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

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 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, delivering solutions that impact product/business KPIs; 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: ability to dive into complex problems, explore data, and challenge assumptions
• Genuine enthusiasm for search, recommendations, ranking, personalization, and AI-powered product discovery; curiosity about how customers search, browse, and compare

• 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)

We nurture genuine connections, encourage an active lifestyle, and support the development of a healthy mindset. Our benefits programme is inspired by Maslow’s hierarchy of needs and is designed to prioritize your overall wellbeing.

To live a wholesome experience inside and outside our offices, we need to take care of our overall wellbeing, from the physical aspect to creating a healthy work-life fusion and looking at learning as a lifelong journey and a shared responsibility between our people and our organization.

• Physical Wellbeing: Our wellbeing program includes medical insurance, In-house fitness trainer available remotely and 1 on 1 remote sessions with our Sports and Health Coach focused on nutrition counselling and tailored training plans.

• Work-Life Fusion - Start with at least 21 vacation days (based on seniority) and earn 1 extra day for each completed year of collaboration - up to 29 days - depending on your tenure in the company and/or industry. Enjoy the flexibility to work from both home and the office.

• Growth opportunities: we focus on long-term learning programmes that develop both technical and non-technical skills incrementally. Together with your Career Coach you will discuss what are learning resources and platforms you can access in order to develop your skills.