Job Search Results for data scientist
Jan 26, 2026
Camden, NJ
|
IT (DNU)
|
Perm
|
$95k - $120k (estimate)
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The Data Scientist plays a pivotal role in planning, executing, and delivering machine learning-based projects that drive business impact. This role involves analyzing large datasets, developing... AI/ML/optimization models, and translating findings into actionable insights. The Data Scientist partners with business and operational leaders, supports senior leadership with analytics, and fosters a culture of data-driven decision-making across the organization.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Nov 08, 2023
Charlotte, NC
|
Database Administrator (DBA)
|
Contract-to-perm
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$44 - $55 (hourly estimate)
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Insight Global is seeking a Data Engineer for one of our large retail food service clients. This position will be within the BI & Analytics group supporting unattended retail solutions for clients... and consumers across the US. This individual will be responsible for the following:- Develop the comprehensive knowledge required to support existing Production models and forecast solutions- Implement automated processes for efficiently generating and monitoring production forecasting models- Design and creates algorithms, machine-learning models, re-trains and tunes the model for efficiency and scalability in a cloud environment- Develop ad hoc and statistical analysis to determine trends and significant relationships- Develop and validates predictive and prescriptive models to identify opportunity for business improvement- Identifies unique opportunities and strategizes new uses for data; active engagement with the business customer to identify measurable criteria - Present and communicates complex analyses and content appropriate for the audience- Collaborate and develops a working relationship with IT, Data Engineers and Analytics teams to understand and share best practices and inter-dependencies between teams, data sources, technologies, and platforms - Accountable for ensuring high quality solutions are delivered within project timelinesWe are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .
Mar 18, 2026
Miami, FL
|
Business Analyst (BA)
|
Contract-to-perm
|
$38 - $47 (hourly estimate)
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Our client in the cruiseline industry is looking for a Data Scientist to join their Marketing Technology team! This role will be supporting the creting and maintenance of data analysis and predictive... models to support marketing and sales efforts. This role will focus on various stages of the model development lifecycle, including data engineering, model design, testing, deployment, and monitoring, while collaborating with cross-functional teams.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)
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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 30, 2026
Newark, NJ
|
Computer Engineering
|
Contract-to-perm
|
$43 - $54 (hourly estimate)
{"JobID":512569,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-74.1735,"Longitude":40.7334,"Distance":null},"State":"New Jersey","Zip":"07102","ReferenceID":"NNJ-8144ac6c-4dfe-4eaa-8990-819f3a1da84c","PostedDate":"\/Date(1774886331000)\/","Description":"We are seeking an experienced Data Scientist to join our clients Life Insurance Underwriting team. This role will support large-scale underwriting initiatives focused on mortality risk modeling and premium determination. The ideal candidate brings strong traditional data science experience, a solid foundation in statistical and machine learning techniques, and the ability to work independently in a production, business-facing environment. This is not a data engineering or GenAI-heavy role. The majority of the work will focus on classical machine learning and statistical modeling using structured health and insurance data. Key ResponsibilitiesDevelop, validate, and maintain machine learning and statistical models to support life insurance underwriting decisionsAnalyze and model health and demographic data to assess mortality risk and premium outcomesTranslate underwriting and business requirements into analytical solutionsPartner with underwriters, analysts, and stakeholders to interpret model outputs and findingsConduct exploratory data analysis, feature engineering, and model performance evaluationDocument methodologies, assumptions, and results in a clear and structured mannerContribute to model lifecycle activities including monitoring and refinementOperate independently while collaborating effectively within a broader analytics teamWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Scientist","City":"Newark","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Strong experience in traditional data science and machine learningProficiency in Python and SQLHands-on experience with:? Regression models? Random Forest? Gradient boosting methods (e.g., XGBoost)Experience working in a Git/GitHub-based development environmentFamiliarity with standard data science workflows and best practicesMasters or PhD in a Data Science related field","Skills":"Experience in insurance, life insurance underwriting, healthcare, or health data analyticsExposure to actuarial concepts or risk modelingLimited exposure to AI / GenAI tools (expected usage ~10?15%, not a core requirement)","Industry":"Computer Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":54.0000,"SalaryLow":43.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
