DigitalTurbine Data Scientist Domain Expert 

Germany, Berlin, Berlin 

446616564

At

•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

• 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

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.