Junior Data Scientist

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.

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.

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.