Data Scientist

Everforth ECS is seeking a Data Scientist to work in our Arlington, VA office.  Please Note: This position is contingent upon additional funding.

 

Responsibilities include:

 

• Works independently and within teams to use the necessary data extraction, manipulation, and aggregation techniques to prepare, clean, normalize, and validate data to complete varied projects and tasks.
• Researches, designs, and develops visualization solutions using a range of methods which support investigative and audit products.
• Designs experiments, tests hypotheses, and builds scalable models using data science and artificial intelligence (e.g. machine learning) methods.
• Designs, develops, and adapts mathematical, statistical, econometric, and other analytical solutions for audit, investigation, research, and support functions.
• Leads artificial intelligence activities such as natural language processing, predictive analytics, and machine learning model development, training, evaluation, testing, refinement, deployment, and maintenance.
• Translates complex technical findings into an easily understood narrative. Prepares comprehensive documentation for requirements, test plans, user manuals, technical diagrams, and training materials.
• Develops project communications and maintains effective working relationships between project teams, stakeholders, and management.
• Provides advice on issues affecting projects, such as data access, quality, storage, and other related needs.
• Contributes to and presents training and conference materials to large audiences.
• Independently performs comprehensive and efficient data collection and analysis of a variety of data sources to develop trends, descriptive statistics, or other insights.
• Uses expert level knowledge to identify and develop sources of information from structured and unstructured data, criminal intelligence databases, public information sources, internal Postal Service databases, reference manuals, and audit and law enforcement reports.
• Independently researches, extracts, evaluates, interprets, and visualizes data and information as actionable intelligence for auditors and investigators to detect, prevent, and respond to fraud, waste, and abuse.
• Uses relational databases, data lakes, data lakehouses, and other data environments to create a variety of analytic products such as business intelligence tools, summary tables, comparison graphs, or temporal, association, and link analysis charts.
• Interacts with other agencies and builds relationships with peers to share information and learn the latest developments in analytical tools and techniques to effectively support the OIG with mission related work.
• Develops substantial knowledge of database applications and environments and shares expertise with coworkers in support of agency goals and objectives.
• Coordinate with staff and customers to identify business and technical requirements.
• Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs.
• Assist the agency in the development of programming and visualization solutions.
• Troubleshoot and provide support on existing projects or application efforts.
• Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
• Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
• Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
• Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
• Review, analyze, and modify existing products including coding, debugging, testing, and documenting.
• Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
• Assist with training and conference development which may include presentations to large audiences.