Data Scientist II

eSimplicity•Columbia, MD

10d•Hybrid

About The Position

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. eSimplicity is seeking a skilled and motivated Data Scientist to join our data analytics team. In this role, you will support efforts to design and implement advanced statistical and AI/ML solutions focused on extracting actionable insights, evaluating model performance, and leveraging semantic analysis techniques to enhance product safety decision-making. This role emphasizes innovation, efficiency, interpretability in modern cloud data environments, and analytics to shorten time to action. Successful candidates will be eligible to hold a U.S. Federal Public Trust security clearance. This position is contingent upon contract award.

Requirements

Bachelor’s degree, or equivalent experience in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field.
All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation.
2+ years developing statistical and AI/ML models using leading-edge tools and best practices.
2+ years building regression, classification, NLP, and other statistical/ML models for predictive analytics.
2+ years hands-on experience with Python (such as Pandas, Scikit-learn, PyTorch/TensorFlow for deep learning).
2+ years working in modern cloud environments (Azure); certifications advantageous.
2+ years experience with SQL for data manipulation and querying.
Proficiency in dashboard visualization tools (Power BI or equivalent).
Proven ability to integrate semantic coding techniques into ML workflows.
Strong oral and written communication skills for data storytelling.
Demonstrated experience with Git-based version control and collaborative development.
Demonstrated ability to collaborate effectively within Agile teams, contributing to iterative development, shared problem-solving, and continuous improvement to deliver high-quality solutions.
Proven ability to manage time and prioritize tasks in a fast-paced environment.
Demonstrated problem-solving skills with a proactive and solution-oriented mindset.

Nice To Haves

Hands-on with responsible AI (fairness, explainability, privacy).
Familiarity with domain-specific risk analytics and public sector/regulated environments.

Responsibilities

Apply semantic vibe coding efficiencies to uncover patterns and thematic insights from structured and unstructured data.
Translate complex data into clear, actionable narratives through data storytelling and visualization.
Design, implement, and maintain AI approaches (such as product similarity) and predictive models (such as supervised and unsupervised) for anomaly detection, classification, regression, and pattern recognition.
Conduct rigorous model evaluation using precision, recall, F1-score, AUC, and other performance metrics to ensure reliability and fairness.
Demonstrate an innovative mindset by exploring emerging technologies, creative approaches, and novel methodologies to solve complex problems efficiently.
Utilize modern efficiency tools and frameworks (e.g., GitHub Copilot, automated pipelines, CI/CD) to streamline development and deployment.
Optimize workflows for scalability in cloud environments (Azure).
Work in Agile teams; drive iterative delivery, joint problem-solving, and continuous improvement.
Engage closely with project managers, technical leads, client representatives, and cross-functional teams to provide timely updates, resolve issues, and ensure alignment with technical goals.
Translate technical specifications into code and design documents.