Senior Data Scientist – Machine Learning

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $123.3k - $166.8k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

General Dynamics Information Technology

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1954

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.

📋 Description

• Design, train, and validate supervised machine learning models scoring providers and billing patterns for fraud, waste, and abuse risk • Use investigative case-level data, payer feedback, and public exclusion and enforcement data as labels • Perform entity resolution linking enforcement records to providers in claims • Design validation for delayed labels, limited coverage, extreme class imbalance, and rapidly shifting schemes • Engineer features against billions of claims within the data warehouse using Python and SQL • Deliver ranked model outputs with human-readable rationales and claim-level evidence • Adjust scores for case mix and specialty and optimize precision at the top of review queues • Deploy models into production, including scheduling, versioning, and drift monitoring • Establish modeling and deployment practices for the Data Science team • Collaborate with FWA Subject Matter Experts to distinguish genuine anomalies from policy- or edit-explained patterns • Communicate methodology and limitations to HFPP partners and stakeholders • Support investigators and clients in adopting and acting on analytic output

🎯 Requirements

• Master's in a quantitative field, or Bachelor's with equivalent hands-on experience • 5+ years building, validating, and delivering supervised machine learning models on real-world data • Experience with incomplete, delayed, or biased labels • Experience deploying and maintaining production models, including scheduling, versioning, and drift monitoring • Python and SQL proficiency • Feature engineering within very large-scale data warehouses • 2+ years working with healthcare claims data, including Medicare, Medicaid, or commercial claims • Knowledge of coding systems such as ICD-10, CPT, HCPCS, and DRG • Experience designing validation for imbalanced and temporally shifting problems • Knowledge of out-of-time evaluation, leakage detection, calibration, and precision-focused ranked-output metrics • Ability to explain model output to non-technical investigators • Ability to defend methodology to technical audiences and present analytic outcomes to clients and stakeholders • Must be able to obtain/maintain Public Trust • No work visa sponsorship provided • Candidates must reside in the United States

🏖️ Benefits

• Medical plan options, including plans with Health Savings Accounts • Dental plan options • Vision plan • 401(k) plan with pre-tax and post-tax contributions and company match • Full flex work weeks where possible • Vacation, sick and personal time • Paid holidays • Paid parental leave • Military leave • Bereavement leave • Jury duty leave • Typically 15 days of paid leave per calendar year • Additional 10 paid holidays per year • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees • Short- and long-term disability benefits • Life insurance • Accidental death and dismemberment insurance • Personal accident insurance • Critical illness insurance • Business travel and accident insurance • Remote work