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Senior Data Scientist

General Dynamics Information Technology • Fairfax, VA • 9h ago

Req ID: RQ205058

Type of Requisition: Regular

Clearance Level Must Be Able to Obtain: None

Public Trust/Other Required: None

Job Family: Data Science

Skills:

Big Data,Databricks Platform,Data Science,Machine Learning,Predictive Analytics

Experience:

5 + years of related experience

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.

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 challenges

Communicate analytic findings and recommendations to non-technical stakeholders, verbally and through written reports

Provide 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 field

Required Experience: 5+ years of related experience as described in the "How You Will Make an Impact" section above.

Logistic regression

Well-versed in statistical theory

Generalized 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 AI

Able to create complex queries in SQL for testing and data analysis

Experience developing ML pipelines and with ML Operations

Experience with Model Tuning and Governance

Experience with the following tools: MLFlow, GitHub, Docker

Must be able to work with engineering teams to source the right data, evaluate system performance

Problem-solving attitude

IT WOULD BE GREAT IF YOU ALSO HAD:

Data Science experience with healthcare and/or claims analysis

Statistics background and knowledge of queuing theory

SAS

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 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 $107,950 - $146,050. 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.

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 https://gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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