving skills- Experience capturing, analyzing, and reporting experimental data- Proficient with PowerPoint and Excel- Basic understanding of product/process/consumer-based research- Ability to design, execute, analyze, and report research studies- Familiarity with quantitative and qualitative testing, statistics, and DOE- Excellent written and verbal communication skills","Skills":"- Direct sunscreen formulation experience- Background working in large, well-established companies- Extensive hands-on laboratory experience- Experience with PLM systems or FormulaNet","Industry":"Materials Science \u0026 Engineering","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":20.0000,"SalaryLow":16.0000,"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 Contract Scientist to support a leading consumer products organization within the sun care space. This individual will partner closely with cross-functional teams to... develop and execute research plans focused on sun care technology advancements. The Scientist will work hands-on in the lab formulating products, analyzing data, and translating findings into clear, actionable insights. This role is ideal for a detail-oriented, proactive scientist who thrives in a collaborative environment and is passionate about innovation, research excellence, and product development within personal care.Day-to-Day:- Batch and support lab-scale sun care formulations- Design and execute research investigations aligned to project objectives- Capture critical experimental data and report findings monthly to stakeholders- Write progress reports, test reports, and provide technical updates in meetings- Maintain ongoing communication with cross-functional teams- Support sun care product development and new method implementation- Perform in-depth data analysis and integrate results into actionable recommendations- Apply statistical analysis tools to product, process, and consumer data- Identify and report Ways of Working (WOW) workflow improvements- Utilize technical tools such as automated data systems, PLM, and Microsoft Office- Maintain strong documentation practices in accordance with company policies- Continuously build technical knowledge within sun care technology- Participate in cross-functional project teams as a technical contributorWe 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 18, 2026
Saint-Paul, MN
|
Data Warehousing
|
Contract-to-perm
|
$27 - $34 (hourly estimate)
{"JobID":508060,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-93.1,"Longitude":44.94,"Distance":null},"State":"Minnesota","Zip":"55102","ReferenceID":"MSP-220ff743-5f62-4b21-a561-49052d26de32","PostedDate":"\/Date(1773847231000)\/","Description":"We are seeking a Principal Data Scientist with strong expertise in classical machine learning, regression modeling, and statistical predictive analytics. This role is ideal for someone with a statistics-focused educational background (or similar quantitative discipline) who can independently drive model development, translate business needs into analytical solutions, and deliver impactful insights to stakeholders. You will work extensively with structured hospitality data to build features, develop predictive models, and support sales and service?focused use cases. This is a highly independent, creative role requiring strong communication, storytelling, and stakeholder partnership skills. Responsibilities include: Develop, test, and deploy classical machine learning models, with a core focus on regression-based predictive modeling. Prepare, clean, and transform structured data to build high quality features for modeling. Collaborate regularly with cross functional stakeholders to understand business goals, clarify requirements, and align analytical work with strategic needs. Own end to end development of sales and service?specific use cases, from discovery to deployment. Communicate complex analytical findings in a compelling, accessible way to both technical and non technical audiences. Explore and apply GenAI techniques as they enhance modeling, efficiency, and analysis workflows. Work independently to structure analytical approaches, evaluate methods, and recommend model driven solutions.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 Lead/Principal Data Scientist - INTL","City":"Saint-Paul","ExpirationDate":null,"PriorityOrder":0,"Requirements":"9+ years of experience as a Lead or Principal Data ScientistAbility to storytell with stakeholdersFormer experience being heavily involved in end to end stages (proof of concept to production)Strong foundation in classical machine learning (Classical ML), statistical modeling, and regression methods. Educational background in Statistics, Mathematics, Physics, Chemistry, Data Science, Computer Science, Engineering, or a related quantitative field. Strong experience with Snowflake Experience with GenAI concepts, tools, or applied use cases. Strong experience preparing, wrangling, and transforming structured datasets. Ability to work independently with minimal direction while managing multiple analytical workstreams. Excellent communication, data storytelling, and stakeholder management skills.","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":34.0000,"SalaryLow":27.2000,"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 a Principal Data Scientist with strong expertise in classical machine learning, regression modeling, and statistical predictive analytics. This role is ideal for someone with a... statistics-focused educational background (or similar quantitative discipline) who can independently drive model development, translate business needs into analytical solutions, and