About Us:
eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow.
Purpose and Scope:
We are seeking a Data Scientist to join our Data & AI team. This role will apply advanced analytics, machine learning, and artificial intelligence to large and complex datasets to identify patterns, develop predictive insights, and support high-impact decision making. The ideal candidate is a hands-on data scientist who is comfortable working directly with stakeholders, developing analytical approaches from ambiguous problems, and communicating complex findings clearly.
This position is contingent upon contract award.
Responsibilities:
- Design, develop, test, and maintain advanced statistical, machine learning, and AI models.
- Develop supervised and unsupervised models including regression, classification, clustering, anomaly detection, and related approaches.
- Analyze large structured and unstructured datasets using Python, Pandas, and SQL.
- Support development and implementation of semantic layer architectures.
- Develop analytical methods, indicators, and models to identify patterns, anomalies, relationships, and potential risk.
- Work directly with investigative and business stakeholders to translate questions into analytical approaches and actionable findings.
- Develop and scale natural language processing solutions, including techniques such as semantic analysis, OCR, and large language models.
- Develop dashboards, visualizations, and analytical products to communicate methods, findings, and recommendations.
- Document analytical methodologies, model testing, assumptions, and results.
- Collaborate with data engineers and technical teams to support analytics and machine learning in cloud environments.
Competencies:
- Applied Data Science: Translates complex business or investigative questions into practical analytical approaches and models.
- Technical Depth: Demonstrates strong hands-on capability across Python, SQL, statistical modeling, machine learning, and modern AI techniques.
- Problem Solving: Works effectively with incomplete or complex data and adapts analytical approaches as requirements evolve.
- Communication: Clearly explains analytical methods and findings to technical and non-technical stakeholders.
- Collaboration: Works effectively with stakeholders, data engineers, and other technical team members to deliver usable analytical solutions.
