Description
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 eco systems .
The Team
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.
The Role & Opportunity for You
We are currently looking for a Senior Data Scientist to help us deliver value for DT’s products through our ML platform that handles TB datasets across over 2B mobile devices. Since we’re a product company, you will have a unique opportunity to influence the way we develop and optimize our models and algorithms and see the real monetary value of all the changes you’ll be making and experiments you’ll be performing.
Duties and responsibilities
- 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 SparkPython, 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
Skills and experience
- 3+ years of experience in data science / ML
- Good coding skills in Python and SQL Cloud computing, preferably GCP
- Experience with Spark - a strong advantageFamiliarity 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
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