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.

• 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!