Job Search Results for data scientist
Mar 02, 2026
Urbandale, IA
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Data Warehousing
|
Contract
|
$52 - $65 (hourly estimate)
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The Senior Data Scientist will play a pivotal role in driving data-driven decision-making processes and developing advanced analytical models. This may involve leading or participating in cross... functional/operating units? collaborations to define and develop applications of Artificial Intelligence and Machine Learning towards solving insurance problems. Building, refining, and improving existing models as well as developing new techniques and applications to different areas of insurance. The role requires a blend of strong technical expertise, statistical analysis, software engineering and a deep understanding of the insurance industry.? Collaborate with cross functional teams, including Actuaries, Underwriters, Product Managers to identify and define data science initiatives aligned with BRSS business goals and strategy.? Develop predictive models to assess risks and loss probabilities, enabling effective underwriting decisions and pricing strategies.? Utilize Machine Learning algorithms and statistical methods to analyze insurance trends, customer behaviors and market dynamics.? Design and implement experiments to test hypotheses and provide intuitive solutions to what happened, when, where and why, using data to enhance customer retention and profitable growth.? Create visualizations, dashboards, and slide decks to effectively communicate complex findings to non-technical stakeholders.? Conduct exploratory data analysis to identify patterns, anomalies, and opportunities for process improvements.? Collaborate with data engineers to develop data pipelines and integrate data sources ensuring data quality and integrity.? Build platforms and applications to accelerate data science operations including Model Monitoring and improve process efficiencies of business workflows.? Stay abreast of industry trends, emerging technologies and best practices in data science and insurance analytics.Pay rate ranges $55/hr - $65/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/.
Jun 05, 2026
Houston, TX
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Data Warehousing
|
Contract
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$50 - $62 (hourly estimate)
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Insight Global is searching for a highly skilled Data Scientist to support one of its largest oil & gas compression services clients in Houston, TX. This person will be responsible for building and... optimizing advanced machine learning models focused on predictive maintenance, with a strong emphasis on time series data analysis. They will leverage Python/PySpark in environments such as Microsoft Azure/Fabric, Jupyter Notebooks, and VS Code to develop and refine models, while also working closely with business stakeholders to translate complex statistical concepts and model outputs into clear, actionable insights. The ideal candidate will have a deep understanding of machine learning and deep learning techniques, strong communication skills, and the ability to explain the ?why? behind their work in a simplified way to non-technical audiences. This position will be based in Houston, TX and will follow a hybrid schedule of 3-4 days onsite. The pay rate for this position will be between $55-62/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/.
Jan 22, 2026
Portland, OR
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Data Warehousing
|
Contract-to-perm
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$40 - $50 (hourly estimate)
{"JobID":485880,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-122.73,"Longitude":45.55,"Distance":null},"State":"Oregon","Zip":"97210","ReferenceID":"POR-ac12c7f7-8c8a-4604-8e96-641d236112e0","PostedDate":"\/Date(1769121035000)\/","Description":"JDevelop, deploy, and maintain scalable machine learning models and analytical workflows using Databricks, Apache Spark, and cloud-based data platforms.Partner with financial domain stakeholders to understand business challenges related to risk, compliance, fraud, lending, investments, and customer analytics.Perform hands-on data exploration, feature engineering, statistical analysis, and modeling using Python, SQL, and Spark.Collaborate with data engineering teams to build reliable data pipelines and ensure high-quality, production-ready datasets.Communicate complex technical findings to non-technical audiences; present actionable insights to business leaders.Apply deep financial services expertise to ensure models meet regulatory expectations (e.g., model documentation, audit, transparency, fairness).Optimize workflows for performance and cost efficiency within Databricks and cloud environments.Design experiments and evaluate model performance using best practices in ML Ops, version control, and reproducibility.