Senior Data Scientist

Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: NACI (T1) Job Family: Data Science and Data Engineering Job Qualifications: Skills: Agile Methodology, Big Data, Data Analysis, Structured Query Language (SQL) Certifications: None Experience: 5 + years of related experience US Citizenship Required: No Job Description: 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 YOU’LL 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 The likely salary range for this position is $97,968 - $131,100. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: None Telecommuting Options: Remote Work Location: Any Location / Remote Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc . Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans #J-18808-Ljbffr