Data Scientist 3-FFPP-8955

Onsite role in Hanover, MD focused on developing and operationalizing machine learning and analytics across mission automation.

Responsibilities

• Develop machine learning, data mining, statistical, and graph-based algorithms to analyze and make sense of datasets
• Prototype and compare multiple algorithms, selecting final models using appropriate performance metrics
• Build models or design experiments to generate training or example data when datasets are unavailable
• Develop descriptive, predictive, and prescriptive analytics using statistical, machine learning, and heuristic techniques
• Develop statistical tests to support data-driven recommendations and decisions
• Develop experiments to collect data or simulate data/models when required data is not available
• Create feature vectors for machine learning algorithm inputs and support analytic development and testing
• Select the most appropriate algorithm for a given dataset and tune input and model parameters
• Evaluate and validate analytics performance using standard techniques and metrics such as cross validation, ROC curves, and confusion matrices
• Oversee multiple analytic efforts, guiding the team through analytic development and performance monitoring
• Direct analytic development toward solutions that can scale to large datasets
• Implement prototype algorithms within production frameworks to integrate into analyst workflows
• Partner with subject matter experts to:
  • Translate manual data analysis into automated analytics
  • Identify important information in raw data and develop scripts to extract it from multiple formats (e.g., SQL tables, structured metadata, network logs)
  • Incorporate SME input into feature vectors
• Translate qualitative customer/SME analysis processes and goals into quantitative formulations coded into software prototypes
• Produce reports and visualizations summarizing datasets and delivering data-driven insights to customers
• Develop data visualizations that explain dataset structure and meaning
• Collaborate with software engineers and cloud developers to develop production analytics
• Understand emerging machine learning and pattern recognition approaches and guide integration of state-of-the-art algorithms
• Guide the transition of prototyped analytics into production systems
• Lead data scientist team efforts across multiple analytic efforts and support delegation of analysis responsibilities
• Work with customers and SMEs to define analytic requirements and help translate them into solutions

Requirements

• Active TS/SCI with Full Scope Polygraph clearance (U.S. citizenship required)
• Bachelor’s degree or higher in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science)
• Minimum 10 years experience in two (2) or more of: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB
• An additional four (4) years of experience in software development, cloud development, dataset analysis, or developing descriptive, predictive, and prescriptive analytics can substitute for a bachelor’s degree
• A Master’s degree in a quantitative discipline can substitute for two (2) years of experience, for a total of eight (8) years required
• A Doctoral degree in a quantitative discipline can substitute for four (4) years of experience, for a total of six (6) years required

Technologies

• R, Python, SAS, MATLAB, SQL
• ROC curves, confusion matrices, cross validation

Benefits

• Medical, dental, and vision insurance
• Basic Life/AD&D, Voluntary Life/AD&D, Short and Long-Term Disability, Accident, Critical Illness, Hospitalization Indemnity, and Pet Insurance
• 401(k) plan with company match
• Generous PTO, paid holidays, parental leave, and more
• Access to wellness programs and mental health support
• Opportunities for growth, including tuition reimbursement
• Flexible work arrangements, including remote work options
• Flexible Spending Accounts (FSAs)
• Employee referral programs
• Bonus opportunities
• Technology allowance
• Diverse, inclusive, and supportive workplace culture

Compensation

• Salary range: USD 78,000 - 250,000 per year
• Exact salary determined by work location, role, skill set, and level of expertise

Location: Hanover, MD (onsite)