Data Scientist II

Role

eSimplicity is seeking a Data Scientist II to support a data analytics team focused on building statistical and AI/ML solutions (including semantic analysis and product-similarity models) to surface actionable insights and improve product safety decision-making. The role requires designing, implementing, evaluating, and operationalizing models in modern cloud environments with an emphasis on interpretability, efficiency, and scalability.

Key Responsibilities

• Apply semantic coding techniques to uncover patterns from structured and unstructured data.
• Translate complex data into clear narratives through data storytelling and visualization.
• Design, implement, and maintain AI approaches and predictive models (supervised and unsupervised) for anomaly detection, classification, regression, and pattern recognition.
• Conduct rigorous model evaluation using metrics such as precision, recall, F1-score, and AUC to ensure reliability and fairness.
• Explore emerging technologies and novel methodologies to improve efficiency and solution quality.
• Use modern development and deployment tools (e.g., GitHub Copilot, automated pipelines, CI/CD) to streamline workflows.
• Optimize workflows for scalability in cloud environments (Azure).
• Work in Agile teams and engage with project managers, technical leads, client representatives, and cross-functional teams.
• Translate technical specifications into code and design documents.

Requirements

• Bachelor’s degree (or equivalent experience) in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field.
• Must be able to obtain U.S. Federal Public Trust clearance (U.S. citizenship or specific residency/visa conditions apply).
• 2+ years developing statistical and AI/ML models and building regression, classification, NLP, and other predictive analytics models.
• 2+ years hands-on experience with Python (including libraries such as Pandas, scikit-learn, PyTorch/TensorFlow).
• 2+ years working in modern cloud environments (Azure); certifications are advantageous.
• 2+ years experience with SQL for data manipulation and querying.
• Proficiency with dashboard visualization tools (Power BI or equivalent).
• Experience integrating semantic coding techniques into ML workflows.
• Strong oral and written communication skills for data storytelling.
• Experience with Git-based version control and collaborative development.
• Ability to collaborate in Agile teams and manage priorities in a fast-paced environment.

Preferred Qualifications

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

Working Environment

• Hybrid work environment operating within the Eastern time zone; expected hours 9:00 AM to 5:00 PM Eastern unless directed otherwise.
• Occasional travel for training and project meetings (estimated <5% per year).
• This position is contingent upon contract award.

Benefits

• Highly competitive salary.
• Full healthcare benefits.