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4 дня назад

Senior Data Scientist

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
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:
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TL;DR
Senior Data Scientist (Causal Inference): Owning and evolving causal measurement practice for global marketing, with an accent on geo-based, time-based, and synthetic control experiments. Focus on applying econometric methods, building test-and-learn programmes, and translating incrementality evidence into marketing budget decisions.

Location: Hybrid work model; office-first company. Specific office location is not stated.

Company

Flix provides technology-driven travel services focused on making transportation more accessible, sustainable, and affordable.

What you will do

  • Own the design, execution, and improvement of geo-based, time-based, and synthetic control experiments across global markets and marketing channels.
  • Apply causal inference and econometric methods to measure the incremental impact of marketing activities on bookings and revenue.
  • Build and manage a test-and-learn programme across paid channels, prioritizing experiments by expected business value.
  • Contribute to CLV-MTA and media mix modelling attribution models and establish reliable benchmarks beyond platform-reported data.
  • Translate causal findings into recommendations for marketing, finance, and senior management stakeholders.
  • Review experiment designs, maintain documentation, and help define internal marketing-effectiveness measurement standards.

Requirements

  • Master’s or PhD in Statistics, Econometrics, Applied Mathematics, Data Science, or a related quantitative field.
  • 5+ years of experience in data science or quantitative research, including causal experiment design and evaluation.
  • Strong command of difference-in-differences, synthetic control, Bayesian structural time series, or matched market testing.
  • Proficiency in Python, SQL, and Power BI, with experience using statistical modelling libraries such as statsmodels, PyMC, or CausalImpact.
  • Experience with Git, reproducible workflows, and cloud or data warehouse environments such as BigQuery or Snowflake.
  • Ability to present statistical findings to non-technical audiences and support strategic decisions with data.

Nice to have

  • Experience in marketing measurement, media mix modelling, or growth reporting.
  • Familiarity with Bayesian methods.

Culture & Benefits

  • Hybrid, office-first work model with flexibility to balance work and life.
  • Option to work from another location for up to 60 days per year, depending on the role.
  • Travel benefits including 12 free Flix vouchers and 12 discount vouchers for friends and family.
  • Confidential counselling, courses, and stress-management support for employees and up to four family members.
  • Language classes, training courses, expert-led sessions, and a mentoring programme.

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†’