Senior Product Data Scientist

November 5, 2026

Hybrid

Senior

Warsaw, Poland

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Mandatory office attendance

Description

The Data Science team informs company strategy, defines success metrics, and finds new ways to deliver user value through experimentation, causal inference, statistical and machine learning techniques, and data storytelling. In this Senior Product Data Scientist role you will partner with Product, Business, Design, and Engineering to deepen understanding of customers and drive business outcomes. The position is based in the Warsaw office with an office-centric hybrid schedule and focuses on analyses for the Mobile team.

Responsibilities

Design and analyze experiments and causal analysis to ship impactful product changes that help customers find what they need for the Mobile team
Proactively take on analyses and develop compelling narratives that inform product strategy and influence business and roadmap decisions
Define and add new metrics to track success of enterprise products and publish them to the data warehouse
Build dashboards to highlight impact potential and other areas of opportunities
Communicate effectively and present to both technical and non-technical audiences
Establish the Data Science presence in a new office and provide mentorship as the office grows

Requirements

Bachelor Degree in Math, Statistics, Economics, Computer Science, Engineering, a related quantitative field, or equivalent experience
7+ years of experience applying data science techniques to drive technical product development and decision-making
Strong technical background in statistics, math, computer science, information science, or another quantitative field
Fluency in at least one data processing and programming language such as Python or R, relational data modeling and SQL, and familiarity with distributed data processing systems such as Spark and Redshift
Expertise in statistical methods and experimental design and analysis
Background in advanced statistical modeling such as GLM and mixed effects and/or machine learning
Excellent written and verbal communication skills
Ability to collaborate effectively with peers and leaders across data science, design, and engineering organizations
Demonstrated curiosity about AI tools and emerging technologies with willingness to learn and leverage them

Conditions

Office-centric hybrid schedule with standard in-office days Monday, Tuesday and Thursday
Contract of Employment with an option of 50% tax deductible costs for author's rights usage in respect of applicable roles
Health insurance with dental and travel coverage through Lux Med
Lunch catering on the days that you work from the office
Career growth budget
Home office setup budget
Gym and fitness reimbursement
Fertility healthcare and family-forming support with Carrot
Mental health support through Modern Health
Group life insurance
MacBooks with all necessary accessories
Additional compensation components such as equity may be included in the total package
Full-time employment