Master's or Bachelor's degree in a quantitative discipline (Statistics, Economics, Mathematics, Computer Science, Data Science)
4+ years of experience in advanced data analytics or data science
Deep knowledge of applied statistics including causal inference and A/B testing
Advanced SQL skills and proficiency in Python or R (Pandas, NumPy, SciPy, Statsmodels)
Experience in establishing data quality benchmarks and identity/measurement models
Strong communication skills for conveying statistical methodologies to diverse stakeholders
Experience in AdTech or related data-intensive fields is a plus
Responsibilities
Own and standardize methodologies for data quality and accuracy across billions of auction events
Design analytical methodologies for identity resolution and privacy-first measurement
Develop and validate frameworks for A/B testing and causal inference
Translate product roadmaps into analytical test beds and measurable KPIs for Product Managers
Write clean SQL queries and Python scripts for statistical solutions and metric pipelines
Benefits
Be part of a leading, fast-growing company in mobile advertising
Join a motivated and youthful team
Opportunity to travel to Barcelona HQ for collaboration after one year
Comprehensive medical, dental, and vision benefits
Exposure to global app publishers and media partners
Learning and training opportunities for career growth
Full Job Description
About the Role
We are looking for a Senior Data Scientist to lead the analytics initiatives that underpin our core product and platform integrity. In this role, you will be the primary technical authority for Data Science for Product, owning the frameworks for data quality, accuracy, identity resolution, and incrementality measurement.
You will collaborate closely with Product Managers and Platform Engineers to ensure our analytical signals are accurate, our identity graphs are reliable, and our causal experiment frameworks deliver verifiable business value. Responsibilities
Product Data Integrity: Own and standardize the methodologies for data quality, statistical anomaly detection, and accuracy across billions of daily auction events.
Identity & Attribution: Investigate and design analytical methodologies around identity resolution, cross-environment matching, and privacy-first measurement frameworks.
Experimentation & Incrementality: Develop, validate, and standardize frameworks for A/B testing, causal inference, and incrementality testing to prove genuine marketing lift.
Product Partnership: Act as the dedicated Data Science counterpart for Product Managers, translating product roadmaps into rigorous analytical test beds and measurable KPIs.
Advanced Analytics: Write clean, modular SQL queries and Python scripts to prototype statistical solutions, diagnostic frameworks, and metric pipelines before handing them off to platform engineering.
Requirements
Master's or Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Data Science, or a related quantitative discipline.
4+ years of professional experience in advanced data analytics, product analytics, or data science environments.
Deep knowledge of applied statistics: causal inference, experiment design (A/B testing), regression analysis, and metric variance estimation.
Advanced mastery of SQL and proficient data processing skills in Python or R (Pandas, NumPy, SciPy, Statsmodels).
Demonstrated experience establishing data quality benchmarks, defining source-of-truth metrics, or working on identity/measurement models.
Excellent communication skills, with an ability to justify statistical trade-offs and methodologies to product managers, engineers, and leadership.
Prior experience in AdTech, programmatic bidding, or user identity frameworks is a strong plus, but strong product analytics experience from other data-intensive fields (e.g., e-commerce, fintech, marketplaces) is welcomed.
Must be legally authorized to work in the United States without current or future sponsorship needs.
Please note that we do NOT provide VISA sponsorship. Candidates without a work authorization to work in the US won't be considered.What We Offer
Be part of a leading, fast-growing, innovative company shaping the future of mobile advertising.
Join a highly motivated and young team.
Possibility of traveling to the Barcelona HQ for collaboration and team-building activities after your first year.
Great compensation package tailored to the U.S. market.
Medical, dental, and vision benefits plans.
Exposure to leading global app publishers and media partners in the digital advertising industry.
Learning and training opportunities to grow your career.
