Data Scientist (Growth)

The role

You will predict customer lifetime value and lifetime gross profit to guide acquisition, pricing, and sales investment. You will build and improve models, ship bidding signals to Meta and Google, and connect customer economics to financial planning.

What you will do

• Build and improve customer LTV and LTGP models.
• Ship LTGP as the live bidding signal in Meta and Google.
• Validate predictions through backtesting, calibration, and uncertainty quantification.
• Guide acquisition and pricing recommendations.
• Model attribution and incrementality using experiments and causal methods.
• Connect customer economics to financial planning scenarios.
• Build tested, reproducible Python code and customer-lifecycle dashboards.
• Partner with growth, sales, finance, and the Data Engineer on datasets and metric definitions.

Required qualifications

• Strong statistical and quantitative modeling skills.
• Knowledge of model validation including backtesting, calibration, and uncertainty estimation.
• Depth in experimentation and causal inference.
• Advanced SQL.
• Strong Python engineering skills.
• Commercial judgment.
• Ability to use coding agents in daily workflow.
• Based in Warsaw or willing to relocate.

Nice to have

• Background in quantitative research, statistics, econometrics or another field where predictions are rigorously tested against outcomes.
• Experience with customer lifetime value, survival or retention modeling, and SaaS or usage-based economics.
• Experience running incrementality tests or building marketing-mix models on real ad spend.
• Experience building something with LLMs that went beyond a demo.

About the company

Viktor is the AI employee that lives in Slack and Microsoft Teams, connects to thousands of tools, and does the work: reports, dashboards, code, campaigns. Their mission is to give every company an AI employee.