Data Scientist

We're hiring on behalf of a Haystack partner!

The Role

• Design and execute statistical analyses on large, complex datasets from multiple sources.

• Develop production-quality data visualizations, plots, and dashboards for technical and executive audiences.

• Lead data science projects from scoping through delivery, ensuring analytical rigor and alignment with mission objectives.

• Collaborate with stakeholders to translate strategic questions into analytical approaches and deliver actionable insights.

• Respond to ad-hoc analytical requests while managing competing priorities and deadlines in an agile workflow.

• Mentor junior data scientists and establish best practices for reproducible, well-documented analyses.

What You'll Need

• 4+ years of experience with data science, statistical analysis, or quantitative research.

• 4+ years of experience with the development of algorithms, leveraging R or Python in data analysis libraries such as pandas, NumPy, scikit-learn, or Tidyverse.

• 4+ years of experience analyzing structured and unstructured data sources.

• Experience with statistics, including hypothesis testing, regression analysis, experimental design, and uncertainty quantification.

• Experience with data management in SQL, including managing large-scale data across multiple databases and data warehouses.

• TS/SCI clearance required.

What's On Offer

• Competitive annual salary ($77,600 – $176,000) plus bonus potential.

• Opportunity to work on impactful projects with national security implications.

• A collaborative team environment with opportunities for leadership and mentorship.

• Access to a flexible work model to support work-life balance.

Apply via Haystack today!