Назад
Company hidden
4 часа Π½Π°Π·Π°Π΄

Data Scientist (Search & Recommendations)

3Β 233 - 6Β 233€
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Lithuania
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
/
TL;DR
Data Scientist (Search & Recommendations) (Machine Learning, Information Retrieval): Building and optimizing production machine learning models for search retrieval, ranking, and personalized recommendations with an accent on real-time serving, high throughput, and millisecond-level latency. Focus on designing modeling and training approaches, evaluating offline metrics, analyzing online A/B tests, and translating product opportunities into scalable ML solutions.

Location: Hybrid work from the Kaunas or Vilnius office in Lithuania; two office days per week are recommended but not enforced

Salary: €3,233–€6,233 gross per month

Company

hirify.global 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.
  • €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, hirify.global shopping budget, dog-friendly offices, and workation for up to 90 days per year, including up to 21 days outside the EU.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’