Senior Marketing Data Scientist: Causal Growth Experiments

Félix; Warsaw (IN); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Travel perks

Hybrid work model

Wellbeing support

Learning & Development

Mentoring Program

Job summary

Flix is seeking a Senior Data Scientist to own causal measurement across our global marketing efforts. You will design geo-based, time-based, and synthetic control experiments, apply DiD, synthetic control, and Bayesian time series to quantify marketing impact on bookings and revenue, and drive how we allocate budgets.

You will collaborate with Marketing & Sales, Revenue Management, Reporting, and Engineering to build robust test programs, validate attribution models, and translate findings into

Qualifications

• Requires Master's or PhD in Statistics, Econometrics, Applied Mathematics, Data Science, or related field.
• 5+ years in data science/quantitative research with causal experiments experience.
• Strong command of causal inference methods (DiD, synthetic control, Bayesian TS, etc.).

Responsibilities

• Own design, execution, and improvement of geo-, time-based, and synthetic control experiments across global markets.
• Apply econometric techniques to measure incremental effects of marketing on bookings and revenue.
• Build and manage a test-and-learn program across paid channels and improve attribution models.
• Translate complex causal findings into actionable recommendations for diverse stakeholders.

Skills

Causal inference

Experiment design

Data storytelling

Statistical modelling

Education

Master's or PhD in a quantitative field

Tools

Python

SQL

Power BI

statsmodels

PyMC

CausalImpact

Git

BigQuery

Snowflake

Job description

Flix is seeking a Senior Data Scientist to own causal measurement across our global marketing efforts. You will design geo-based, time-based, and synthetic control experiments, apply DiD, synthetic control, and Bayesian time series to quantify marketing impact on bookings and revenue, and drive how we allocate budgets.

You will collaborate with Marketing & Sales, Revenue Management, Reporting, and Engineering to build robust test programs, validate attribution models, and translate findings into