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":"Portland","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Bachelor?s or Master?s degree in Data Science, Computer Science, Statistics, Math, Engineering, or related field.3+ years of experience as a Data Scientist, preferably within banks, credit unions, fintech, or other financial institutions.Hands-on experience with Databricks, Apache Spark, and cloud ecosystems (Azure, AWS, or GCP).Strong proficiency in Python, SQL, and common ML frameworks (scikit-learn, PyTorch, TensorFlow, etc.).Deep understanding of financial data structures, regulatory requirements, and industry workflows.Experience building, deploying, and monitoring machine learning models in production environments.Ability to translate business problems into data-driven solutions with measurable impact.","Skills":"Experience with ML Ops tools (MLflow, Azure DevOps, Databricks Repos, CI/CD pipelines).Familiarity with risk scoring, fraud detection, AML/KYC analytics, credit modeling, or customer segmentation.Knowledge of distributed systems, big data engineering, and scalable architecture design.Strong communication and stakeholder management skills in financial environments.","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":50.0000,"SalaryLow":40.0000,"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)\/"}
JDevelop, deploy, and maintain scalable machine learning models and analytical workflows using Databricks, Apache Spark, and cloud-based data platforms.Partner with financial domain stakeholders to... understand business challenges related to risk, compliance, fraud, lending, investments, and customer analytics.Perform hands-on data exploration, feature engineering, statistical analysis, and modeling using Python, SQL, and Spark.Collaborate with data engineering teams to build reliable data pipelines and ensure high-quality, production-ready datasets.Communicate complex technical findings to non-technical audiences; present actionable insights to business leaders.Apply deep financial services expertise to ensure models meet regulatory expectations (e.g., model documentation, audit, transparency, fairness).Optimize workflows for performance and cost efficiency within Databricks and cloud environments.Design experiments and evaluate model performance using best practices in ML Ops, version control, and reproducibility.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Mar 25, 2026
Greenwood Village, CO
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Data Warehousing
|
Contract-to-perm
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$61 - $76 (hourly estimate)
{"JobID":511063,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-104.99,"Longitude":39.64,"Distance":null},"State":"Colorado","Zip":"80111","ReferenceID":"DEN-79ee5045-9b16-4a66-b33c-c68689265156","PostedDate":"\/Date(1774466743000)\/","Description":"A client of Insight Global is seeking a senior-level Data Scientist with deep expertise in Python-based analytics, machine learning, and large-scale data systems to design, develop, and productionize end-to-end machine learning solutions. This role is responsible for translating complex business problems into scalable analytics use cases; building, testing, and deploying advanced ML models; developing model scoring code; working with large batch and streaming datasets; partnering with data engineering, platform, and DevOps teams to integrate solutions via CI/CD pipelines; contributing to data architecture decisions involving data warehouses and marts; applying strong logical, mathematical, and analytical reasoning to model evaluation and data quality; synthesizing results into clear insights; communicating recommendations to technical and non-technical stakeholders; mentoring others; and continuously expanding technical skills in evolving analytics and ML technologies.This position will be a hybrid role- 3 days a week onsite in Greenwood Village CO and will pay between $50-65 per hour.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Senior Data Scientist","City":"Greenwood Village","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Expert-level Python for advanced analytics and ML (NumPy, Pandas, scikit-learn, etc.)Strong understanding of ML model families (regression, decision trees and ensemble methods, clustering, SVMs, neural networks)Strong foundation in probability, statistics, calculus, and ability to learn additional advanced math conceptsBig data experience (Spark, Hadoop, streaming platforms)Strong SQLExperience with ETL / data pipelinesCloud experience (AWS preferred; GCP/Azure acceptable)CI/CD pipeline experienceProven experience deploying and supporting models in productionBash / Shell scripting","Skills":"Scala (especially with Spark)Streaming data platformsEnterprise or regulated-environment experience","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":76.0000,"SalaryLow":60.8000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
