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May 29, 2026

Windsor Mill, MD

|

Database Administrator (DBA)

|

Contract

|

$68 - $85 (hourly estimate)

{"JobID":535437,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-76.78,"Longitude":39.33,"Distance":null},"State":"Maryland","Zip":"21244","ReferenceID":"DC0-58005c0f-ec94-483a-8554-b17d2fdf9464","PostedDate":"\/Date(1780058504000)\/","Description":"? Hands on experience in Python, NLP frameworks, SQL, Pandas, NLTK, SPACy and LLMs? Well versed in SQL and analyzing trends and transactional data.? Understand real world challenges and develop automated data solutions? Develop, test, and deploy new techniques for NLP understanding? Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs)? Train and optimize NLP/LLM models and create Python based pipelines? Experience building cloud native solutions on AWS? Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.? Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem.? Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems.Provide accurate, timely, complex, and sophisticated data analysis.Pay range for this position is $80/hr - $100/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":"Onsite Senior Data Scientist","City":"Windsor Mill","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? Bachelor?s degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on Python, NLP frameworks, SQL, Pandas, NLTK and SPACy, data science, and AI/ML/LLM engineering.? Overall 10+ years? experience in IT industry? Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.? Experience with Generative AI and Large Language Models (LLM)? Evidence of true self-starter and operating independently.? Fluency in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas, numpy, matplotlib) and ML frameworks? Knowledge of TensorFlow, PyTorch, Pandas, scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.? Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and/or experience with semantic search.? Expert knowledge in conducting data analysis and applying advanced statistical concepts and ML methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models.? Experience with ML model deployment and operations like DevOps, MLOps, LLMOps.? Experience with NLP and Generative AI libraries like regular expressions (e.g., spacy, langchain), text annotation tools and semantic frameworks.? Ability to clean and process large amounts of real-world data.? Experience retrieving and manipulating data from a variety of data sources included DB2, Oracle, SQL Server, Hadoop and flat files.? Excellent Communication skills.? Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.)? Excellent analytical skills to identify potential risks and propose effective solutions.Excellent problem-solving skills, ability to collaborate with cross-functional teams and proven communication in written and verbal formats to various audiences to include executive leadership.","Skills":"? Prior experience with federal or state governments IT projects.? Industry experience preferred? Experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hive.? Experience working in an analytical research environment.? Experience in parallel processing such as GPU programming with CUDA? Experience with Mathematica? Experience using markup languages such as LaTeX, HTML, etc.Experience with Natural Language Processing for anomaly detection","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":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)\/"}

? Hands on experience in Python, NLP frameworks, SQL, Pandas, NLTK, SPACy and LLMs? Well versed in SQL and analyzing trends and transactional data.? Understand real world challenges and develop... automated data solutions? Develop, test, and deploy new techniques for NLP understanding? Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs)? Train and optimize NLP/LLM models and create Python based pipelines? Experience building cloud native solutions on AWS? Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.? Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem.? Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems.Provide accurate, timely, complex, and sophisticated data analysis.Pay range for this position is $80/hr - $100/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/.

May 06, 2026

Alpharetta, GA

|

Programmer / Developer

|

Contract

|

$56 - $70 (hourly estimate)

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Therefore, previous experience defining requirements is essential, along with excellent communication skills. The successful candidate will be a self-starter, willing to learn new things and have a positive attitude and experience with creating reports. An example of a key initiative is to use AI to answers the question ?Does training and coaching work? and if so ?Which training and coaching is most effective? and ?which people receive the biggest benefit from the coaching/training/development??- Creating dashboards \u0026 working with a variety of internal customers - Able to generate Complex reports and Visualizations to answer questions with accuracy - Knowledge of SQL queries, SQL Server Reporting Services (SSRS), Power BI Report Server, Embedded Power BI - Good knowledge of database structures, data modeling concepts, principles and practices - Proven analytical and problem-solving skills - Ability to work independently and on multiple tasks/initiatives with multiple deadlines - Effective oral, presentation, and written communication skillsWe 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 \u0026 statistics","City":"Alpharetta","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- Statistical education or degree. Or relevant Statistic experience like correlations and regressions, etc.- Data Science experience- ETL experience with SQL Queries to pull own data from SQL Server and Snowflake.- Excellent Statistics knowledge - to do real analysis of the data and present it in an actionable way.- Strong Advanced Analytics experience ? like Correlation, Regression, Distributional (percentiles), Subgroup Analysis, Propensity Score Matching, Time Series/Trend.- Experience with Python and R for advanced analytics- SQL Server experience - Experience with SQL - stores procedures, functions, dynamic SQL, triggers and SSIS - ETL experience on Snowflake - Ability to build, schedule, automate PowerBI reports - BI experience with Data Abstraction - Experience pulling source data with complex SQL queries - Great troubleshooting skills - Experience working in an agile environment - Experience writing up defects and test cases - Experience supporting customers - Excellent spoken and written communications - Critical thinker and problem-solving skills - Team player","Skills":"- Former consulting experience - Former AT\u0026T experience- Experience with Machine Learning or AI- Degree in Statistics- Plus is Power BI reporting experience with DAX (Data Analysis Expressions, is a formula expression language used in Power BI, Power Pivot, and Analysis Services to create calculated columns, measures, and other data analysis functions. It is a collection of functions, operators, and constants that can be combined to build formulas for dynamic calculations and analysis within your data models. You can use DAX to perform calculations, filter data, and add logic to your reports and dashboards.)Compensation:$55/hr to $70/hr.Exact compensation may vary based on several factors, including skills, experience, and education.Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.","Industry":"Programmer / Developer","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":70.0000,"SalaryLow":56.0000,"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)\/"}

