Data Scientist

Responsibilities

• Develop, deploy, and maintain production ML and NLP models that surface insights from large volumes of human-capital and workforce data.
• Build and modernize data products and pipelines that improve data access, integration, and quality across legacy and cloud-based systems.
• Translate ambiguous policy and program questions into well-scoped analytical work, partnering with non-technical stakeholders and presenting results in ways decision-makers can act on.
• Contribute to a modern, cloud-first technology stack (Azure ecosystem) that meets federal standards for security, privacy, and governance.
• Help strengthen the client's internal data-science capability through pairing, code review, knowledge transfer, and reusable tooling.

Requirements

• 2–3 years of experience developing, deploying, and maintaining large-scale ML models in production using real-world data.
• Bachelor’s degree in mathematics, statistics, computer science, engineering, data science, or a related quantitative field.
• Hands-on experience building and evaluating NLP-based machine learning models.
• Strong Python skills for developing and automating ML models and data pipelines.
• Proficiency with collaborative development tools (VS Code, Git, GitHub Copilot).
• Experience working in Agile teams to iteratively develop and deliver data products.
• Strong analytical, communication, and cross-functional collaboration skills, including translating ambiguous requirements into actionable solutions.

Qualifications

• Experience using Azure cloud products such as Azure Databricks, Azure DevOps, Azure OpenAI, and Azure AI Search.
• Experience delivering data-science work in a federal or other regulated environment, with awareness of FedRAMP, FISMA, or similar compliance regimes.
• Experience working with human-capital, workforce, survey, or other administrative-record data.
• Experience with MLOps tooling and patterns for monitoring, retraining, and governing models in production.

Pay

Compensation is commensurate with experience.

Schedule

The position is a hybrid role with several days onsite per month as needed.

Benefits

Details on benefits are not specified at this time.