Deliver insights to help our clients turn data into action as a Senior Data Scientist at GDIT. Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission.

HOW A SENIOR DATA SCIENTIST WILL MAKE AN IMPACT

Perform scientific work associated with the analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.Use large data sets to find opportunities for product and process optimization.Use models to test the effectiveness of different courses of action.Use predictive modeling to increase and optimize customer experiences, efficiencies, process improvements, and other business outcomes.Mine and analyze data using a variety of data tools.Build and implement models using/creating algorithms and creating/running simulations.Develop processes and machine learning-based tools to monitor and analyze model performance and data accuracy.Assess the effectiveness and accuracy of new data sources and data gathering techniques.Drive business results with data-based insights.Ability to work independently and troubleshoot challengesCommunicate analytic findings and recommendations to non-technical stakeholders, verbally and through written reportsProvide support in capturing and defining any requirements for the deliverables/ solutions for the projects under this contract.Provide expertise and implementation support for projects in data science, predictive analytics, machine learning, and artificial intelligence.

WHAT YOU’LL NEED TO SUCCEED:

Education: Bachelor's Degree in data science, or related fieldRequired Experience: 5+ years of related experience as described in the "How You Will Make an Impact" section above.Logistic regressionWell-versed in statistical theoryGeneralized estimating equations

REQUIRED TECHNICAL SKILLS:

Proven experience developing machine learning models and engineering features using Python, PySpark, SQL, R, Databricks, Machine learning with regularization models (especially LASSO), and other packages in Amazon SageMaker AIAble to create complex queries in SQL for testing and data analysisExperience developing ML pipelines and with ML OperationsExperience with Model Tuning and GovernanceExperience with the following tools: MLFlow, GitHub, DockerMust be able to work with engineering teams to source the right data, evaluate system performanceProblem-solving attitude

IT WOULD BE GREAT IF YOU ALSO HAD:

Data Science experience with healthcare and/or claims analysisStatistics background and knowledge of queuing theorySAS

LOCATION: Remote

CLEARANCE: requires ability to pass CMS background check and meet the residency requirement for having resided in the US at least (3) three out of the last (5) five years.

GDIT IS YOUR PLACE:

Full-flex work week to own your priorities at work and at home401K with company matchcomprehensive health and wellness packagesInternal mobility team dedicated to helping you own your careerProfessional growth opportunities including paid education and certificationscutting-edge technology you can learn fromRest and recharge with paid vacation and holidays