Our client in the Atlanta and Alpharetta, GA market is seeking a candidate to join the team in the office, 3 days a week in Data Science and Statistics role.additionally work may include Business... Intelligence (PBI) report writer who is used to working on a small team and wearing many hats for a critical role supporting an internal product. In this role, you will be dedicated to taking high level ideas/design and communicate directly with stakeholders to get detailed requirements. You will not work off a document, but you will need to understand the business problem, make recommendations, create a proof of concept and offer a solution. Therefore, previous experience defining requirements is essential, along with excellent communication skills. The successful candidate will be a self-starter, willing to learn new things and have a positive attitude and experience with creating reports. An example of a key initiative is to use AI to answers the question ?Does training and coaching work? and if so ?Which training and coaching is most effective? and ?which people receive the biggest benefit from the coaching/training/development??- Creating dashboards & working with a variety of internal customers - Able to generate Complex reports and Visualizations to answer questions with accuracy - Knowledge of SQL queries, SQL Server Reporting Services (SSRS), Power BI Report Server, Embedded Power BI - Good knowledge of database structures, data modeling concepts, principles and practices - Proven analytical and problem-solving skills - Ability to work independently and on multiple tasks/initiatives with multiple deadlines - Effective oral, presentation, and written communication skillsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 17, 2026

Quincy, MA

|

Computer Engineering

|

Contract

|

$48 - $60 (hourly estimate)

{"JobID":520138,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-71.0142,"Longitude":42.2404,"Distance":null},"State":"Massachusetts","Zip":"02169","ReferenceID":"BOS-d37f7fa2-a9b5-41c2-8fe5-bd8ed5cb2c88","PostedDate":"\/Date(1776435845000)\/","Description":"As a Senior Data Scientist, you?ll play a key role in designing and scaling advanced machine learning and AI solutions that drive personalization, recommendations, and intelligent automation across ADUSA?s digital platforms. You?ll collaborate closely with Machine Learning Engineers, Data Engineers, and Data Science Leads to turn data into business impact developing robust models, optimizing pipelines, and delivering measurable results that improve customer engagement and operational efficiency. Key Responsibilities? Build, test, and deploy recommendations, personalization, and predictive models that power digital experiences across banners.? Develop end-to-end ML pipelines from data preparation and feature engineering to model training, evaluation, and production inference.? Leverage Hugging Face Transformers, embedding models, and semantic search techniques to enhance product relevance and contextual understanding.? Explore generative AI and retrieval-augmented generation (RAG) approaches for product matching, search, and personalization.? Collaborate with MLEs to productionize models and ensure scalable, monitored, and retrainable ML systems.? Partner with Data Engineers to design efficient data flows and maintain clean, versioned datasets for model consumption.? Work with Data Science Leads and business stakeholders to define success metrics, design A/B experiments, and translate insights into data-driven actions.? Contribute to shared best practices, documentation, and continuous improvement of ADUSA?s advanced analytics ecosystem.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Sr. Data Scientist","City":"Quincy","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? Proficiency in Python, PySpark, and Databricks for large-scale data processing and ML development.? Strong experience with scikit-learn, PyTorch, TensorFlow, and Hugging Face libraries.? Proven background in recommendation systems, semantic search, or customer personalization models.? Experience in feature engineering, EDA, model evaluation, and MLOps workflows.? Familiarity with A/B testing frameworks and model observability practices.? Strong collaboration and communication skills to work effectively.","Skills":"*We do not want someone with a PhD for this!","Industry":"Computer Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":60.0000,"SalaryLow":48.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