We are seeking an experienced Data Scientist to join our clients Life Insurance Underwriting team. This role will support large-scale underwriting initiatives focused on mortality risk modeling and... premium determination. The ideal candidate brings strong traditional data science experience, a solid foundation in statistical and machine learning techniques, and the ability to work independently in a production, business-facing environment. This is not a data engineering or GenAI-heavy role. The majority of the work will focus on classical machine learning and statistical modeling using structured health and insurance data. Key ResponsibilitiesDevelop, validate, and maintain machine learning and statistical models to support life insurance underwriting decisionsAnalyze and model health and demographic data to assess mortality risk and premium outcomesTranslate underwriting and business requirements into analytical solutionsPartner with underwriters, analysts, and stakeholders to interpret model outputs and findingsConduct exploratory data analysis, feature engineering, and model performance evaluationDocument methodologies, assumptions, and results in a clear and structured mannerContribute to model lifecycle activities including monitoring and refinementOperate independently while collaborating effectively within a broader analytics teamWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Apr 02, 2026
Oakland, CA
|
Data Warehousing
|
Contract
|
$68 - $85 (hourly estimate)
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This role will help balance the group by emphasizing practical problem solving, system design, and scalable machine learning solutions, while still engaging deeply in data science and model development.________________________________________Key Responsibilities?Design, develop, and deploy machine learning systems supporting wildfire consequence modeling?Collaborate closely with academic researchers and data scientists to translate research concepts into production ready models?Lead or contribute to solution architecture for data and ML workflows, balancing performance, scalability, and maintainability?Design and implement end to end ML pipelines, including data ingestion, feature engineering, model training, and inference?Apply strong software engineering principles to machine learning model development?Support and guide architectural decisions related to cloud infrastructure, tooling, and integrations?Work hands on with geospatial data and analytics relevant to wildfire modeling?Partner with the broader data science team to improve model robustness, scalability, and operational readinessWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Scientist/Machine Learning Engineer","City":"Oakland","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Required Qualifications?Professional experience developing and designing machine learning technologies and systems?Strong Python skills, with experience building production grade data and ML solutions?Experience with PySpark for large scale data processing?Experience working on a data science or machine learning team, collaborating with researchers or academics?Ability to both problem solve analytically and design scalable models and systems?Comfortable operating as a hybrid Machine Learning Engineer / Data Scientist________________________________________Technical \u0026 Platform Experience?Cloud \u0026 Data Platforms:oAWS ecosystem, including SageMaker, S3, Lambda, GlueoAnd/or experience with SnowflakeoAnd/or Palantir Foundry?Architecture \u0026 Systems:oSolution architecture for data and ML systemsoModel pipelines, APIs, and system integrations________________________________________Geospatial \u0026 Domain Expertise?Strong geospatial analytics experience using Python, including tools such as:orioxarrayoGDALorasterioogeopandasodask?SQL experience supporting geospatial or analytical workloads?Experience or strong interest in wildfire spread or consequence modeling________________________________________Nice to Have / Preferred?Experience in wildfire modeling, environmental modeling, or risk/consequence modeling?Background working in applied ML environments where research transitions into production?Experience mentoring or supporting academic researchers in applied engineering contexts________________________________________What Makes This Role Unique?Opportunity to balance an academically driven team with practical, solution oriented engineering?High impact work supporting wildfire risk and consequence analysis?Strong influence over system design and technical direction?Blend of data science depth and software engineering rigor","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":85.0000,"SalaryLow":68.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
We are seeking a Machine Learning Engineer?leaning Data Scientist to join the Wildfire Consequence Modeling team. This role is ideal for someone who can work effectively with academically oriented... researchers while bringing a solution architecture and software engineering mindset to model design, implementation, and production grade systems.The team is composed primarily of individuals with academic backgrounds. This role will help balance the group by emphasizing practical problem solving, system design, and scalable machine learning solutions, while still engaging deeply in data science and model development.________________________________________Key Responsibilities?Design, develop, and deploy machine learning systems supporting wildfire consequence modeling?Collaborate closely with academic researchers and data scientists to translate research concepts into production ready models?Lead or contribute to solution architecture for data and ML workflows, balancing performance, scalability, and maintainability?Design and implement end to end ML pipelines, including data ingestion, feature engineering, model training, and inference?Apply strong software engineering principles to machine learning model development?Support and guide architectural decisions related to cloud infrastructure, tooling, and integrations?Work hands on with geospatial data and analytics relevant to wildfire modeling?Partner with the broader data science team to improve model robustness, scalability, and operational readinessWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Mar 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/.