A client of Insight Global is seeking a senior-level Data Scientist with deep expertise in Python-based analytics, machine learning, and large-scale data systems to design, develop, and productionize... end-to-end machine learning solutions. This role is responsible for translating complex business problems into scalable analytics use cases; building, testing, and deploying advanced ML models; developing model scoring code; working with large batch and streaming datasets; partnering with data engineering, platform, and DevOps teams to integrate solutions via CI/CD pipelines; contributing to data architecture decisions involving data warehouses and marts; applying strong logical, mathematical, and analytical reasoning to model evaluation and data quality; synthesizing results into clear insights; communicating recommendations to technical and non-technical stakeholders; mentoring others; and continuously expanding technical skills in evolving analytics and ML technologies.This position will be a hybrid role- 3 days a week onsite in Greenwood Village CO and will pay between $50-65 per hour.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Apr 21, 2026
Melvindale, MI
|
Accounting
|
Contract
|
$32 - $40 (hourly estimate)
{"JobID":521206,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-83.17,"Longitude":42.28,"Distance":null},"State":"Michigan","Zip":"48122","ReferenceID":"MIC-865264d1-20d2-41a0-a592-0e7c18859283","PostedDate":"\/Date(1776781413000)\/","Description":"This Data Scientist supports DTE?s Gas Leak Management team by pulling data from Picarro and other enterprise systems, analyzing leak and spend data, and building Power BI dashboards that drive operational efficiency, regulatory reporting, and capital planning decisions.Compensation $40/hrExact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Scientist","City":"Melvindale","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Bachelor?s degree in a quantitative field (Statistics, Computer Science, Engineering, Mathematics, Data Science) OR 3+ years of experience in a data analytics, data science, or programming role?Strong experience performing advanced data analysis, including cost benefit analysis, forecasting, predictive modeling, what if analysis, and impact analysis?Strong understanding of Power BI data models, data extraction, and dashboard intelligence?Eager to learn and grow in a data driven environment!!?Strong communication skills with the ability to clearly and concisely relay findings to field supervisors and business partners?THIS TEAM IS LOOKING FOR A CULTURE FIT","Skills":"?Experience collaborating with cross functional stakeholders to gather requirements and deliver end to end analytical solutions?Strong communication skills with the ability to present analytical insights clearly to both technical and non technical audiences?Strong understanding of Power BI data models, data extraction, and dashboard intelligence","Industry":"Accounting","Country":"US","Division":"AF\u0026E","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":40.0000,"SalaryLow":32.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
This Data Scientist supports DTE?s Gas Leak Management team by pulling data from Picarro and other enterprise systems, analyzing leak and spend data, and building Power BI dashboards that drive... operational efficiency, regulatory reporting, and capital planning decisions.Compensation $40/hrExact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Mar 31, 2026
Juno Beach, FL
|
Data Warehousing
|
Contract
|
$36 - $45 (hourly estimate)
{"JobID":513317,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-80.08,"Longitude":26.81,"Distance":null},"State":"Florida","Zip":"33408","ReferenceID":"FTL-2a450a23-fdb5-4891-9125-017e6a82d12a","PostedDate":"\/Date(1774987476000)\/","Description":"Insight Global is seeking a Principal Data Scientist ? Load \u0026 Renewable Generation Forecasting for a top energy and utilities client. This individual will lead the design, development, and deployment of advanced forecasting models supporting load, solar, and wind generation across mission-critical operations. The role blends deep data science expertise with real-world operational impact?working closely with trading, system operations, and engineering teams to deliver highly accurate, production-ready forecasting solutions. The ideal candidate thrives in complex environments, takes full ownership of the model lifecycle, and is passionate about building scalable systems that directly influence real-time