Data Science Manager, Senior

THOR Solutions is actively seeking a senior-level Data Science Manager to support the United States Coast Guard (USCG)'s Ship Design Team (SDT) in Washington, DC. In this role, the candidate will applying statistical analysis and data mining to apply, learn, and improve understanding of data relating to USCG platforms, systems, and personnel. An ideal candidate will have prior experience collecting, interpreting, modeling, and publishing data in a USCG, Navy, DoD, or other Federal environment.

Typical Responsibilities:

• Plan and conduct statistical data analytics projects and/or studies to evaluate, design, and tabulate statistical sampling plans and analytical procedures and processes.
• Leverage Structured Query Language (SQL), Python data science and visualization packages (PyMC3, matplotlib, Bokeh, Sci-Kit, TensorFlow), MatLAB, PHP, Tableau, and similar data integration services and data visualization tools.
• Develop plans and oversight for full product development for Data Science projects from requirements development to deployment and sustainment.
• Provide recommendations for improvement, and data use, including development of standards, understanding data from trade, feasibility and in-life assessments.
• Perform and present results of simulations and sampling techniques such as Monte Carlo, Latin Hypercube, Markov Chain, etc.
• Provide professional and scientific expertise in performance of work requiring knowledge and application of mathematics, statistical analysis, modeling/simulation, and/or other scientific principles, methods, and techniques related to leveraging data to support the total lifecycle and systems engineering of Coast Guard boats and cutters including requirements development, design, construction, operations, sustainment, and disposal and support the development of manning and training requirements analysis for operational assets as well as supporting units and personnel.

Location: Primarily onsite (at least 3 days/week) at USCG Headquarters in Washington, DC.

Travel: Up to 10% travel to CONUS locations is anticipated.

Typical Physical Activity: Primarily desk/computer work in an office environment. May involve: repetitive motion.

Typical Pay Range: The anticipated pay range for this position in the identified location(s) is $100,000 - 125,000. Actual compensation offered will be based upon individual factors including education, qualifications, and experience.

Eligibility for a SECRET Security Clearance is Required: This position requires eligibility for a Secret security clearance, to be obtained after hire. Only U.S. citizens are eligible for a security clearance ; therefore, only current U.S. citizens will be considered for this position.

Required Knowledge, Skills, and Abilities:

• Bachelor's degree in a relevant field such as operations research, data science, applied mathematics or statistics, business management, or human resources management.
• At least eight (8) years of recent, relevant professional experience applying statistical analysis and data mining to apply, learn, and improve understanding of data.
  • Developing plans and oversight for full product development for Data Science projects from requirements development to deployment and sustainment.
  • Using data workflow management tools and approaches such as Kanban boards, Agile development, etc.
• Knowledge of and skill in the use of Structured Query Language (SQL), Python data science and visualization packages (PyMC3, matplotlib, Bokeh, Sci-Kit, TensorFlow), MatLAB, PHP, Tableau, and similar data integration services and data visualization tools.
• Ability to work independently and lead analyses of data and information for use.
• Proficiency with common productivity software including the Microsoft Office suite.
• Strong communication skills.

Additional Preferred Knowledge, Skills, and Abilities:

• A Master's level degree in a relevant field is preferred, and may be used to fulfill part of the years of experience requirement.
• Experience obtained in a USCG, Navy, or other marine or defense environment is highly preferred.