deliver impactful insights to stakeholders. You will work extensively with structured hospitality data to build features, develop predictive models, and support sales and service?focused use cases. This is a highly independent, creative role requiring strong communication, storytelling, and stakeholder partnership skills. Responsibilities include: Develop, test, and deploy classical machine learning models, with a core focus on regression-based predictive modeling. Prepare, clean, and transform structured data to build high quality features for modeling. Collaborate regularly with cross functional stakeholders to understand business goals, clarify requirements, and align analytical work with strategic needs. Own end to end development of sales and service?specific use cases, from discovery to deployment. Communicate complex analytical findings in a compelling, accessible way to both technical and non technical audiences. Explore and apply GenAI techniques as they enhance modeling, efficiency, and analysis workflows. Work independently to structure analytical approaches, evaluate methods, and recommend model driven solutions.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 15, 2026
Saint-Paul, MN
|
Data Warehousing
|
Perm
|
$29k - $36k (estimate)
{"JobID":519487,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-93.1,"Longitude":44.94,"Distance":null},"State":"Minnesota","Zip":"55102","ReferenceID":"MSP-78bec63d-5b42-49aa-9313-e3cde3a48e31","PostedDate":"\/Date(1776293892000)\/","Description":"We are seeking a Principal Data Scientist with strong expertise in classical machine learning, regression modeling, and statistical predictive analytics. This role is ideal for someone with a statistics-focused educational background (or similar quantitative discipline) who can independently drive model development, translate business needs into analytical solutions, and deliver impactful insights to stakeholders. You will work extensively with structured hospitality data to build features, develop predictive models, and support sales and service?focused use cases. This is a highly independent, creative role requiring strong communication, storytelling, and stakeholder partnership skills. Responsibilities include: Develop, test, and deploy classical machine learning models, with a core focus on regression-based predictive modeling. Prepare, clean, and transform structured data to build high quality features for modeling. Collaborate regularly with cross functional stakeholders to understand business goals, clarify requirements, and align analytical work with strategic needs. Own end to end development of sales and service?specific use cases, from discovery to deployment. Communicate complex analytical findings in a compelling, accessible way to both technical and non technical audiences. Explore and apply GenAI techniques as they enhance modeling, efficiency, and analysis workflows. Work independently to structure analytical approaches, evaluate methods, and recommend model driven solutions.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 Lead/Principal Data Scientist - INTL","City":"Saint-Paul","ExpirationDate":null,"PriorityOrder":0,"Requirements":"9+ years of experience as a Lead or Principal Data ScientistAbility to storytell with stakeholdersFormer experience being heavily involved in end to end stages (proof of concept to production)Strong foundation in classical machine learning (Classical ML), statistical modeling, and regression methods. Educational background in Statistics, Mathematics, Physics, Chemistry, Data Science, Computer Science, Engineering, or a related quantitative field. Strong experience with Snowflake Experience with GenAI concepts, tools, or applied use cases. Strong experience preparing, wrangling, and transforming structured datasets. Ability to work independently with minimal direction while managing multiple analytical workstreams. Excellent communication, data storytelling, and stakeholder management skills.","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":36000.0000,"SalaryLow":28800.0000,"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 with strong expertise in classical machine learning, regression modeling, and statistical predictive analytics. This role is ideal for someone with a... statistics-focused educational background (or similar quantitative discipline) who can independently drive model development, translate business needs into analytical solutions, and deliver impactful insights to stakeholders. You will work extensively with structured hospitality data to build features, develop predictive models, and support sales and service?focused use cases. This is a highly independent, creative role requiring strong communication, storytelling, and stakeholder partnership skills. Responsibilities include: Develop, test, and deploy classical machine learning models, with a core focus on regression-based predictive modeling. Prepare, clean, and transform structured data to build high quality features for modeling. Collaborate regularly with cross functional stakeholders to understand business goals, clarify requirements, and align analytical work with strategic needs. Own end to end development of sales and service?specific use cases, from discovery to deployment. Communicate complex analytical findings in a compelling, accessible way to both technical and non technical audiences. Explore and apply GenAI techniques as they enhance modeling, efficiency, and analysis workflows. Work independently to structure analytical approaches, evaluate methods, and recommend model driven solutions.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/.
