Data Scientist 2

Job Description:

Data science is a multi-disciplinary field that uses elements of mathematics, statistics, computer science, and application-specific knowledge to gather, make, and communicate principled conclusions from data. Data Scientists tackle challenging real-world problems leveraging big data, high-performance computing, machine learning, and a breadth of other methodologies. We are looking for critical thinkers, problem solvers, and motivated individuals who are enthusiastic about data and believe that answers to hard questions lie in the yet-to-be-told story of diverse, complicated data sets. You will develop solutions to complex data problems.

The Level 2 Data Scientist shall possess the following capabilities:

• Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method.
• Develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in National Agency data holdings.
• Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge.
• Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
• Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting National Agency collection, processing, storage, and analytic capability and limitations.
• Knowledge of agency specific tools and methodologies
• Strong critical thinking and collaboration skills
• Data Parsing.
• Tool knowledge needed.
• Data flow knowledge needed.
• Python needed.

Qualifications:

• Demonstrated experience in Data Science capabilities, to include designing/implementing machine learning, data science, advanced analytical algorithms, programing, statistical analysis, data management, data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
• Associate degree in relevant field, plus 5 years of demonstrated experience or Bachelor's Degree in relevant field, plus 3 years of demonstrated experience in Data Science capabilities or Master's Degree in relevant field, plus 2 years' experience.
  

Must Possess a TS/SCI With Full Scope Poly.

TS/SCI with FS Polygraph