You will be a primary technical owner of our human-in-the-loop augmented recommendations.
Work in a team that embraces both LLMs and traditional ML.
Manage experiments to test new features, including communication of results to stakeholders and leadership.
Solve problems related to recommendation ranking, hyperparameter optimization, and assortment generation.
Leverage a decade's worth of rich and unique data about clients, merchandise, and their interactions.
Work with product, product design, and engineering teams to create roadmaps for developing new client products, user features, and infrastructure.

Requirements

3+ years of real-world experience in leveraging Data Science to develop customer-oriented solutions with a recent focus on Recommendation Systems and Search
Understand the nuances of A/B testing and can balance algorithmic metrics with business metrics
Fluent in SQL and have experience handling large-scale datasets
Proficient in building and deploying apps using the Python data ecosystem
Degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or a related field
Strong communication skills with business partners
Team player who sees growth and success intertwined with peers
Inspired to take on new challenges and do not shy away from failure.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Data ScienceRecommendation SystemsSearchA/B testingSQLlarge-scale datasetsPythonhyperparameter optimizationassortment generation

Soft Skills

communication skillsteam playerproblem-solvingadaptabilitycollaboration