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DigitalTurbine Data Scientist Domain Expert 
Germany, Berlin, Berlin 
446616564

23.06.2024
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About the Role:
Building Machine Learning (ML) models and deploying them to production on a giant scale (we serve 2bn devices globally and handle 200bn requests every day).
Using ML models
which are at the heart of our technology platforms
to serve the following use-cases:
- Predicting mobile users' favourite games based on their gaming and behavioural history
- Predicting the value of the users' in-app transactions for mobile game developers
- Optimizing our bidding prices in real-time auctions (RTB)
- Optimizing infrastructure utilization
- Detecting and eliminating fraud
- Detecting image content in ads
Collaborating with super-smart employees from different domains - Backend, Data Engineering, Frontend, Product, Business and other Data Scientists who work on building ML models for our company
Working with the following cutting-edge technologies:
- AWS, GCP
- Google, BigQuery
- Databricks and Spark
- Python and classic ML libraries
- PyTorch, PyTorch Lightning
- Experiment Management platforms such as: MLFLOW, Optuna
About You:
• Demonstrated experience with AdNetwork is required
3 + years of experience in a Data scientist role
Coding in Python and SQL -
Experience with ML models around tabular datasets -
Experience with cloud environments
Experience with A/B testing and statistical analysis
Knowledge of basic and advanced concepts of Machine Learning
Fluent (native level) English language proficiency
Ability to collaborate with other engineers
Experience with ML models in production
Familiarity with Spark, Databricks, MLFLOW, and Big Data related technologies - a strong advantage
BSc in Computer Science/Engineering or related field with a focus on applied statistics, AI, machine learning or related fields

About Digital Turbine:
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 serving top agency, app developer, and advertising markets. Listed on Deloitte Technology Fast 500 for six consecutive years since 2015 and winner of Austin Chamber of Commerce’s Company Culture in 2020.