As a Senior Data Scientist, you?ll play a key role in designing and scaling advanced machine learning and AI solutions that drive personalization, recommendations, and intelligent automation across... ADUSA?s digital platforms. You?ll collaborate closely with Machine Learning Engineers, Data Engineers, and Data Science Leads to turn data into business impact developing robust models, optimizing pipelines, and delivering measurable results that improve customer engagement and operational efficiency. Key Responsibilities? Build, test, and deploy recommendations, personalization, and predictive models that power digital experiences across banners.? Develop end-to-end ML pipelines from data preparation and feature engineering to model training, evaluation, and production inference.? Leverage Hugging Face Transformers, embedding models, and semantic search techniques to enhance product relevance and contextual understanding.? Explore generative AI and retrieval-augmented generation (RAG) approaches for product matching, search, and personalization.? Collaborate with MLEs to productionize models and ensure scalable, monitored, and retrainable ML systems.? Partner with Data Engineers to design efficient data flows and maintain clean, versioned datasets for model consumption.? Work with Data Science Leads and business stakeholders to define success metrics, design A/B experiments, and translate insights into data-driven actions.? Contribute to shared best practices, documentation, and continuous improvement of ADUSA?s advanced analytics ecosystem.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jun 10, 2026

Chicago, IL

|

Database Administrator (DBA)

|

Contract

|

$76 - $95 (hourly estimate)

{"JobID":539798,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-87.68,"Longitude":41.83,"Distance":null},"State":"Illinois","Zip":"60606","ReferenceID":"CHI-62b39ae2-f55e-4741-b14b-4fb635f7073a","PostedDate":"\/Date(1781093055000)\/","Description":"Translate business needs (e.g., risk management, claims, operations) into well-scoped data science solutions aligned to KPIsDesign, build, and deploy:Machine learning modelsOptimization modelsNLP solutions for claims/incident analysisDevelop models to:Predict incident escalation into claimsClassify claim severity and financial impactIdentify high-risk scenarios for proactive interventionPerform data profiling, cleansing, and feature engineering across structured and unstructured datasetsApply NLP techniques to extract insights from incident and claims narrativesBuild record linkage solutions to connect disparate datasetsCollaborate with cross-functional teams (Risk, Legal, Data Engineering, BI, Governance, MLOps)Validate, monitor, and continuously improve model performance (drift, retraining, scoring quality)Generate explainable outputs (risk drivers, model reasoning) for business stakeholdersDocument models, assumptions, methodologies, and governance considerationsPresent insights and recommendations clearly to both technical and non-technical stakeholdersStay current on advancements in AI/ML and integrate new approaches as appropriateMentor junior data scientists and contribute to team developmentWe 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":"Remote Sr. Data Scientist","City":"Chicago","ExpirationDate":null,"PriorityOrder":0,"Requirements":"5+ years of experience in data science, machine learning, or operations research (2+ years with PhD)Master?s degree in Computer Science, Statistics, Industrial Engineering, or related field (PhD preferred)Strong expertise in:Operations Research modeling (LP, IP, MIP) using tools such as CPLEX or GurobiMachine learning (supervised, unsupervised, deep learning)Feature engineering, model evaluation, and hyperparameter tuningAdvanced programming skills in Python, SQL, and SparkExperience with ML frameworks (e.g., Scikit-Learn, XGBoost, TensorFlow, PyTorch)Experience building and deploying models in cloud environments (AWS, Azure, or GCP) with large datasetsExperience with streaming data architecturesFamiliarity with Agile methodologies and DevOps/CI/CD conceptsStrong communication skills and ability to collaborate cross-functionallyExperience with:Data preparation, profiling, and modeling using structured and unstructured dataNLP/text processing for extracting insights from narrativesModel monitoring, validation, and performance tuning in production environmentsAbility to ensure ethical, compliant use of data (PII, governance, transparency)","Skills":"Experience in hospitality, travel, or service industry analytics use casesStrong understanding of data architecture and MLOps best practicesExperience translating complex analytics into measurable business impactExperience working with risk, claims, or incident data modelsKnowledge of:Record linkage methodologies (entity resolution without unique IDs)Explainability techniques (model interpretability, business-readable outputs)Passion for continuous learning and innovation in applied AI/ML","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":95.0000,"SalaryLow":76.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Translate business needs (e.g., risk management, claims, operations) into well-scoped data science solutions aligned to KPIsDesign, build, and deploy:Machine learning modelsOptimization modelsNLP... solutions for claims/incident analysisDevelop models to:Predict incident escalation into claimsClassify claim severity and financial impactIdentify high-risk scenarios for proactive interventionPerform data profiling, cleansing, and feature engineering across structured and unstructured datasetsApply NLP techniques to extract insights from incident and claims narrativesBuild record linkage solutions to connect disparate datasetsCollaborate with cross-functional teams (Risk, Legal, Data Engineering, BI, Governance, MLOps)Validate, monitor, and continuously improve model performance (drift, retraining, scoring quality)Generate explainable outputs (risk drivers, model reasoning) for business stakeholdersDocument models, assumptions, methodologies, and governance considerationsPresent insights and recommendations clearly to both technical and non-technical stakeholdersStay current on advancements in AI/ML and integrate new approaches as appropriateMentor junior data scientists and contribute to team developmentWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 18, 2026

