Data Scientist

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.

Our Machine Learning Team plays a pivotal role to deliver on the Company mission. We are a group of research, data science, statistical modeling and machine learning experts driven by passion to solve complex problems and impact we make. We use cutting edge technologies to turn the data into ML solutions deployed across our Products.
 

• Building ML models and deploying them to production on a giant scale to serve the following batch and online use-cases:

  • Predicting mobile users' favorite apps based on their behavioral history

  • Predicting the value of the users'  in-app transactions for mobile app developers

  • Optimizing our bidding prices in real-time auctions (RTB)

  • Optimizing infrastructure utilization

  • Detecting and eliminating fraud

• Performing investigations in the case of incidents and finding the root cause of the problems that may occur in our systems. This requires the ability to see the big picture of our products and systems and being able to use all the dependencies between them to find the least obvious reasons for the problems and fix them.

• Collaborating with other Data Scientists who work on ML models for our company

• 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
   

• 2+ years of experience in data science / ML

• Additional work experience with proven experience with solving business problems - a strong advantage.

• Good coding skills in Python and SQL 

• Cloud computing, preferably GCP

• Experience with Spark - a strong advantage

• Familiarity with Databricks  - a strong advantage

• Ability to work independently

• Ability to develop solutions that bring value to the company

• 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.

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