Associate Data Scientist
HaystackAbout the role
A leading technology integrator specializing in full life cycle services and solutions for the federal government is seeking a passionate and skilled individual to join their innovative team. This organization leverages deep customer and domain knowledge to deliver complex systems engineering and integration offerings, redefining ingenuity in government technology.
The Role
Work with senior data scientists on data management and analysis.
Develop and apply ETL data pipelines to create analytic datasets.
Perform exploratory data analyses (EDA) on analytic datasets.
Apply AI models for evaluation, enrichment, prediction, or generation.
Contribute to developing statistically sound experimental designs and hypothesis testing.
Plan and execute comprehensive statistical analyses to generate quantitative results.
What You'll Need
Bachelor's degree in mathematics, statistics, data science, or a comparable quantitative science.
0-2 years of applicable professional experience.
Proficiency in programming statistical analyses, machine learning, and/or data mining (R, Python, or similar).
Proficiency in database technologies (SQL, NoSQL).
Familiarity with source control (e.g., Git) and common data formats (JSON, Parquet, XML).
Ability to obtain and maintain a Public Trust clearance.
What's On Offer
Opportunity to work on innovative AI technologies for US government use-cases.
Engaging environment promoting learning and exploration.
Focus on work-life balance.
Competitive salary range of $80,001 - $120,000 per year.
Apply via Haystack today!
Responsibilities
- Work with senior data scientists on data management and analysis
- Develop and apply ETL data pipelines to create analytic datasets
- Perform exploratory data analyses (EDA) on analytic datasets
- Apply AI models for evaluation, enrichment, prediction, or generation
- Contribute to developing statistically sound experimental designs and hypothesis testing
- Plan and execute comprehensive statistical analyses to generate quantitative results
Qualifications
- Bachelor's degree in mathematics, statistics, data science, or a comparable quantitative science
- 0-2 years of applicable professional experience
- Proficiency in programming statistical analyses, machine learning, and/or data mining (R, Python, or similar)
- Proficiency in database technologies (SQL, NoSQL)
- Familiarity with source control (e.g., Git) and common data formats (JSON, Parquet, XML)
- Ability to obtain and maintain a Public Trust clearance
Benefits
- Opportunity to work on innovative AI technologies for US government use-cases
- Engaging environment promoting learning and exploration
- Focus on 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.