Saint-Paul, MN

|

Data Warehousing

|

Contract-to-perm

|

$27 - $34 (hourly estimate)

{"JobID":508060,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-93.1,"Longitude":44.94,"Distance":null},"State":"Minnesota","Zip":"55102","ReferenceID":"MSP-220ff743-5f62-4b21-a561-49052d26de32","PostedDate":"\/Date(1773847231000)\/","Description":"We are seeking a Principal Data Scientist with strong expertise in classical machine learning, regression modeling, and statistical predictive analytics. This role is ideal for someone with a statistics-focused educational background (or similar quantitative discipline) who can independently drive model development, translate business needs into analytical solutions, and deliver impactful insights to stakeholders. You will work extensively with structured hospitality data to build features, develop predictive models, and support sales and service?focused use cases. This is a highly independent, creative role requiring strong communication, storytelling, and stakeholder partnership skills. Responsibilities include: Develop, test, and deploy classical machine learning models, with a core focus on regression-based predictive modeling. Prepare, clean, and transform structured data to build high quality features for modeling. Collaborate regularly with cross functional stakeholders to understand business goals, clarify requirements, and align analytical work with strategic needs. Own end to end development of sales and service?specific use cases, from discovery to deployment. Communicate complex analytical findings in a compelling, accessible way to both technical and non technical audiences. Explore and apply GenAI techniques as they enhance modeling, efficiency, and analysis workflows. Work independently to structure analytical approaches, evaluate methods, and recommend model driven solutions.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Senior Lead/Principal Data Scientist - INTL","City":"Saint-Paul","ExpirationDate":null,"PriorityOrder":0,"Requirements":"9+ years of experience as a Lead or Principal Data ScientistAbility to storytell with stakeholdersFormer experience being heavily involved in end to end stages (proof of concept to production)Strong foundation in classical machine learning (Classical ML), statistical modeling, and regression methods. Educational background in Statistics, Mathematics, Physics, Chemistry, Data Science, Computer Science, Engineering, or a related quantitative field. Strong experience with Snowflake Experience with GenAI concepts, tools, or applied use cases. Strong experience preparing, wrangling, and transforming structured datasets. Ability to work independently with minimal direction while managing multiple analytical workstreams. Excellent communication, data storytelling, and stakeholder management skills.","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":34.0000,"SalaryLow":27.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are seeking a Principal Data Scientist with strong expertise in classical machine learning, regression modeling, and statistical predictive analytics. This role is ideal for someone with a... statistics-focused educational background (or similar quantitative discipline) who can independently drive model development, translate business needs into analytical solutions, and deliver impactful insights to stakeholders. You will work extensively with structured hospitality data to build features, develop predictive models, and support sales and service?focused use cases. This is a highly independent, creative role requiring strong communication, storytelling, and stakeholder partnership skills. Responsibilities include: Develop, test, and deploy classical machine learning models, with a core focus on regression-based predictive modeling. Prepare, clean, and transform structured data to build high quality features for modeling. Collaborate regularly with cross functional stakeholders to understand business goals, clarify requirements, and align analytical work with strategic needs. Own end to end development of sales and service?specific use cases, from discovery to deployment. Communicate complex analytical findings in a compelling, accessible way to both technical and non technical audiences. Explore and apply GenAI techniques as they enhance modeling, efficiency, and analysis workflows. Work independently to structure analytical approaches, evaluate methods, and recommend model driven solutions.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 15, 2026