energy decisions.?Lead end-to-end development of load, solar, and wind forecasting models?Design, deploy, and maintain production-grade forecasting systems?Build automated retraining, evaluation, and performance monitoring frameworks?Integrate weather and operational data via APIs and internal data warehouses?Develop scalable pipelines for real-time and batch forecasting?Partner closely with trading, system operations, and engineering teams?Create interactive dashboards to communicate forecasts and insights?Ensure forecasting solutions meet strict accuracy and operational deadlinespay rate: $45-$60/hrWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Principal Data Scientist","City":"Juno Beach","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Advanced Python expertise (pandas, numpy, scikit-learn, statsmodels)?Strong background in time-series forecasting (ARIMA, SARIMAX, gradient boosting models)?Proven experience taking models from development to production?Experience integrating weather APIs and external data sources?Hands-on experience with AWS (EC2, S3, Lambda, SageMaker)?Strong SQL skills and experience querying large datasets?Experience building production monitoring, versioning, and retraining pipelines?Excellent communication skills with both technical and non-technical stakeholders","Skills":"?Energy markets, load forecasting, or renewable generation domain experience?Probabilistic forecasting and uncertainty quantification?Advanced feature engineering with weather and domain-specific signals?Experience with Streamlit, Plotly, or similar dashboarding tools?Agile/Scrum experience (Jira, Confluence)?Infrastructure-as-Code experience","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":45.0000,"SalaryLow":36.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
Insight Global is seeking a Principal Data Scientist ? Load & Renewable Generation Forecasting for a top energy and utilities client. This individual will lead the design, development, and deployment... of advanced forecasting models supporting load, solar, and wind generation across mission-critical operations. The role blends deep data science expertise with real-world operational impact?working closely with trading, system operations, and engineering teams to deliver highly accurate, production-ready forecasting solutions. The ideal candidate thrives in complex environments, takes full ownership of the model lifecycle, and is passionate about building scalable systems that directly influence real-time energy decisions.?Lead end-to-end development of load, solar, and wind forecasting models?Design, deploy, and maintain production-grade forecasting systems?Build automated retraining, evaluation, and performance monitoring frameworks?Integrate weather and operational data via APIs and internal data warehouses?Develop scalable pipelines for real-time and batch forecasting?Partner closely with trading, system operations, and engineering teams?Create interactive dashboards to communicate forecasts and insights?Ensure forecasting solutions meet strict accuracy and operational deadlinespay rate: $45-$60/hrWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Mar 23, 2026
Maryland Heights, MO
|
Data Warehousing
|
Contract,Perm Possible
|
$61 - $76 (hourly estimate)
{"JobID":509733,"JobType":["Contract,Perm Possible"],"EmployerID":null,"Location":{"Latitude":-90.47,"Longitude":38.72,"Distance":null},"State":"Missouri","Zip":"63043","ReferenceID":"STL-1021feeb-0b78-428c-87ea-1d8948bffd45","PostedDate":"\/Date(1774284377000)\/","Description":"Insight Global is looking to add a Senior Data Scientist to their Telecommunications client. We are looking for an individual with strong, hands-on experience designing, building, training, and implementing AI/ML models in production environments. This role requires hands on experience in AI and machine learning, deep Python expertise, and extensive use of AWS (including AWS Bedrock) and GCP. The ideal candidate has a strong database background (Oracle, SQL, MongoDB) or experience working with infrastructure operating systems, and has served as a technical lead on AI initiatives. This individual must be able to clearly explain prior use cases, methodologies, tools selected, and whether solutions were successfully implemented, while adapting quickly to the rapidly evolving AI landscape.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Sr Data Scientist","City":"Maryland Heights","ExpirationDate":null,"PriorityOrder":0,"Requirements":"10 years of hands-on experience in AI and machine learning developmentBachelor?s degree in Data Science, Computer Science, or a related fieldProven experience architecting, designing, coding, training, and implementing ML models in productionStrong Python programming experienceHands-on experience with AWS (including AWS Bedrock) and cloud-based ML solutionsExperience with monitoring and dashboarding tools such as Prometheus and GrafanaDatabase experience with Oracle, SQL, and MongoDB or background working with infrastructure operating systemsExperience leading or owning AI/ML projects end to end","Skills":"- AWS, GCP, or similar certification","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":76.0000,"SalaryLow":60.8000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
