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Senior Data Scientist

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: General Dynamics Information Technology
Full Time position
Listed on 2026-01-23
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 97968 - 131100 USD Yearly USD 97968.00 131100.00 YEAR
Job Description & How to Apply Below

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 Quick Suite, 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 Quick Suite, 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…

Position Requirements
10+ Years work experience
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