Saint-Paul, MN

|

Data Warehousing

|

Perm

|

$29k - $36k (estimate)

{"JobID":519487,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-93.1,"Longitude":44.94,"Distance":null},"State":"Minnesota","Zip":"55102","ReferenceID":"MSP-78bec63d-5b42-49aa-9313-e3cde3a48e31","PostedDate":"\/Date(1776293892000)\/","Description":"We are seeking a Principal Data Scientist with strong expertise in classical machine learning, regression modeling, and statistical predictive analytics. This role is ideal for someone with a statistics-focused educational background (or similar quantitative discipline) who can independently drive model development, translate business needs into analytical solutions, and deliver impactful insights to stakeholders. You will work extensively with structured hospitality data to build features, develop predictive models, and support sales and service?focused use cases. This is a highly independent, creative role requiring strong communication, storytelling, and stakeholder partnership skills. Responsibilities include: Develop, test, and deploy classical machine learning models, with a core focus on regression-based predictive modeling. Prepare, clean, and transform structured data to build high quality features for modeling. Collaborate regularly with cross functional stakeholders to understand business goals, clarify requirements, and align analytical work with strategic needs. Own end to end development of sales and service?specific use cases, from discovery to deployment. Communicate complex analytical findings in a compelling, accessible way to both technical and non technical audiences. Explore and apply GenAI techniques as they enhance modeling, efficiency, and analysis workflows. Work independently to structure analytical approaches, evaluate methods, and recommend model driven solutions.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Senior Lead/Principal Data Scientist - INTL","City":"Saint-Paul","ExpirationDate":null,"PriorityOrder":0,"Requirements":"9+ years of experience as a Lead or Principal Data ScientistAbility to storytell with stakeholdersFormer experience being heavily involved in end to end stages (proof of concept to production)Strong foundation in classical machine learning (Classical ML), statistical modeling, and regression methods. Educational background in Statistics, Mathematics, Physics, Chemistry, Data Science, Computer Science, Engineering, or a related quantitative field. Strong experience with Snowflake Experience with GenAI concepts, tools, or applied use cases. Strong experience preparing, wrangling, and transforming structured datasets. Ability to work independently with minimal direction while managing multiple analytical workstreams. Excellent communication, data storytelling, and stakeholder management skills.","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":36000.0000,"SalaryLow":28800.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are seeking a Principal Data Scientist with strong expertise in classical machine learning, regression modeling, and statistical predictive analytics. This role is ideal for someone with a... statistics-focused educational background (or similar quantitative discipline) who can independently drive model development, translate business needs into analytical solutions, and deliver impactful insights to stakeholders. You will work extensively with structured hospitality data to build features, develop predictive models, and support sales and service?focused use cases. This is a highly independent, creative role requiring strong communication, storytelling, and stakeholder partnership skills. Responsibilities include: Develop, test, and deploy classical machine learning models, with a core focus on regression-based predictive modeling. Prepare, clean, and transform structured data to build high quality features for modeling. Collaborate regularly with cross functional stakeholders to understand business goals, clarify requirements, and align analytical work with strategic needs. Own end to end development of sales and service?specific use cases, from discovery to deployment. Communicate complex analytical findings in a compelling, accessible way to both technical and non technical audiences. Explore and apply GenAI techniques as they enhance modeling, efficiency, and analysis workflows. Work independently to structure analytical approaches, evaluate methods, and recommend model driven solutions.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jun 02, 2026

Bentonville, AR

|

Software Engineering

|

Contract,Perm Possible

|

$48 - $60 (hourly estimate)

