Senior Data Scientist
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. Here, you can make a meaningful impact on our clients mission and on your career.
HOW A DATA SCIENTIST WILL MAKE AN IMPACT - Contributes to completion of specific programs and projects
- Develops data-driven solutions to complex business challenges.
- Applies and integrates predictive modeling and business analysis skills to manage complex, high-volume data from a variety of sources.
- Performs data collection and analysis using SQL and Python.
- Prepares presentations that reflect the results of data analysis and demonstrate to the client using QuickSuite, Excel, or other AWS Native tools.
- Utilizes advanced tools and computational skills to interpret, connect, predict, and make discoveries in data and deliver recommendations for business and analytic decisions.
- Evaluates the effectiveness and accuracy of new data sources and gathering techniques.
- Ensures the integrity of project data, including data extraction, storage, manipulation, processing and analysis.
- Uses predictive modeling to increase and optimize customer experiences, efficiencies, process improvements, and other business outcomes.
- Works with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions.
- May develop processes and machine learning based tools to monitor and analyze model performance and data accuracy.
- Maintains current knowledge of relevant technologies as assigned.
- Performs additional duties as assigned.
- May coach and review the work of less-experienced professionals.
WHAT YOULL NEED TO SUCCEED: Bachelor's degree in a Data Science, Computer Science, Statistics or a related technical discipline, or the equivalent combination of education, technical certifications or training, or work experience. 5+ years of related data science/data analysis experience. Strong SQL skills, required AWS Native tools experience (such as QuickSuite, Amazon Q), a plus Claims data experience, specifically Part D claims, a plus Artificial Intelligence / Machine Learning experience, a plus
LOCATION: Remote
CLEARANCE: Must have resided in the US for 3 of the past 5 years and pass a CMS background check in order to obtain a Public Trust.
GDIT IS YOUR PLACE: Full-flex work week to own your priorities at work and at home 401K with company match Comprehensive health and wellness packages Internal mobility team dedicated to helping you own your career Professional growth opportunities including paid education and certifications Cutting-edge technology you can learn from Rest and recharge with paid vacation and holidays
|