Insight Global is looking to add a Senior Data Scientist to their Telecommunications client. We are looking for an individual with strong, hands-on experience designing, building, training, and... implementing AI/ML models in production environments. This role requires hands on experience in AI and machine learning, deep Python expertise, and extensive use of AWS (including AWS Bedrock) and GCP. The ideal candidate has a strong database background (Oracle, SQL, MongoDB) or experience working with infrastructure operating systems, and has served as a technical lead on AI initiatives. This individual must be able to clearly explain prior use cases, methodologies, tools selected, and whether solutions were successfully implemented, while adapting quickly to the rapidly evolving AI landscape.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Mar 27, 2026
Atlanta, GA
|
Architect
|
Contract
|
$68 - $85 (hourly estimate)
{"JobID":511869,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-84.37,"Longitude":33.77,"Distance":null},"State":"Georgia","Zip":"30308","ReferenceID":"BIR-09ec175d-ec1a-4a68-982f-0a0730f79070","PostedDate":"\/Date(1774576875000)\/","Description":"Synthesize.ai ? Technical Requirements Document (External Vendor Version)1. Project OverviewSynthesize.ai is Southern Company?s advanced analytics and machine-learning platform designed to improve the quality, continuity, and analytical usefulness of AMI interval data across APC, GPC, and MPC. The platform will use AI/ML to perform data gap-fill, usage reconstruction, and short-term/long-term forecasting, and enable downstream analytics.The primary objective for this vendor engagement is to deliver a production-grade, scalable, accurate ML-based gap-fill and forecasting engine that can be integrated into Southern Company\u0027s data ecosystem.2. Scope of Work2.1 Core Functional RequirementsA. Data Gap-Fill EngineDevelop or extend models that can:? Fill missing AMI interval data at 15-minute and hourly resolutions? Handle short gaps (\u003c2 hours) and long gaps (1?72 hours) with model-based reconstruction. ? Produce reconstruction confidence scores for each interval.? Incorporate:o Weather (temperature, humidity, solar irradiance)o Calendar effects (weekday/weekend, season)o Outage periods (explicitly excluding outage windows from prediction) B. Predictive Usage Modeling? Short-term usage prediction (next 24?48 hours)? Longer-horizon predictions (up to 7?14 days)? Ability to run inference on millions of meter records across all OpCos C. MLOps and Deployment? Run natively on Databricks within Southern Company?s secure cloud (no external hosting). ? Provide automated pipelines for:o Trainingo Batch inferenceo Monitoring and accuracy drift detection? Deliver source code, notebooks, CI/CD scripts, and documentation.3. Data Inputs \u0026 Volumes3.1 Data Sources? AMI interval data ? Weather feeds ? Outage metadata? Billing calendar markers (not used for billing VEE; for analytics only) 3.2 Data Characteristics? 96 intervals/day per meter (15-min)? Multi-year historical availability (1?3 years)? High presence of gaps, including consecutive missing intervals4. Performance Requirements4.1 Model(s) AccuracyMeasurable model KPIs for:? MAE / RMSE for filled intervals? Gap-fill bias (interval-level and daily aggregated)? Performance across:o 15-minute kWho Hourly kWho Golden meters (consecutive gap conditions)o Non-gold meters (random missing intervals) 4.2 ScalabilityModel(s) must:? Process 4.4M meters (15-min resolution) in batch production cycles ? Support parallelization / Spark-based architecture4.3 Operational Expectations? Runtime targets defined for daily and weekly pipelines? Monitoring hooks for:o Model drifto Data Anomalieso Input/outage alignment issues5. Deliverables1. ML Models \u0026 Codebaseo Gap-fill models (primary deliverable)o Forecasting modelso Modular architecture for future extensions2. Documentationo Model(s) documentationo Data dictionarieso Deployment runbooks3. MLOps Pipelineso Orchestrated Databricks jobso Git-based CI/CD workflows4. Dashboards / Visual QA Toolso before/after gap-fill visualizationso overlay and comparison tools5. Training \u0026 Knowledge Transfero Sessions for AMI Data Science teamo Code walkthroughso Handover documentation6. Non-Functional Requirements6.1 Security? All work must remain within Southern Company?s cloud environment ? No external data movement permitted6.2 Governance? Conform to Southern Company metadata, tagging, and logging standards? Models must not be used for billing (analytics-only) 6.3 Vendor Collaboration Expectations? Weekly progress meetings with Solomon, Joyce S. and project team ? Transparent issue escalation? Ability to collaborate using Jira (AMI team instance)? PM is already instated? 