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19 часов Π½Π°Π·Π°Π΄

Senior Data Scientist (Rankings)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Germany
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify RU Global, списка ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ с восточно-СвропСйскими корнями
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

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TL;DR

Senior Data Scientist (Rankings): Develop and optimize ranking and recommendation ML models to improve guest and host experiences on a vacation rental platform with an accent on model reliability, experimentation, and MLOps. Focus on designing advanced statistical models, shipping high-impact ML features, and collaborating cross-functionally to drive business impact.

Location: Hybrid setup in Munich, Germany with 50% in-office time and flexibility to work from inspiring locations up to 8 weeks per year

Company

hirify.global is a fast-growing vacation rental technology company focused on improving booking and hosting experiences for millions of guests and thousands of hosts worldwide.

What you will do

  • Ship high-impact ML features across ranking, recommendations, retention, and revenue management to drive key business metrics.
  • Accelerate experimentation and decision quality through A/B testing and hypothesis coverage.
  • Ensure model reliability in production with monitoring, SLAs, and drift detection.
  • Advance MLOps practices including CI/CD pipelines and retraining workflows.
  • Collaborate with cross-functional teams to identify opportunities and solve business challenges using data science.
  • Design and implement advanced statistical and ranking models, taking them from conception to production.

Requirements

  • Location: Must be able to work hybrid in Munich, Germany with 50% office presence
  • 4+ years experience as a Data Scientist applying ML to business problems.
  • Degree in Machine Learning, Computer Science, Mathematics, Physics, or related field.
  • Strong skills in statistics, predictive modeling, machine learning, Python, and SQL.
  • Experience with ranking models or recommender systems is a strong advantage.
  • Familiarity with Airflow and dbt is a plus.
  • Comfortable using AI tools to enhance workflows and teach others.

Nice to have

  • Experience with MLOps tools like MLflow and AWS SageMaker.
  • Understanding of business operations and translating data insights into actionable outcomes.

Culture & Benefits

  • Impactful work shaping travel products used by millions.
  • Professional growth with mentorship and personal learning budgets focused on AI.
  • International, motivated, and supportive team culture.
  • Modern tech environment combining scale-up pace with business stability.
  • Flexible hybrid work with travel opportunities and up to 8 weeks remote from inspiring locations.
  • Additional perks like travel benefits and gym discounts.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли вас просят Π²ΠΎΠΉΡ‚ΠΈ Π² 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†’