Jan 05, 2026
Mclean, VA
|
Computer Engineering
|
Contract-to-perm
|
$91 - $114 (hourly estimate)
{"JobID":478363,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-77.19,"Longitude":38.94,"Distance":null},"State":"Virginia","Zip":"22101","ReferenceID":"DC0-473fce2e-0434-415d-b868-d598cc838063","PostedDate":"\/Date(1767624016000)\/","Description":"We are seeking a Geospatial Data Scientist with strong machine learning and data engineering skills to transform massive geospatial datasets into actionable insights. You will design and implement advanced algorithms for image analysis, spatial modeling, and predictive analytics to support mission critical decision making. This role combines deep technical expertise with creativity in applying AI/ML to geospatial intelligence challenges.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 - TSSCI w/ Poly","City":"Mclean","ExpirationDate":null,"PriorityOrder":0,"Requirements":"What You?ll Do?Analyze large scale geospatial datasets and imagery to extract patterns, trends, and quantifiable insights.?Write efficient, production ready code in Python, JavaScript, and auxiliary languages for data pipelines and visualization.?Apply advanced statistical and machine learning techniques (e.g., PCA, clustering, regression, NLP) to spatial and non spatial data.?Build predictive models and decision support tools for operational and strategic use cases.?Develop and optimize deep learning pipelines for image classification, object detection, and feature extraction using CNNs, RNNs, and Transformers.?Implement cutting edge workflows for automated data collection, preprocessing, and analysis.?Leverage frameworks such as PyTorch, TensorFlow, and Scikit learn for scalable ML solutions.?Utilize geospatial libraries (GDAL, Shapely, GeoPandas, Rasterio) to process raster and vector data.","Skills":"","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":114.0000,"SalaryLow":91.2000,"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 a Geospatial Data Scientist with strong machine learning and data engineering skills to transform massive geospatial datasets into actionable insights. You will design and implement... advanced algorithms for image analysis, spatial modeling, and predictive analytics to support mission critical decision making. This role combines deep technical expertise with creativity in applying AI/ML to geospatial intelligence challenges.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/.
