Data Scientist (Search & Recommendations)

Location: Cyprus, with relocation to Limassol and a 3-year Cyprus work visa

Company

hirify.global is a technology company building high-load products used by millions of people worldwide, including real-time entertainment solutions for a global audience.

What you will do

• Develop and improve retrieval pipelines for large-scale production search systems, including candidate generation, query processing, matching, filtering, and hybrid lexical-semantic retrieval.
• Build, train, and optimize ranking models for search and recommendation systems using behavioral, content-based, contextual, and real-time features.
• Develop multi-stage recommendation pipelines for related-item, complementary-item, next-action, and behavioral use cases.
• Design and analyze offline and online experiments, including A/B tests using relevance, engagement, conversion, retention, and revenue metrics.
• Build end-to-end ML pipelines for feature generation, training, validation, deployment, and monitoring.
• Collaborate with product, backend, data engineering, and MLOps teams to productionize ML solutions for high-load, low-latency systems.

Requirements

• Hands-on experience building production search, ranking, or recommendation systems.
• Strong Python and SQL skills for machine learning, data processing, and analytical queries.
• Practical experience with learning-to-rank, candidate retrieval, search relevance, or recommender-system modeling.
• Experience building and evaluating multi-stage retrieval and ranking pipelines, including metrics such as Precision, Recall, NDCG, MAP, MRR, CTR, and conversion.
• Experience with feature engineering, behavioral data, large-scale production systems, distributed data processing, analytical databases, and streaming platforms.
• Relocation to Cyprus is supported, including a Cyprus work visa and assistance for the candidate's family.

Nice to have

• Experience with Elasticsearch, OpenSearch, Solr, Lucene, vector databases, approximate nearest neighbor search, or hybrid retrieval.
• Experience with query understanding, classification, spell correction, synonyms, or query expansion.
• Experience with DSSM, two-tower models, BERT-based ranking, cross-encoders, Airflow, or MLflow.

Culture & Benefits

• EU-based employment contract with a full relocation package, including flights and a company-covered apartment for the first month.
• Private medical insurance for the employee and family, a corporate mobile plan, and interest-free support for car purchases.
• Provident fund, performance reviews twice a year, bonus opportunities, and salary adjustments.
• Well-being support, psychological assistance with 50% coverage, sports benefits, and family education support covering 50% of school and kindergarten fees.
• Paid language courses and development programs, including conferences, training, and coaching.
• Fully equipped office in Limassol city center with free catering, coffee bar, health bar, team buildings, and hackathons.

Hiring process

• HR interview: 40 minutes.
• Technical interview: 1.5 hours.
• Final interview: 45 minutes.