4 Π΄Π½Ρ Π½Π°Π·Π°Π΄
Senior Data Scientist
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
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
- Masterβs 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.
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
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