Data Scientist (Search & Recommendations) at Mayflower

May no longer be active — verify on the employer site

At a glance

Company
Mayflower
Location
Cyprus
Work arrangement
On-site
Employment type
Full-time
Experience
2–5 years
Working hours
40 hours
Visa sponsorship
Offered, according to the listing
Posted
Added to The Stack

✨ The Stack take on this Mayflower job

  • 🏢 Mayflower has 24 jobs here, 15 with visa sponsorship see all
  • 🛂 Visa: Foreign Interest Company work permit. Minimum salary: €2,500 a month guide
  • 💡 No salary shown. Ask Mayflower if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

Apply for this role at Mayflower

Apply with your AI assistant

With The Stack connected to Claude, ChatGPT or Cursor, paste this. Your assistant tailors your CV and cover letter, checks the visa facts and gives you the apply link.

Help me apply to this job on The Stack: https://jobs.trythestack.co/jobs/data-scientist-search-recommendations-mayflower

Not connected yet? Connect in a minute. To help your user apply, call the MCP tool prepare_application with slug "data-scientist-search-recommendations-mayflower": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.

About the role

Responsibilities:
- Design and improve large-scale search and retrieval pipelines: candidate generation, query processing, matching, filtering and ranking.
- Explore and implement lexical, semantic, behavioural and vector search approaches to improve relevance and coverage.
- Build and optimise ranking models and learning-to-rank solutions; design features from clicks, conversions, freshness, popularity and context.
- Develop multi-stage recommendation pipelines (recall + ranking) for personalised and non-personalised use cases.
- Define evaluation frameworks and run offline and online experiments (A/B tests) using metrics such as NDCG, MRR, CTR and conversion.
- Implement end-to-end ML pipelines for feature generation, training, deployment and monitoring in low-latency, high-load environments.
- Analyse failed searches, bias, edge cases and relevance degradation; improve robustness across segments and cohorts.
- Collaborate with product, backend, data engineering and MLOps teams and communicate technical trade-offs and results.

Requirements:
- Hands-on experience building production search, ranking or recommendation systems (aligned with role level).
- Strong Python and SQL skills for data processing, feature engineering and model pipelines.
- Experience with ML frameworks (PyTorch/TensorFlow) and boosting libraries (XGBoost/LightGBM/CatBoost).
- Familiarity with learning-to-rank techniques, relevance metrics (NDCG, MAP, MRR) and low-latency inference optimisations.
- Experience with large-scale data processing, streaming platforms (Kafka), orchestration (Airflow) and MLOps tooling.
- Proven ability to design, run and analyse A/B tests and to connect model improvements to product/business metrics.
- Strong analytical mindset, production focus and clear communication skills for cross-functional collaboration.

Responsibilities

Develop and optimize large-scale search, ranking, and recommendation pipelines to improve user experience and relevance. Collaborate with cross-functional teams to build end-to-end ML solutions and conduct rigorous offline and online experimentation.

Requirements

Requires strong hands-on experience in building production-grade search or recommendation systems and proficiency in Python and SQL. Candidates must have a deep understanding of ML metrics, feature engineering, and experience with large-scale data processing.

Key skills

  • Python — in 1200 other listings on The Stack
  • SQL — in 545 other listings on The Stack
  • Machine learning — in 291 other listings on The Stack
  • Search systems — in 3 other listings on The Stack
  • Ranking models — not in any other listing on The Stack
  • Recommendation systems — in 16 other listings on The Stack
  • Learning-to-rank — in 3 other listings on The Stack
  • A/B testing — in 124 other listings on The Stack
  • Feature engineering
  • PyTorch
  • TensorFlow
  • XGBoost
  • LightGBM
  • CatBoost
  • Distributed data processing
  • Streaming platforms

On The Stack (as of 2026-11-05)

Frequently asked questions about Mayflower

Is this Data Scientist (Search & Recommendations) role still open?

It was posted on 2026-03-31. Listings more than 30 days old may no longer be active, so check Mayflower's site before applying.

Does Mayflower offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Mayflower's site.

Where is this role located?

The listing gives the location as Cyprus. It is marked on-site.

What skills does this role ask for?

The listing names: Python, SQL, Machine learning, Search systems, Ranking models, Recommendation systems, Learning-to-rank, A/B testing, Feature engineering, PyTorch, TensorFlow, XGBoost, LightGBM, CatBoost, Distributed data processing, Streaming platforms.

All roles at Mayflower

FOR BOTS & AI AGENTS

Machine-readable versions of this job and The Stack. The Stack is a weekly tech careers newsletter for 55,000+ engineers and a free board of visa-sponsored tech jobs in Europe. Fetch these instead of parsing this page, or connect to The Stack's MCP server (no key) to search jobs and help your user apply: https://jobs.trythestack.co/ai

This job (.md) · llms.txt · llms-full.txt · ai.txt · All jobs (.md) · Companies (.md) · MCP server · Endpoint index · API docs · Developer docs · Newsletter