Senior Data Scientist – Search & Recommendations

Job not on LinkedIn

🔥 0 minutes ago

🇷🇴 Romania – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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accesa.eu

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

💼 Consulting

🏭 Manufacturing

🏥 Healthcare

Consulting • Manufacturing • Healthcare

Accesa is a leading technology company that has been a trusted IT partner since 2004. Specializing in custom software development, application modernization, cloud solutions, data analytics, AI, and cybersecurity, Accesa helps businesses across diverse industries including retail, manufacturing, and finance. The company is known for its customer-centric approach, providing tailored solutions that drive innovation and growth for its clients. With a focus on digital transformation, Accesa builds strong, flexible, and collaborative partnerships, ensuring high-quality service delivery and customer satisfaction. Their services span intelligent workplace solutions, business hyperautomation, and comprehensive managed operations, making Accesa a reliable choice for future-ready organizations.

📋 Description

• Analyze large-scale e-commerce search data to identify trends and improvement opportunities across search, ranking, recommendations, and personalization • Investigate search behavior, including zero results, query reformulation, abandonment, position bias, CTR, and relevance versus business trade-offs • Define and interpret search KPIs • Rigorously evaluate online experiments across ranking, personalization, recommendations, and hybrid or vector search • Build end-to-end metrics layers using event-level data and server-side search logs • Transform raw tracking data into clear datasets and visualizations • Lead analytical initiatives • Collaborate with Product, Data Science, MLOps, and ML/Search Engineering teams to improve product and business outcomes

🎯 Requirements

• Strong hands-on skills in SQL and Python, particularly Pandas • Solid statistical knowledge • Ability to create clear data visualizations • Familiarity with the e-commerce search funnel • Hands-on experience with query and ranking analysis, including zero results, reformulation, abandonment, position bias, CTR by position, and relevance versus business trade-offs • Experience defining, tracking, and interpreting CTR, PDP view rate, add-to-cart, conversion, revenue, and zero-results rate • Experience designing and statistically evaluating ML/search experiments across ranking, personalization, and recommendations • Proficiency with event-level data and server-side search logs • Experience building multidimensional metrics layers and end-to-end analytical solutions at large e-commerce scale • Ability to collaborate with Product Owners, Data Scientists, MLOps, and ML/Search Engineers • Ability to lead senior-level initiatives and deliver measurable product and business impact • Proactive and curious approach to complex problems • Genuine enthusiasm for search, recommendations, ranking, personalization, and AI-powered product discovery • Regular use of AI tools to improve productivity, automate or reduce repetitive work, support decision-making, and deliver higher-quality outcomes • Ability to use AI tools responsibly by structuring effective prompts, critically validating outputs, understanding limitations, and taking ownership of 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 • Personalised fitness options • Team events • Healthy Habits Club • Flexible work-life dynamic • Mental wellbeing support • Social wellbeing initiatives • Hybrid-environment community and connection activities