Senior Data Scientist

October 18, 2026

Hybrid

Senior

Warsaw, Poland

Description

DT (NASDAQ: APPS) is a mobile growth platform uniting advertisers, app developers, carriers, OEMs, and publishers. The Senior Data Scientist partners with engineering, product, and business leaders to turn proprietary device-level data into insights, models, and experiments that optimize the marketplace. The role covers bidding efficacy, audience curation, measurement, attribution, and a centralized experimentation platform.

Responsibilities

Frame ambiguous business problems as crisp, testable data and modeling questions that inform product and commercial strategy
Design and analyze experiments (A/B and beyond) and help establish centralized experimentation tracking as a single source of truth
Build statistical and ML models for audience segmentation, bid/UA optimization, lifetime value, and measurement/attribution
Develop time-series and real-time event understanding that improves recommendations and bidding
Partner with ML and Data Engineering to productionize models and feed insights into the Next Best Action framework
Communicate findings clearly to technical and executive audiences, and mentor other analysts and scientists

Requirements

8+ years in data science or quantitative analysis, ideally in AdTech, marketplaces, or consumer-scale products
Strong foundations in experimental design, hypothesis testing, causal inference, and statistical/ML modeling (regression, classification, clustering, time-series)
Fluency in SQL and Python (or R), and comfort working with large-scale data in cloud data warehouses / lakes
Distinctive problem-solving skills and the ability to translate analysis into business recommendations
Excellent written and verbal communication, including the ability to influence senior stakeholders
Experience with Databricks, Spark, or semantic-layer / metrics platforms
Background in bidding, auctions, recommendation, or measurement/attribution
Experience standing up experimentation tooling or analytics infrastructure