Senior Data Scientist

About the company

Accesa is more than just a workplace; it’s a hub for tech enthusiasts who are passionate about using technology to solve real-world problems. With a customer-centric approach and a focus on growth, we offer an exciting and rewarding environment for IT professionals looking to make a real impact.

Responsibilities:

• Explore complex, multidimensional search data at large e-commerce scale, challenge assumptions, and generate new hypotheses and opportunities for search, recommendations, ranking, and personalization

• Conduct query-level analysis: zero-results, query reformulation/refinement, abandonment, head/tail behavior, and segmentation by query, category, and intent

• Conduct ranking analysis: position bias, CTR by position, and relevance vs. business metric trade-offs

• Define, track, and interpret search KPIs: CTR, PDP view rate, add-to-cart (A2C), conversion, revenue, and zero-results rate

• Design and evaluate online experiments for ML/search — ranking, personalization, recommendations, facets, and hybrid/vector search — with rigorous statistical evaluation

• Build end-to-end metrics layers: from raw event/tracking data through product-level datasets to clear visualizations

• Work hands-on with event-level and server-side search logs

• Collaborate closely with Product Owners, Data Scientists, MLOps, and ML/Search Engineers to build and improve analytical, statistical, and ML solutions that drive product and business KPIs

• Lead cross-functional analytical work at a senior level

Qualifications

Must have:

• Strong SQL and Python (Pandas) skills, backed by solid statistics — with the ability to produce clear visualizations (emphasis on SQL/Python/statistics rather than dashboarding tools)

• Familiarity with search funnel analytics and terminology: query, search results, PDP, add-to-cart (A2C), purchase

• Hands-on experience with query-level and ranking analysis (zero-results, reformulation, abandonment, position bias, CTR by…