Feb 09, 2026
San Ramon, CA
|
Database Administrator (DBA)
|
Contract
|
$52 - $65 (hourly estimate)
{"JobID":492091,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-121.99,"Longitude":37.78,"Distance":null},"State":"California","Zip":"94583","ReferenceID":"SFR-7fd38467-ef78-4454-97e2-72681dc324ac","PostedDate":"\/Date(1770612432000)\/","Description":"Insight Global Evergreen is seeking a talented Data Scientist to join our dynamic team and contribute to our data analytics and machine learning initiatives. You will be dedicated to leveraging data-driven insights to drive business growth and enhance customer experiences for one of our large utility clients in California. Key Responsibilities:?Data Analysis \u0026 Modeling: Utilize Python and R to analyze complex datasets, develop predictive models, and generate actionable insights.?Database Management: Manage and optimize data storage and retrieval using Snowflake, ensuring data integrity and performance.?Machine Learning: Design, implement, and evaluate machine learning algorithms to solve business problems.?Data Visualization: Create compelling visualizations to communicate findings to stakeholders using tools like Matplotlib, ggplot2, and other visualization libraries.?Collaboration: Work closely with cross-functional teams including data engineers, product managers, and business analysts to understand requirements and deliver solutions.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":"Specialist II (Data Scientist) - LPS","City":"San Ramon","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Bachelor\u0027s or Master\u0027s degree in Data Science, Computer Science, Statistics, or a related field.?Proven experience in data science roles, with a strong background in Python and R programming.?Proficiency in Snowflake for data warehousing and SQL for querying.?Advanced knowledge of Python and R ?Experience with machine learning frameworks and libraries.?Experience building models ?Data cleansing experience?Strong understanding of statistical methods and data analysis techniques.?Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment.","Skills":"?Azure experience ?Utility experience","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 Evergreen is seeking a talented Data Scientist to join our dynamic team and contribute to our data analytics and machine learning initiatives. You will be dedicated to leveraging... data-driven insights to drive business growth and enhance customer experiences for one of our large utility clients in California. Key Responsibilities:?Data Analysis & Modeling: Utilize Python and R to analyze complex datasets, develop predictive models, and generate actionable insights.?Database Management: Manage and optimize data storage and retrieval using Snowflake, ensuring data integrity and performance.?Machine Learning: Design, implement, and evaluate machine learning algorithms to solve business problems.?Data Visualization: Create compelling visualizations to communicate findings to stakeholders using tools like Matplotlib, ggplot2, and other visualization libraries.?Collaboration: Work closely with cross-functional teams including data engineers, product managers, and business analysts to understand requirements and deliver solutions.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 17, 2026
Quincy, MA
|
Computer Engineering
|
Contract
|
$48 - $60 (hourly estimate)
{"JobID":520138,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-71.0142,"Longitude":42.2404,"Distance":null},"State":"Massachusetts","Zip":"02169","ReferenceID":"BOS-d37f7fa2-a9b5-41c2-8fe5-bd8ed5cb2c88","PostedDate":"\/Date(1776435845000)\/","Description":"As a Senior Data Scientist, you?ll play a key role in designing and scaling advanced machine learning and AI solutions that drive personalization, recommendations, and intelligent automation across ADUSA?s digital platforms. You?ll collaborate closely with Machine Learning Engineers, Data Engineers, and Data Science Leads to turn data into business impact developing robust models, optimizing pipelines, and delivering measurable results that improve customer engagement and operational efficiency. Key Responsibilities? Build, test, and deploy recommendations, personalization, and predictive models that power digital experiences across banners.? Develop end-to-end ML pipelines from data preparation and feature engineering to model training, evaluation, and production inference.? Leverage Hugging Face Transformers, embedding models, and semantic search techniques to enhance product relevance and contextual understanding.? Explore generative AI and retrieval-augmented generation (RAG) approaches for product matching, search, and personalization.? Collaborate with MLEs to productionize models and ensure scalable, monitored, and retrainable ML systems.? Partner with Data Engineers to design efficient data flows and maintain clean, versioned datasets for model consumption.? Work with Data Science Leads and business stakeholders to define success metrics, design A/B experiments, and translate insights into data-driven actions.? Contribute to shared best practices, documentation, and continuous improvement of ADUSA?s advanced analytics ecosystem.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":"Quincy","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? Proficiency in Python, PySpark, and Databricks for large-scale data processing and ML development.? Strong experience with scikit-learn, PyTorch, TensorFlow, and Hugging Face libraries.? Proven background in recommendation systems, semantic search, or customer personalization models.? Experience in feature engineering, EDA, model evaluation, and MLOps workflows.? Familiarity with A/B testing frameworks and model observability practices.? Strong collaboration and communication skills to work effectively.","Skills":"","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":60.0000,"SalaryLow":48.0000,"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)\/"}
