Data Scientist III

Data Scientist III

Location: Arlington, VA – Hybrid (Candidates must reside in the DC Metro area and report to the Arlington, VA office twice per pay period.) Clearance Requirements: Public Trust Clearance (Candidates must be eligible to obtain a Position of Public Trust clearance.) Position Status: Contract

Seneca Resources is seeking an experienced Data Scientist III to support advanced data analytics, artificial intelligence, machine learning, and business intelligence initiatives in a complex enterprise environment. This role is ideal for a data science professional who enjoys transforming structured and unstructured data into actionable insights, developing scalable analytical solutions, and communicating complex findings to technical and non-technical stakeholders. The Data Scientist will work across data engineering, analytics, visualization, AI/ML, and cloud technologies to develop solutions that support investigative, audit, research, and operational objectives.

Key Responsibilities:

• Extract, clean, transform, normalize, validate, and analyze structured and unstructured data from multiple enterprise sources.
• Design and develop data science, machine learning, artificial intelligence, and predictive analytics solutions, including model development, training, testing, evaluation, refinement, deployment, and maintenance.
• Develop interactive data visualizations, dashboards, reports, and analytical products using tools such as Power BI and related business intelligence platforms.
• Apply advanced analytical techniques including machine learning, natural language processing (NLP), text mining, data mining, statistical modeling, pattern recognition, optimization, and simulation.
• Develop and optimize data solutions using SQL, Python, R, JavaScript, relational databases, data warehouses, data lakes, and data lakehouse environments.
• Build and support ETL/ELT pipelines, data integration processes, data quality frameworks, and analytical datasets.
• Leverage cloud technologies including AWS, Microsoft Azure, Databricks, Data Factory, Data Lake, and Data Lakehouse services.
• Translate business and technical requirements into data models, analytical solutions, technical designs, prototypes, proof-of-concepts, and production-ready implementations.
• Analyze data to identify trends, relationships, anomalies, patterns, and actionable insights that support business, audit, investigative, and operational decisions.
• Work with stakeholders, business owners, database administrators, developers, and IT teams to define requirements, resolve data issues, and deliver analytics solutions.
• Develop comprehensive technical documentation, including requirements, methodologies, data sources, test plans, technical diagrams, user guides, and training materials.
• Troubleshoot, enhance, test, debug, and document existing analytical applications, dashboards, models, and data products.
• Apply data governance, security, quality, access, and continuity-of-operations practices throughout the data analytics lifecycle.
• Present analytical findings, technical briefings, training materials, and project updates to technical teams, leadership, stakeholders, and larger audiences.
• Provide technical guidance and knowledge sharing to colleagues on data science methodologies, analytical tools, data quality, data access, and emerging technologies.

Required Skills/Education:

• Bachelor's degree in Computer Science, Information Technology, Data Analytics, Data Science, Mathematics, Statistics, or a related technical discipline.
• 5+ years of professional experience developing data science solutions using programming and scripting languages such as Python, SQL, R, and JavaScript.
• 3+ years of experience applying machine learning, artificial intelligence, natural language processing, robotic process automation, text/data mining, statistical modeling, or advanced mathematical methods.
• 6+ months of experience working with cloud data platforms or services such as AWS, Azure, Databricks, Data Factory, Data Lake, or Data Lakehouse.
• Strong experience with relational databases, SQL querying, data modeling, data warehousing, and data integration.
• Experience developing Power BI dashboards, reports, visualizations, and analytical solutions, including familiarity with DAX and Power Query/M.
• Experience designing and implementing ETL/ELT strategies, data pipelines, data transformations, data validation, and data quality processes.
• Demonstrated ability to transform complex datasets into meaningful business insights and actionable recommendations.
• Experience working with both structured and unstructured data and applying appropriate analytical, statistical, or machine learning techniques.
• Strong understanding of the software development lifecycle, including requirements analysis, design, development, testing, debugging, deployment, and documentation.
• Strong technical writing, documentation, presentation, and stakeholder communication skills.
• Ability to work independently while collaborating effectively with cross-functional teams.

About Seneca Resources At Seneca Resources, we are more than just a staffing and consulting firm, we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact. When you work with Seneca, you're choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way. Seneca Resources is proud to be an Equal Opportunity Employer, committed to fostering a diverse and inclusive workplace where all qualified individuals are encouraged to apply.