Apr 13, 2026
Newark, NJ
|
Materials Science & Engineering
|
Contract-to-perm
|
$43 - $54 (hourly estimate)
{"JobID":517943,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-74.1735,"Longitude":40.7334,"Distance":null},"State":"New Jersey","Zip":"07102","ReferenceID":"NNJ-e953833f-a21f-4d50-a1dc-5d3d857d3a30","PostedDate":"\/Date(1776085659000)\/","Description":"? Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development.? Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems.? Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle.? Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns.? Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms.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":"Newark","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? AI Engineering \u0026 Production AI Lifecycle: Ability to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle ? from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices.? Generative AI, Agentic \u0026 Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering ? prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems.? Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models? Data Acquisition and Transformation: Acquiring data from disparate data sources using API?s and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.? Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.? Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured).? AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages.? Programming Languages: Python, SQL","Skills":"","Industry":"Materials Science \u0026 Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":54.0000,"SalaryLow":43.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
? Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements... specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development.? Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems.? Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle.? Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns.? Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms.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)
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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/.
Mar 31, 2026
Greenwood Village, CO
|
Data Warehousing
|
Contract
|
$27 - $34 (hourly estimate)
{"JobID":512951,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-104.99,"Longitude":39.64,"Distance":null},"State":"Colorado","Zip":"80111","ReferenceID":"HAR-74c90fba-3114-42a8-bbf4-0024a7653a74","PostedDate":"\/Date(1774959058000)\/","Description":"Insight Global is seeking a Jr. Bilingual Data Scientist/AI Engineer for one of our clients to sit in Denver, CO. This person will be joining a team who is focused on implementing AI for enhancing customer engagement and business usage. This person will work on 5-6 projects at once and be responsible for contributing to designing and developing different AI models for different uses. For example, a current project includes a model serving as a real-time coaching tool for call center agents. This person will spend their time creating models, fine-tuning, leading the team and working closely with the VP and SVP of the group. The current project is implementing new languages for the model to respond to. The team has a daily stand up to start the day and discuss the status of the project. The day would consist of 20% of time in meetings and 80% of time coding using Python to prompt AI models. This role will be performed 5 days a week on-site in Denver, CO. The pay will be 30-35/hr.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":"Jr. Bilingual AI Data Scientist","City":"Greenwood Village","ExpirationDate":null,"PriorityOrder":0,"Requirements":"0-2 years of experience as a data scientistFluency in SpanishFamilar with data wranglingPython/Pandas experienceSurface-level knowlegde of ML/AI","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)\/"}
Insight Global is seeking a Jr. Bilingual Data Scientist/AI Engineer for one of our clients to sit in Denver, CO. This person will be joining a team who is focused on implementing AI for enhancing... customer engagement and business usage. This person will work on 5-6 projects at once and be responsible for contributing to designing and developing different AI models for different uses. For example, a current project includes a model serving as a real-time coaching tool for call center agents. This person will spend their time creating models, fine-tuning, leading the team and working closely with the VP and SVP of the group. The current project is implementing new languages for the model to respond to. The team has a daily stand up to start the day and discuss the status of the project. The day would consist of 20% of time in meetings and 80% of time coding using Python to prompt AI models. This role will be performed 5 days a week on-site in Denver, CO. The pay will be 30-35/hr.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/.