Data Scientist
HaystackAbout the role
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!
Responsibilities
- 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.
Qualifications
- 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.
Benefits
- Competitive annual salary 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.
Skills mentioned
About Haystack
Haystack combines AI & expert vetting to deliver world-class tech candidates who are engaged, aligned, and ready to interview. We're trusted by over 400,000+ tech candidates, working in Software Engineering, Data, Design, DevOps, Cloud, Tech Management, Testing, Product & Delivery, Architecture and more. 100s of employers from startups and scale-ups like Atom Bank, DuckDuckGo and Goodlord to established enterprises like American Express, Dunelm and AWS use Haystack to connect with qualified tech talent that they can't find anywhere else.
H-1B sponsorship history
Historical employer filing data was found for Haystack. The employer record includes 1 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.