Data Scientist

Everforth ECS is seeking a Data Scientist in Arlington, VA. This position is contingent upon additional funding.

Responsibilities

• Work independently and in teams to extract, manipulate, aggregate, clean, normalize, and validate data for projects.
• Research, design, and develop visualization solutions supporting investigative and audit products.
• Design experiments, test hypotheses, and build scalable models using data science and AI methods.
• Develop mathematical, statistical, econometric, and analytical solutions for audit, investigation, research, and support functions.
• Lead AI activities such as NLP, predictive analytics, and machine learning model development, training, evaluation, testing, refinement, deployment, and maintenance.
• Translate complex technical findings into clear narratives and prepare documentation (requirements, test plans, user manuals, technical diagrams, training materials).
• Develop project communications and maintain relationships between teams, stakeholders, and management.
• Provide advice on issues affecting projects, such as data access, quality, storage.
• Present training and conference materials to large audiences.
• Collect and analyze diverse data sources to develop insights, trends, and descriptive statistics.
• Identify and develop sources from structured and unstructured data, criminal intelligence databases, public sources, internal Postal Service databases, reference manuals, audit and law enforcement reports.
• Extract, evaluate, interpret, and visualize data to produce actionable intelligence for auditors and investigators to detect fraud, waste, and abuse.
• Use relational databases, data lakes, lakehouses, and other data environments to build analytic products (BI tools, summary tables, graphs, association and link charts).
• Collaborate with agencies and peers to share information and learn new analytical tools and techniques.
• Develop knowledge of database applications and environments and share expertise with coworkers.
• Coordinate with staff and customers to identify business and technical requirements.
• Produce written documentation and artifacts for all work completed, including translating user requirements into technical designs.
• Assist in development of programming and visualization solutions.
• Troubleshoot and support existing projects or application efforts.
• Engineer data analytic solutions, including prototypes, proof of concept, and full implementations.
• Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
• Ensure compatibility between equipment and software, analyze operational and system requirements, support design reviews, and present technical briefings.
• Analyze data for ETL strategies, pattern recognition, and application of analytical tools.
• Review, debug, test, and document existing products.
• Guide coworkers on business and technical issues affecting projects, such as data access, quality, storage capacity, and analytic tools.
• Work with training and conference development presentations.

Required Skills

• Degree in Computer Science, Information Technology, Data Analytics, or related field.
• 5+ years’ experience writing code in SQL, Python, R, and JavaScript.
• 3+ years’ experience on projects involving machine learning, NLP, robotic process automation, AI, text/data mining, statistical and mathematical methods.
• At least 6 months experience with AWS or Azure services (Databricks, Data Factory, Data Lake).
• Facilitate communication between business owners, end‑users, database administrators, and IT support staff.
• Ensure quality and security guidelines are followed.
• Strong relational database and querying language experience.
• Excellent verbal and written communication skills.
• Team‑work orientation.
• Expert proficiency with data science tools, IDEs, open‑source, commercial off‑the‑shelf tools, and hardware capabilities for model development, dashboards, and reports.
• Experience with advanced analytic techniques (machine learning, NLP, RPA, AI, text/data mining, statistical and mathematical methods).
• Experience with business intelligence applications and reporting technologies (DAX, Power Platform, Power BI, Power Apps, Power Automate).
• Knowledge of AWS or Azure services (Databricks, Data Factory, Data Lakehouses, Data Lake).
• Knowledge of ETL strategies, pattern recognition, analytic tools.
• Understanding of software development lifecycle (analysis, design, development, coding, testing, debugging, documenting).
• Proficiency in SQL, Python, R, JavaScript for creating solutions in complex environments.
• Demonstrated application of analytical techniques leading to business impact.
• Strong writing and documentation skills for data source collection, methodology, visualization deployment.
• Understanding of relational databases, data warehousing, data governance, data access, data quality.
• Knowledge of ODBC connection strings and external data source connection protocols.

Desired Skills

• Professional certification in data science or analytics.
• Experience with programming languages (Python) and BI tools (Power BI), analytics platforms (Databricks).
• Law enforcement and/or audit industry experience.
• Experience with Azure cloud computing.
• Experience with relational databases and SQL.

ECS Federal LLC is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other status protected by applicable law.