{"JobID":536808,"JobType":["Contract,Perm Possible"],"EmployerID":null,"Location":{"Latitude":-94.2,"Longitude":36.36,"Distance":null},"State":"Arkansas","Zip":"72712","ReferenceID":"BEN-99a1b4f9-1db9-4615-a171-c556b46f20d3","PostedDate":"\/Date(1780424591000)\/","Description":"We are seeking a Data Scientist to support large-scale transformation initiatives across supply chain and field operations platforms. This role will focus on building intelligent, data-driven systems that forecast demand, optimize planning, and improve real-time operational decisioning.You will work across use cases including supply chain planning (700+ annual remodels, 600+ suppliers, 32 warehouses) and field operations (work order forecasting, labor planning, dispatch scheduling, and routing optimization). This is an opportunity to help transition highly manual processes into automated, scalable, AI-enabled systems.Key Responsibilities?Develop forecasting models to predict demand (e.g., work orders, inventory needs, remodel requirements)?Build machine learning models to improve planning accuracy, efficiency, and operational outcomes?Design and apply optimization techniques for: oLabor planning and workforce allocationoDispatch scheduling and routingoInventory and supply chain decisioning?Analyze large datasets to identify trends, inefficiencies, and improvement opportunities?Partner with business stakeholders to translate problems into data-driven solutions?Support real-time or near real-time decisioning systems where applicable?Help automate manual workflows through scalable modeling and analytics solutionsWe 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 (AI/ML/OR)","City":"Bentonville","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Bachelor?s or Master?s degree in Data Science, Computer Science, Statistics, Operations Research, Applied Mathematics, or related field?4?8+ years of experience in data science, machine learning, or analytics?Strong experience with: oMachine Learning \u0026 forecasting techniques (time series, regression, predictive modeling)oPython (Pandas, scikit-learn, etc.) and SQLoWorking with large, complex datasets?Ability to translate business challenges into analytical and modeling solutions","Skills":"?Experience with optimization techniques (LP, MIP, routing, scheduling, or resource allocation)?Background in supply chain, logistics, retail, or field operations?Experience with real-time decision systems or operational analytics?Familiarity with Agentic AI or AI-driven decisioning systems?Experience deploying models in cloud environments (AWS, GCP, Azure)?Exposure to tools such as Gurobi, CPLEX, OR-Tools, or Pyomo?Strong communication skills with ability to influence cross-functional stakeholders","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":60.0000,"SalaryLow":48.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are seeking a Data Scientist to support large-scale transformation initiatives across supply chain and field operations platforms. This role will focus on building intelligent, data-driven systems... that forecast demand, optimize planning, and improve real-time operational decisioning.You will work across use cases including supply chain planning (700+ annual remodels, 600+ suppliers, 32 warehouses) and field operations (work order forecasting, labor planning, dispatch scheduling, and routing optimization). This is an opportunity to help transition highly manual processes into automated, scalable, AI-enabled systems.Key Responsibilities?Develop forecasting models to predict demand (e.g., work orders, inventory needs, remodel requirements)?Build machine learning models to improve planning accuracy, efficiency, and operational outcomes?Design and apply optimization techniques for: oLabor planning and workforce allocationoDispatch scheduling and routingoInventory and supply chain decisioning?Analyze large datasets to identify trends, inefficiencies, and improvement opportunities?Partner with business stakeholders to translate problems into data-driven solutions?Support real-time or near real-time decisioning systems where applicable?Help automate manual workflows through scalable modeling and analytics solutionsWe 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 28, 2026

Chicago, IL

|

Computer Engineering

|

Contract-to-perm

|

$52 - $65 (hourly estimate)

{"JobID":524020,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-87.68,"Longitude":41.83,"Distance":null},"State":"Illinois","Zip":"60606","ReferenceID":"CHI-e093fd36-ae85-4ad9-87cc-9e5b8c1727b2","PostedDate":"\/Date(1777390254000)\/","Description":"This individual will be embedded with United?s Analytics \u0026 Innovation teams and working alongside full-time employees on complex, multi-month to multi-year initiatives. Day to day, they will analyze massive, real-world datasets, develop and apply advanced statistical models, and partner closely with business leaders across areas like network planning, revenue management, loyalty, airport operations, and tech ops. The role emphasizes thoughtful problem framing, deep analytical rigor, and translating complex findings into practical, high-impact business decisions.Responsibilities? Develop and apply advanced statistical and multivariate models to complex business problems? Analyze large-scale, enterprise data to support strategic, operational, and financial decisions? Design analytical approaches, hypotheses, and validation strategies? Partner with cross-functional teams to ensure analytics align with real business needs? Communicate results through presentations, case discussions, and executive-ready storytellingSupport multiple concurrent long-term analytics initiatives as an embedded team memberWe 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 - Statistics","City":"Chicago","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Must Haves? PhD or ABD in Statistics or closely related quantitative field (math, OR, engineering, etc.)? Very strong foundation in statistical theory and advanced/multivariate methods? Experience working with large-scale, complex datasets? Ability to quickly learn and interpret the business meaning behind data? Hands-on experience applying statistics, forecasting, and ML-adjacent techniques? Experience with statistical tools and structured programming languages (R, Python, SAS, etc.)? Strong problem-solving approach and ability to explain analytical thinking clearly? Strong communication skills with both technical and non-technical stakeholders","Skills":"? Broader exposure across multiple statistical subfields? Some overlap with operations research or decision science? Deeper experience in machine learning or large-scale data science? Airline industry experience (not required, but speeds ramp-up)? Experience with Julia? Familiarity with optimization-adjacent analytics or OR concepts","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":65.0000,"SalaryLow":52.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

