Data Scientist (Help Experience)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Data Scientist (Help Experience): Develop and deploy automated machine learning systems to measure support quality and analyze member interactions with an accent on scalable model deployment and interpretability. Focus on building systems that identify causes of support issues using LLMs and weak supervision techniques.
Location: Hybrid work with recommended 2 days in office in Vilnius or Kaunas, Lithuania
Salary: β¬4,608 - β¬6,233 gross per month
Company
is Europeβs leading second-hand fashion marketplace with a mission to make second-hand the first choice, operating across 20+ markets with over 2,000 employees and headquarters in Vilnius, Lithuania.
What you will do
- Design and implement automated quality scoring models for support interactions.
- Use LLMs to analyze free-text support messages for sentiment and clarity without creating black-box models.
- Apply weak supervision and expert rules to build models with imperfect data.
- Collaborate with engineering and data platform teams to operationalize data science products.
Requirements
- Location: Hybrid work with office presence recommended in Vilnius or Kaunas, Lithuania
- Strong experience in machine learning algorithm development and pragmatic problem solving.
- Proficiency in Python and SQL with clean, maintainable code practices.
- Ability to communicate complex technical concepts clearly to non-technical stakeholders.
- Fluent written and spoken English (C1 level)
Culture & Benefits
- Share options program and 25 working days of holiday.
- Home office support with equipment and furniture budget.
- Private health insurance and mental health support via Mindletic app.
- Flexible hybrid work model with team-decided office days.
- Personal monthly shopping budget on and frequent team-building events.
- Dog-friendly office with gym and in-house meals in Vilnius; lunch allowance and weekly meals in Kaunas.
- Annual individual learning budget for professional growth.
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