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.
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' favorite 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 super-smart employees from different domains and countries - Backend, Data & ML Engineering, Frontend, Product, Business and 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 LightningExperiment Management platforms such as: MLFLOW, Optuna
Skills and experience
- 5+ years of experience in data science / ML
- Excellent coding skills in Python and SQL Cloud computing, preferably GCP
- Experience with large transactional datasets using Spark Experience in the AdTech industry/Digital Media/E-commerce - highly desired
- Familiarity with Databricks - a strong advantageExperience with A/B testing and other ML Ops components / ML Flow - an 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.
To view our Global Recruitment Privacy Notice, please click here.
Notice to External Staffing Agencies, Placement Services, and Professional Recruiters ("Agencies"):
Digital Turbine will not pay fees for any hires resulting from unsolicited resumes. To protect all parties involved, we only accept resumes submitted directly by candidates. Any unsolicited resumes sent to Digital Turbine, its affiliates, subsidiaries, or employees, through any method (mail, email, etc.), will be considered the property of Digital Turbine and free of any associated fees.
Agencies must obtain prior written approval from Digital Turbine's Talent Acquisition team before submitting any candidate resumes. Resumes may only be submitted in connection with a valid, fully executed contract for services and in response to a specific statement of work. Without such an agreement in place, Digital Turbine will not be responsible for any fees related to submitted candidates.
Agency agreements are only valid if they are in writing and signed by a Digital Turbine officer or an authorized designee. No other Digital Turbine employee has the authority to bind the company to any agreement regarding candidate placement by agencies. Digital Turbine specifically rejects any liability under agreements accepted by negative consent, candidate negotiation, performance, or any means not explicitly outlined above.
.png)