1 Data Scientist from AMI DSA will work in this project7. Evaluation Criteria for Vendors? Technical strength and ML methodology? Scalability and cloud architecture alignment? Experience with utility AMI datasets? Clarity of proposed MLOps approach? Documentation quality? Speed to delivery? Total cost and licensing structureWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Scientist","City":"Atlanta","ExpirationDate":null,"PriorityOrder":0,"Requirements":"3-5 years of experience as a data scientist (or similar title)3+ years of experience using AI/ML Strong Python programming experienceUnderstanding/Experience within AMI data Background within a utility Experience with LLM (large language model)Ability to deliver source code, notebooks, CI/CD scripts, and documentation","Skills":"Databricks","Industry":"Architect","Country":"US","Division":"AF\u0026E","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":85.0000,"SalaryLow":68.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
Synthesize.ai ? Technical Requirements Document (External Vendor Version)1. Project OverviewSynthesize.ai is Southern Company?s advanced analytics and machine-learning platform designed to improve... the quality, continuity, and analytical usefulness of AMI interval data across APC, GPC, and MPC. The platform will use AI/ML to perform data gap-fill, usage reconstruction, and short-term/long-term forecasting, and enable downstream analytics.The primary objective for this vendor engagement is to deliver a production-grade, scalable, accurate ML-based gap-fill and forecasting engine that can be integrated into Southern Company's data ecosystem.2. Scope of Work2.1 Core Functional RequirementsA. Data Gap-Fill EngineDevelop or extend models that can:? Fill missing AMI interval data at 15-minute and hourly resolutions? Handle short gaps (<2 hours) and long gaps (1?72 hours) with model-based reconstruction. ? Produce reconstruction confidence scores for each interval.? Incorporate:o Weather (temperature, humidity, solar irradiance)o Calendar effects (weekday/weekend, season)o Outage periods (explicitly excluding outage windows from prediction) B. Predictive Usage Modeling? Short-term usage prediction (next 24?48 hours)? Longer-horizon predictions (up to 7?14 days)? Ability to run inference on millions of meter records across all OpCos C. MLOps and Deployment? Run natively on Databricks within Southern Company?s secure cloud (no external hosting). ? Provide automated pipelines for:o Trainingo Batch inferenceo Monitoring and accuracy drift detection? Deliver source code, notebooks, CI/CD scripts, and documentation.3. Data Inputs & Volumes3.1 Data Sources? AMI interval data ? Weather feeds ? Outage metadata? Billing calendar markers (not used for billing VEE; for analytics only) 3.2 Data Characteristics? 96 intervals/day per meter (15-min)? Multi-year historical availability (1?3 years)? High presence of gaps, including consecutive missing intervals4. Performance Requirements4.1 Model(s) AccuracyMeasurable model KPIs for:? MAE / RMSE for filled intervals? Gap-fill bias (interval-level and daily aggregated)? Performance across:o 15-minute kWho Hourly kWho Golden meters (consecutive gap conditions)o Non-gold meters (random missing intervals) 4.2 ScalabilityModel(s) must:? Process 4.4M meters (15-min resolution) in batch production cycles ? Support parallelization / Spark-based architecture4.3 Operational Expectations? Runtime targets defined for daily and weekly pipelines? Monitoring hooks for:o Model drifto Data Anomalieso Input/outage alignment issues5. Deliverables1. ML Models & Codebaseo Gap-fill models (primary deliverable)o Forecasting modelso Modular architecture for future extensions2. Documentationo Model(s) documentationo Data dictionarieso Deployment runbooks3. MLOps Pipelineso Orchestrated Databricks jobso Git-based CI/CD workflows4. Dashboards / Visual QA Toolso before/after gap-fill visualizationso overlay and comparison tools5. Training & Knowledge Transfero Sessions for AMI Data Science teamo Code walkthroughso Handover documentation6. Non-Functional Requirements6.1 Security? All work must remain within Southern Company?s cloud environment ? No external data movement permitted6.2 Governance? Conform to Southern Company metadata, tagging, and logging standards? Models must not be used for billing (analytics-only) 6.3 Vendor Collaboration Expectations? Weekly progress meetings with Solomon, Joyce S. and project team ? Transparent issue escalation? Ability to collaborate using Jira (AMI team instance)? PM is already instated? 1 Data Scientist from AMI DSA will work in this project7. Evaluation Criteria for Vendors? Technical strength and ML methodology? Scalability and cloud architecture alignment? Experience with utility AMI datasets? Clarity of proposed MLOps approach? Documentation quality? Speed to delivery? Total cost and licensing structureWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Jun 05, 2026
