Data Scientist 3 - MLOps

Captivation Software•Annapolis Junction, MD
•$130,000 - $270,000

About The Position

Captivation Software is seeking a senior-level Data Scientist with a significant MLOps and data science background. The role develops analytics and machine-learning systems to support mission automation, guides analytic efforts and data scientists, and helps transition prototypes into production systems. The position works with customers, subject matter experts, software engineers, and cloud developers to build analytics that meet requirements and scale to large datasets. Candidates must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable polygraph and be U.S. citizens. The position is open to direct hires only; candidates from third-party staffing or recruiting firms will not be considered.

Requirements

  • Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable polygraph.
  • Must be a U.S. citizen.
  • At least 10 years of experience in two or more of the following areas: designing or 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.
  • Bachelor's degree or higher from an accredited college or university in a quantitative discipline such as statistics, mathematics, operations research, engineering, or computer science. An additional four years of experience in software development, cloud development, dataset analysis, or development of descriptive, predictive, and prescriptive analytics may substitute for a bachelor's degree.
  • A master's degree from an accredited college or university in a quantitative discipline may substitute for two years of experience, for a total of eight years of experience required.
  • A doctoral degree from an accredited college or university in a quantitative discipline may substitute for four years of experience, for a total of six years of experience required.
  • The position is open for direct hires only; candidates from third-party staffing or recruiting firms will not be considered.

Responsibilities

  • Produce data visualizations that provide insight into dataset structure and meaning.
  • Work with subject matter experts to identify important information in raw data and develop scripts to extract it from formats such as SQL tables, structured metadata, and network logs.
  • Incorporate subject matter expert input into feature vectors suitable for analytic development and testing.
  • Translate customer qualitative analysis processes and goals into quantitative formulations coded into software prototypes.
  • Develop and implement statistical, machine-learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
  • Develop statistical tests to support data-driven recommendations and decisions.
  • Develop experiments to collect data or models to simulate data when required data are unavailable.
  • Develop feature vectors for input into machine-learning algorithms.
  • Identify appropriate algorithms for datasets and tune input and model parameters.
  • Evaluate and validate analytic performance using standard techniques and metrics, including cross-validation, ROC curves, and confusion matrices.
  • Oversee individual analytic efforts and guide the team through the analytic development process.
  • Guide analytic development toward solutions that scale to large datasets.
  • Partner with software engineers and cloud developers to develop production analytics.
  • Develop and train machine-learning systems based on statistical analysis of data characteristics to support mission automation.
  • Lead a team of data scientists developing multiple analytic efforts.
  • Work with customers and subject matter experts to define analytic requirements and guide the team in formulating analytics that meet them.
  • Guide the transition of prototyped analytics to production systems.
  • Track emerging machine-learning and pattern-recognition algorithms and guide a team in integrating state-of-the-art algorithms into solutions.
  • Delegate analysis responsibilities to team members and monitor their performance.

Benefits

  • Up to 20% 401(k) contribution, with no matching required and vesting from day one.
  • Annual salary of $130,000–$270,000, depending on years of experience.
  • $3,600 HSA contribution.
  • Six weeks of paid time off.
  • Company-paid employee medical, dental, vision, life, short-term disability, long-term disability, and AD&D insurance.
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