As a Senior Data Scientist, you?ll play a key role in designing and scaling advanced machine learning and AI solutions that drive personalization, recommendations, and intelligent automation across... ADUSA?s digital platforms. You?ll collaborate closely with Machine Learning Engineers, Data Engineers, and Data Science Leads to turn data into business impact developing robust models, optimizing pipelines, and delivering measurable results that improve customer engagement and operational efficiency. Key Responsibilities? Build, test, and deploy recommendations, personalization, and predictive models that power digital experiences across banners.? Develop end-to-end ML pipelines from data preparation and feature engineering to model training, evaluation, and production inference.? Leverage Hugging Face Transformers, embedding models, and semantic search techniques to enhance product relevance and contextual understanding.? Explore generative AI and retrieval-augmented generation (RAG) approaches for product matching, search, and personalization.? Collaborate with MLEs to productionize models and ensure scalable, monitored, and retrainable ML systems.? Partner with Data Engineers to design efficient data flows and maintain clean, versioned datasets for model consumption.? Work with Data Science Leads and business stakeholders to define success metrics, design A/B experiments, and translate insights into data-driven actions.? Contribute to shared best practices, documentation, and continuous improvement of ADUSA?s advanced analytics ecosystem.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 19, 2026
Tempe, AZ
|
Data Warehousing
|
Contract
|
$13 - $16 (hourly estimate)
{"JobID":508893,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-111.93,"Longitude":33.33,"Distance":null},"State":"Arizona","Zip":"85284","ReferenceID":"PHX-0c5b778e-bc05-4c0f-8748-c6a7681f1cfa","PostedDate":"\/Date(1773953161000)\/","Description":"We are seeking a highly skilled Data Scientist to join our client?s team in India. This individual will design and build scalable analytical solutions using statistics, mathematics, machine learning, and advanced AI techniques to drive customer insights, retention, and revenue optimization. Key responsibilities are shown below:?Develop data-driven solutions using statistical methods, mathematical modeling, ML/DL, and advanced AI?Design experiments (A/B, uplift modeling) and measure impact?Translate business problems into scalable data science solutions?Work with large-scale customer datasets (transactions, campaigns, behavior)Questions to ask on the front end: ?System design for ML pipelines (data ingestion ? feature engineering ? model ? scoring)?Scalability \u0026 performance optimization (Spark tuning, partitioning, caching)?Model deployment basics (batch/real-time scoring, APIs)?Version control using Git (branching, collaboration)?Experience with large-scale data processingWe 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 - Remote Data Scientist (Customer, Digital \u0026 Loyalty) - India","City":"Tempe","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-5+ years of experience working as a Data Scientist-Proven experience working in customer-centric domains, such as e-commerce, retail, or other industries where understanding customer behavior and delivering personalized solutions is critical-5+ years of experience working with Python for data modeling -5+ years of experience working with SQL-Coding experience with Databricks, specifically building pipelines, querying and processing tables, distributed computing, etc. -Experience with Scalability \u0026 performance optimization (Spark tuning, partitioning, caching)","Skills":"-Feature store concepts, ML pipelines (MLOps basics)-CI/CD pipelines for ML workflows","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":16.0000,"SalaryLow":12.8000,"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)\/"}
We are seeking a highly skilled Data Scientist to join our client?s team in India. This individual will design and build scalable analytical solutions using statistics, mathematics, machine learning,... and advanced AI techniques to drive customer insights, retention, and revenue optimization. Key responsibilities are shown below:?Develop data-driven solutions using statistical methods, mathematical modeling, ML/DL, and advanced AI?Design experiments (A/B, uplift modeling) and measure impact?Translate business problems into scalable data science solutions?Work with large-scale customer datasets (transactions, campaigns, behavior)Questions to ask on the front end: ?System design for ML pipelines (data ingestion ? feature engineering ? model ? scoring)?Scalability & performance optimization (Spark tuning, partitioning, caching)?Model deployment basics (batch/real-time scoring, APIs)?Version control using Git (branching, collaboration)?Experience with large-scale data processingWe 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/.