Senior Data Scientist – Search & Recommendations

This is a fully remote position, open to applicants in Romania.

📋 Description

• Analyze extensive e-commerce search data to uncover trends and identify opportunities for enhancements in search, ranking, recommendations, and personalization.

• Examine search behaviors such as zero results, query reformulation, abandonment, position bias, CTR, and the trade-offs between relevance and business objectives.

• Define and analyze search KPIs.

• Conduct thorough evaluations of online experiments related to ranking, personalization, recommendations, and hybrid or vector search.

• Develop comprehensive metrics layers utilizing event-level data and server-side search logs.

• Convert raw tracking data into organized datasets and visual representations.

• Lead analytical projects.

• Collaborate effectively with teams from Product, Data Science, MLOps, and ML/Search Engineering to enhance product and business results.

⛳️ Requirements

• Proficient hands-on experience in SQL and Python, particularly with Pandas.

• Strong foundation in statistical concepts.

• Capability to create clear and effective data visualizations.

• Familiarity with the e-commerce search funnel.

• Practical experience in query and ranking analysis, including zero results, reformulation, abandonment, position bias, CTR by position, and trade-offs between relevance and business objectives.

• Background in defining, monitoring, and interpreting CTR, PDP view rate, add-to-cart, conversion, revenue, and zero-results rate.

• Experience in designing and statistically assessing ML/search experiments across ranking, personalization, and recommendations.

• Proficiency with event-level data and server-side search logs.

• Experience in building multidimensional metrics layers and comprehensive analytical solutions at a large e-commerce scale.

• Ability to collaborate with Product Owners, Data Scientists, MLOps, and ML/Search Engineers.

• Proven capacity to lead senior-level initiatives and achieve measurable impacts on products and businesses.

• Proactive and inquisitive approach to complex challenges.

• Genuine passion for search, recommendations, ranking, personalization, and AI-driven product discovery.

• Regular utilization of AI tools to enhance productivity, automate tasks, facilitate decision-making, and deliver superior outcomes.

• Ability to use AI tools responsibly, including structuring effective prompts, critically assessing outputs, understanding limitations, and taking responsibility for the final result.

• Nice to have: Experience with GCP, distributed data systems, and analytical databases.

• Nice to have: Familiarity with NDCG, Recall@K, MRR, and MAP.

• Nice to have: Knowledge of information retrieval, recommender systems, or ranking models.

🏝️ Benefits

• Medical benefits.

• Gym support.

• Personalized fitness options.

• Team events.

• Healthy Habits Club.

• Flexible work-life dynamic.

• Mental wellbeing support.

• Social wellbeing initiatives.

• Community and connection activities in a hybrid environment.