Chicago, IL
|
Data Warehousing
|
Contract
|
$60 - $75 (hourly estimate)
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We are seeking an exceptionally talented, highly inquisitive, and execution-oriented Principal Data Scientist & AI Innovation Consultant to drive innovative, high-impact analytical and data science... initiatives across our client's Clinical Data Science organization.We are seeking an exceptionally talented, highly inquisitive, and execution-oriented Principal Data Scientist & AI Innovation Consultant to drive innovative, high-impact analytical and data science initiatives across our client's Clinical Data Science organization. This role is designed for a senior-level technical expert and researcher with deep expertise in advanced machine learning, analytics, and applied data science. The ideal candidate will have experience with modern AI approaches, including large language models (LLMs), generative AI, agentic AI frameworks, and applied AI solution design within complex healthcare environments. Experience applying these tools alongside causal inference methodologies is required; experience in causal discovery is a plus.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 29, 2026
Newark, NJ
|
Computer Engineering
|
Contract-to-perm
|
$43 - $54 (hourly estimate)
{"JobID":524820,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-74.1735,"Longitude":40.7334,"Distance":null},"State":"New Jersey","Zip":"07102","ReferenceID":"NNJ-231c1b26-874f-4006-9685-28ad77068dfd","PostedDate":"\/Date(1777496668000)\/","Description":"Our client is seeking a Data Scientist to support the Group Insurance organization, with a focus on traditional machine learning use cases for medical and financial underwriting. This role is hands-on and data-driven, partnering closely with actuaries and technology teams to develop and support predictive models used in underwriting and pricing.Responsibilities- Develop and apply traditional machine learning models (classification, survival models) for underwriting and pricing use cases- Perform data extraction, cleaning, validation, and feature engineering on large datasets- Analyze data quality issues and assemble usable analytical datasets from multiple sources- Build and evaluate models using Python in an AWS cloud environment- Partner with actuaries, IT, and ML engineering teams to support model deployment and testing- Assist with troubleshooting, validation support, and research for failed test casesWe 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":"- 3+ years of experience in data science, applied statistics, or machine learning- Strong proficiency in Python (NumPy, Pandas, scikit-learn, seaborn)- Solid SQL skills for working with large databases- Strong understanding of statistical and machine learning principles- Experience building classification models; survival modeling experience strongly preferred- Ability to communicate effectively with non-data science stakeholders- Master?s degree (PhD a plus; Bachelor?s considered with strong relevant experience)","Skills":"- Experience working in AWS (e.g., S3, SageMaker notebooks)- Exposure to insurance, underwriting, actuarial, or risk modeling domains- Familiarity with software deployment or DevOps concepts (nice to have, not required)","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)\/"}
Our client is seeking a Data Scientist to support the Group Insurance organization, with a focus on traditional machine learning use cases for medical and financial underwriting. This role is... hands-on and data-driven, partnering closely with actuaries and technology teams to develop and support predictive models used in underwriting and pricing.Responsibilities- Develop and apply traditional machine learning models (classification, survival models) for underwriting and pricing use cases- Perform data extraction, cleaning, validation, and feature engineering on large datasets- Analyze data quality issues and assemble usable analytical datasets from multiple sources- Build and evaluate models using Python in an AWS cloud environment- Partner with actuaries, IT, and ML engineering teams to support model deployment and testing- Assist with troubleshooting, validation support, and research for failed test casesWe 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/.