Haystack
Junior Data Scientist
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We're hiring for a leading provider of measurement solutions for online retail, empowering teams with full-funnel marketing insights, forecasting, and optimization. This company is dedicated to helping businesses move faster and grow smarter through advanced data analytics.
The Role
- Own moderately difficult data science tasks end-to-end, including analytical investigations, model backtesting, and production bug fixes.
- Systematically debug code across various repositories, leveraging AI tooling for efficiency.
- Write and review production-level Python and SQL code, focusing on quality and minimizing technical debt.
- Effectively utilize cloud tooling and QA automation for data validation and pipeline understanding.
- Communicate methodologies and findings directly to clients and colleagues.
- Proactively collaborate with other teams to define requirements and acceptance criteria.
- Develop into an internal data science champion for owned areas.
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What You'll Need
- 1-2 years of commercial data science experience or a strong academic record with a quantitative degree.
- Strong proficiency in Python and SQL, with experience in collaborative coding environments.
- Deep understanding of a select few machine learning algorithms and their appropriate applications.
- Demonstrated ability to systematically debug unfamiliar codebases, with effective use of AI assistance.
- Strong AI fluency, understanding how to optimally leverage AI tools for task initiation and dependency resolution.
- Confidence in completing work independently once scope is agreed upon.
- Ability to communicate effectively with stakeholders with minimal supervision.
- Genuine attention to detail, with a keen eye for identifying inaccuracies.
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What's On Offer
- Competitive salary
- A published Data Science Career Development Framework with clear progression criteria.
- Opportunities to work on advanced methodologies like Bayesian attribution, MMM, and causal inference.
- A collaborative team environment with rigorous code and methodology reviews.
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