Data Scientist

We're hiring on behalf of a Haystack partner!

• The Role
• • Provide analytical and technical support for public health surveillance, data engineering, and advanced analytics initiatives.
• • Build and maintain data pipelines to ingest, transform, and validate large datasets.
• • Analyze complex datasets to identify trends, anomalies, and actionable insights.
• • Develop and support statistical analyses, basic modeling, and data-driven reporting.
• • Create dashboards, visualizations, and reports to communicate findings to stakeholders.
• • Document data processes, workflows, and standard operating procedures.

• What You'll Need
• • Master’s degree in Data Science, Bioinformatics, Statistics, Computer Science, Epidemiology, or related quantitative field.
• • Strong experience working with large datasets and complex data structures.
• • Proficiency in Python (preferred), R, or similar programming languages, SQL, and database querying.
• • Experience with data processing frameworks (e.g., PySpark).
• • Experience building and maintaining data pipelines and reproducible workflows.
• • Knowledge of statistical modeling, machine learning, or advanced analytics techniques.
• • U.S. citizenship or legal permanent residency is required.
• • Active NACI clearance or the ability to obtain one is required.

• What's On Offer
• • Competitive annual salary ($90,000 – $105,000) plus potential for other benefits as provided.
• • Opportunity to work on critical public health initiatives.
• • Collaborative and fast-paced environment.
• • Professional development and growth.

Apply via Haystack today!