Senior Data Scientist
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Job Description
Senior Data Scientist supporting Maximus’s USSOCOM POTFF program. Applying machine learning and statistical analysis to improve SOF warriors’ and families’ well-being.
Responsibilities:
- Support the USSOCOM Preservation of the Force and Family (POTFF) program by identifying and implementing innovative data-driven solutions across the Special Operations Forces enterprise
- Improve the short- and long-term well-being of SOF warriors and their families through analytics and data solutions
- Provide consultation and assistance to supported units and POTFF staff across all POTFF domains
- Identify opportunities and methods for capturing data related to POTFF programs and initiatives
- Interpret results using data aggregation, statistical analysis, data mining, and pattern recognition
- Select features and construct and refine machine-learning classifiers
- Serve as a data and analytics subject matter expert for analysts and operational stakeholders
- Apply optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and other decision technologies
- Examine data, forecast trends, account for variability, and maintain reliable predictions
- Expand and refine data collection procedures for robust analytical systems
- Develop automated anomaly-detection systems and monitor model performance
- Lead project management activities and facilitate team communication and strategy implementation
- Track emerging technologies and systems relevant to Maximus initiatives
- Execute additional Maximus strategic-interest initiatives
Requirements:
- Bachelor's Degree or equivalent experience and 7+ years
- BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, Machine Learning, or a related field
- 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making
- Excellent understanding of machine learning techniques and algorithms, including k-NN, Naive Bayes, SVM, and Decision Trees
- Experience with common data science toolkits
- Experience with data visualization tools
- Advanced applied statistics skills, including distributions, statistical testing, and regression
- Highly skilled in SQL and expert use of relational databases
- Experience working with large data sets
- Experience working with distributed or cloud computing tools is a plus
- Ability to work independently with minimal supervision or cooperatively in a technical team
- Superior oral and written communication skills
- Strong passion for empirical research and answering complex questions with data
- Leadership in prioritizing projects and evaluating data analysis solutions
- Experience working directly with business users and requirements documentation
- Experience with solution/vendor evaluation and product ROI evaluation
- Experience with government-sponsored health care programs and operations is desirable
- U.S. citizenship required
- Active U.S. Government Secret security clearance required, or eligibility to obtain and maintain one as required for contract performance
Benefits:
- Flexibility designed to support work/life balance
- Medical, Dental, Vision, and Prescription plans
- Partially funded HSA
- Life Insurance
- Auto, Home, Renters, and Pet Insurance discounts
- 401(k) Retirement Savings Plan with Company Match
- PTO
- Paid holidays
- Extended sick leave
- Short- and Long-Term Disability coverage
- Employee Assistance Program (EAP)
- Employee recognition platform
- Tuition Reimbursement opportunities
- Employee discounts and perks
- Wellness programs and resources
- Training programs, workshops, conferences, and ongoing learning opportunities
- Renewal costs for required licenses and certifications covered
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