This individual will be embedded with United?s Analytics & Innovation teams and working alongside full-time employees on complex, multi-month to multi-year initiatives. Day to day, they will analyze... massive, real-world datasets, develop and apply advanced statistical models, and partner closely with business leaders across areas like network planning, revenue management, loyalty, airport operations, and tech ops. The role emphasizes thoughtful problem framing, deep analytical rigor, and translating complex findings into practical, high-impact business decisions.Responsibilities? Develop and apply advanced statistical and multivariate models to complex business problems? Analyze large-scale, enterprise data to support strategic, operational, and financial decisions? Design analytical approaches, hypotheses, and validation strategies? Partner with cross-functional teams to ensure analytics align with real business needs? Communicate results through presentations, case discussions, and executive-ready storytellingSupport multiple concurrent long-term analytics initiatives as an embedded team memberWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 17, 2026

Huntsville, AL

|

Database Administrator (DBA)

|

Contract-to-perm

|

$74 - $92 (hourly estimate)

{"JobID":520075,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-86.62,"Longitude":34.7,"Distance":null},"State":"Alabama","Zip":"35806","ReferenceID":"SDG-c0e1d5e1-0339-45f9-b812-e6910709ed78","PostedDate":"\/Date(1776399571000)\/","Description":"Insight Global is seeking a Senior Data Scientist / Engineer with a strong background in data infrastructure and large-scale data environments to support U.S. Space Command mission data initiatives.This role supports the definition, architecture, and engineering of a large-scale on-premises data environment designed to ingest, store, process, and distribute space domain data across multiple classification levels.The selected candidate will work closely with requirements engineers, system architects, and government stakeholders to define technical solutions for a mission-scale data platform supporting 30+ petabytes of data and scaling to 200?500 racks of compute, storage, and network infrastructure.This is not a traditional data science role. The position sits at the intersection of:Data engineeringData architectureInfrastructure engineeringSystems engineeringand will play a key role in shaping the technical direction, requirements development, and acquisition strategy for mission data systems.This role focuses on designing and supporting a large-scale data environment that will process and manage significant volumes of space domain data. The system is expected to scale to tens of petabytes of data and hundreds of infrastructure racks, supporting advanced analytics and mission operations.The ideal candidate has experience working with large data environments, distributed systems, or high-performance computing platforms, and understands how data platforms are designed from both a software and infrastructure perspective.This position offers the opportunity to support critical national security missions while working on complex, large-scale data and infrastructure challenges.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Secret SR Data Engineer/Scientist","City":"Huntsville","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-Bachelor?s degree in computer science, data science, engineering, or related quantitative field.- Active Secret Clearance-Minimum 7 years of progressive experience across both data engineering and data science disciplines, including expert proficiency in Python and Structured Query Language (SQL); demonstrated success designing Extract, Transform, Load/Extract, Load, Transform (ETL/ELT) pipelines; developing and deploying machine learning models; and working with big data technologies such as Apache Spark, Apache Airflow, or Apache Hadoop-Demonstrated knowledge of enterprise data architecture and storage hardware (e.g. Storage Area Networks (SAN), Network Attached Storage (NAS), and object storage), data center design principles, data governance practices, and understanding of space data characteristics, including experience with the National Space Intelligence Center (NSIC) Data Catalog-Develop architecture for large-scale data platforms supporting petabyte-scale storage and analytics workloads-Define infrastructure requirements including:Support planning for scalable environments r--aranging from 200?500 racks-Design distributed data environments including:Translate mission needs into technical system requirements and design artifacts-Support capacity planning, including threshold vs objective growth models-Assist with OTA, RFP, and acquisition planning activities-Evaluate vendor solutions and participate in technical reviews-Collaborate across cybersecurity, network, infrastructure, and mission teams-Support development of architecture documentation and engineering packages","Skills":"-Master?s degree or Doctor of Philosophy (PhD) in computer science, engineering, data science, or related field-Experience designing or supporting large-scale data environments (petabyte-scale)-Strong understanding of data center infrastructure and architecture-Experience with distributed data systems and high-performance computing (HPC) environments-Knowledge of data storage architectures (object storage, distributed systems)-Experience with data ingestion and large-scale analytics pipelines-Familiarity with DoD or Intelligence Community environments-Understanding of multi-classification or cross-domain architectures-Experience supporting technical requirements development and acquisition processes-Knowledge of data center and telecommunications standards (TIA-942, UFC guidance)","Industry":"Database Administrator (DBA)","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":92.0000,"SalaryLow":73.6000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is seeking a Senior Data Scientist / Engineer with a strong background in data infrastructure and large-scale data environments to support U.S. Space Command mission data... initiatives.This role supports the definition, architecture, and engineering of a large-scale on-premises data environment designed to ingest, store, process, and distribute space domain data across multiple classification levels.The selected candidate will work closely with requirements engineers, system architects, and government stakeholders to define technical solutions for a mission-scale data platform supporting 30+ petabytes of data and scaling to 200?500 racks of compute, storage, and network infrastructure.This is not a traditional data science role. The position sits at the intersection of:Data engineeringData architectureInfrastructure engineeringSystems engineeringand will play a key role in shaping the technical direction, requirements development, and acquisition strategy for mission data systems.This role focuses on designing and supporting a large-scale data environment that will process and manage significant volumes of space domain data. The system is expected to scale to tens of petabytes of data and hundreds of infrastructure racks, supporting advanced analytics and mission operations.The ideal candidate has experience working with large data environments, distributed systems, or high-performance computing platforms, and understands how data platforms are designed from both a software and infrastructure perspective.This position offers the opportunity to support critical national security missions while working on complex, large-scale data and infrastructure challenges.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Feb 09, 2026

