Data Scientist (Search & Recommendations)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Location: Hybrid work from the Kaunas or Vilnius office in Lithuania; two office days per week are recommended but not enforced
Salary: β¬3,233ββ¬6,233 gross per month
Company
operates a peer-to-peer marketplace for second-hand fashion and lifestyle items, with marketplace, shipping, and payment businesses across Europe.
What you will do
- Build and optimize end-to-end machine learning models for retrieval, ranking, personalization, and recommendation systems.
- Deploy models with platform and software engineers in search and recommendation engines, targeting high throughput and millisecond-level latency.
- Design modeling approaches, features, and training pipelines through collaborative technical proposals.
- Define tracking requirements, run offline evaluations, and design and analyze online A/B tests.
- Translate product opportunities and business problems into ML objectives while aligning technical trade-offs with Data, Engineering, and Product stakeholders.
- Share knowledge, participate in peer reviews, and contribute to the ML Guild and Data Science & Analytics function.
Requirements
- Production experience designing, training, and deploying machine learning models, ideally for search, recommendations, or large-scale personalization.
- High proficiency in Python and SQL, with experience using deep learning frameworks and gradient boosting libraries.
- Understanding of information retrieval, Learning-to-Rank, semantic search, or sequence-based user preference modeling.
- Experience or strong interest in high-performance model serving and working with massive datasets in cloud-based data warehouses.
- Strong knowledge of statistics, offline evaluation metrics, and online A/B testing methodologies.
Nice to have
- Familiarity with Vespa or Elasticsearch and serving frameworks such as Triton.
Culture & Benefits
- Hybrid workplace model with team-agreed office days and home-office equipment support.
- β¬540 personal budget for home workplace furniture.
- 25 working days of holiday and private health insurance.
- Annual individual learning budget for courses, certifications, and workshops.
- Digital mental and emotional health support, Employee Assistance Program, and team-building events.
- Share options programme, shopping budget, dog-friendly offices, and workation for up to 90 days per year, including up to 21 days outside the EU.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β