Senior Data Scientist

September 18, 2026

Hybrid

Senior

Important before applying

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Mandatory office attendance

Description

Accesa is hiring a Senior Data Scientist to work with complex, multidimensional search data at large e-commerce scale. The role covers query-level and ranking analysis, search KPIs, and online experimentation for ML/search, ranking, personalization, and recommendations. The position involves building end-to-end metrics layers, working with event-level and server-side search logs, and leading cross-functional analytical work together with Product Owners, Data Scientists, MLOps and ML/Search Engineers.

Responsibilities

Explore complex, multidimensional search data at large e-commerce scale and generate new hypotheses 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
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 analytical, statistical, and ML solutions
Lead cross-functional analytical work at a senior level

Requirements

Strong SQL and Python (Pandas) skills backed by solid statistics
Ability to produce clear visualizations with 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 position, relevance vs. business trade-offs
Experience defining, tracking, and interpreting search KPIs: CTR, PDP view rate, A2C, conversion, revenue, zero-results rate
Experience with online experimentation for ML/search, including statistical evaluation of ranking, personalization, and recommendation experiments
Proficiency working with event-level and server-side search logs
Proven record of cross-functional collaboration with Product Owners, Data Scientists, MLOps, and ML/Search Engineers
Ability to lead cross-functional work at a senior level
Experience building complex, multidimensional metrics layers and delivering end-to-end analytical/statistical/ML solutions
Comfort with search data at large e-commerce scale
Proactive mindset to dive into complex problems, explore data, and challenge assumptions
Genuine enthusiasm for search, recommendations, ranking, personalization, and AI-powered product discovery

Conditions

Medical insurance included in the wellbeing programme
In-house fitness trainer available remotely and 1 on 1 remote sessions with Sports and Health Coach
At least 21 vacation days based on seniority, earning 1 extra day per completed year up to 29 days
Flexibility to work from both home and the office
Long-term learning programmes developing technical and non-technical skills
Career Coach to discuss learning resources and platforms for skill development

MS SQLPythonPDPGCPNDCGMRRe-commerce

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