San Ramon, CA

|

Database Administrator (DBA)

|

Contract

|

$52 - $65 (hourly estimate)

{"JobID":492091,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-121.99,"Longitude":37.78,"Distance":null},"State":"California","Zip":"94583","ReferenceID":"SFR-7fd38467-ef78-4454-97e2-72681dc324ac","PostedDate":"\/Date(1770612432000)\/","Description":"Insight Global Evergreen is seeking a talented Data Scientist to join our dynamic team and contribute to our data analytics and machine learning initiatives. You will be dedicated to leveraging data-driven insights to drive business growth and enhance customer experiences for one of our large utility clients in California. Key Responsibilities:?Data Analysis \u0026 Modeling: Utilize Python and R to analyze complex datasets, develop predictive models, and generate actionable insights.?Database Management: Manage and optimize data storage and retrieval using Snowflake, ensuring data integrity and performance.?Machine Learning: Design, implement, and evaluate machine learning algorithms to solve business problems.?Data Visualization: Create compelling visualizations to communicate findings to stakeholders using tools like Matplotlib, ggplot2, and other visualization libraries.?Collaboration: Work closely with cross-functional teams including data engineers, product managers, and business analysts to understand requirements and deliver solutions.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Specialist II (Data Scientist) - LPS","City":"San Ramon","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Bachelor\u0027s or Master\u0027s degree in Data Science, Computer Science, Statistics, or a related field.?Proven experience in data science roles, with a strong background in Python and R programming.?Proficiency in Snowflake for data warehousing and SQL for querying.?Advanced knowledge of Python and R ?Experience with machine learning frameworks and libraries.?Experience building models ?Data cleansing experience?Strong understanding of statistical methods and data analysis techniques.?Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment.","Skills":"?Azure experience ?Utility experience","Industry":"Database Administrator (DBA)","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":65.0000,"SalaryLow":52.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global Evergreen is seeking a talented Data Scientist to join our dynamic team and contribute to our data analytics and machine learning initiatives. You will be dedicated to leveraging... data-driven insights to drive business growth and enhance customer experiences for one of our large utility clients in California. Key Responsibilities:?Data Analysis & Modeling: Utilize Python and R to analyze complex datasets, develop predictive models, and generate actionable insights.?Database Management: Manage and optimize data storage and retrieval using Snowflake, ensuring data integrity and performance.?Machine Learning: Design, implement, and evaluate machine learning algorithms to solve business problems.?Data Visualization: Create compelling visualizations to communicate findings to stakeholders using tools like Matplotlib, ggplot2, and other visualization libraries.?Collaboration: Work closely with cross-functional teams including data engineers, product managers, and business analysts to understand requirements and deliver solutions.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

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