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Warszawa, województwo mazowieckie, Polska
Hybrid
At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem.
Please note that Digital Turbine is a hybrid work environment-only candidates local to the posting location will be considered.
Join our expert Machine Learning team as a Lead Data Scientist to solve complex problems and deploy cutting-edge ML solutions at a massive scale. In this role, you will leverage our ML platform to influence and optimize models handling terabytes of data across 2B mobile devices, driving real product impact and seeing the instant results of your work.
Why Join Us? At Digital Turbine, we invest in our people. Join us and enjoy a premium compensation package including:
Competitive salary and RSU program (stock options)
A hybrid work model and a time-off policy to keep you refreshed
Comprehensive family medical insurance and a flexible tech & wellness allowance
At Digital Turbine, we are committed to pay transparency and equitable compensation. The salary range for this position is 22,000-32,000 PLN gross/month.
Working closely with Product and Engineering teams to define and deliver ML Roadmap according to Product priorities
Leading ML projects from research to implementation, coordinating work of cross-functional teams
Working with the following cutting-edge technologies:
GCP/ Google Big Query
Databricks and Spark
Python, ML libraries
PyTorch, PyTorch Lightning
Experiment Management platforms such as: MLFLOW, Optuna
Contributing to the development of ML Platform we are building with the goal to improve existing algorithms and build new solutions across DT Products
5+ years of experience in data science / ML
Experience within AdTech, Mobile Gaming industry or Consulting - a strong advantage
Proven track record of projects that resulted in measurable business impact
Experience with team leadership highly desired
Excellent communication skills
Working knowledge of ML Tech stack
Self motivation to achieve something remarkable
Bachelor degree in computer science, mathematics, or related field
Proficient communication in English is a must
About Digital Turbine:
Digital Turbine (NASDAQ: APPS) powers superior mobile consumer experiences and results for the world’s leading telcos, advertisers and publishers. Our end-to-end platform uniquely simplifies the ability to supercharge awareness, acquisition and monetization — connecting our partners to more consumers, in more ways, across more devices.
The company is headquartered in Austin, Texas, with global offices in New York, Los Angeles, San Francisco, London, Berlin, Singapore, Tel Aviv, and other cities around the world, serving top agency, app developer, and advertising markets.
We are honored to have achieved numerous awards as an employer of choice, around the world, including: BuiltIn's Best Places to Work Awards in 2022, 2023 and 2024, DUNS 100 Best Places to Work in Tech for 2023 and 2024, and BDICode's 100 Best Companies to Work in 2024.
Digital Turbine is an equal opportunity employer committed to exemplifying diversity and inclusion around the world. We welcome people of different backgrounds, experiences, abilities, and perspectives. We embed diversity in our mindset, products, and teams to empower an inclusive, equitable, and culturally fluent environment. Building and continuously fostering this culture within our teams makes us better collaborators, partners, and innovators.
Digital Turbine will process the information you provide during the application process in accordance with the Digital Turbine Global Recruitment Privacy Notice.