Data Scientist at Digital Turbine Germany

Petah Tikva, Center District, Israel -

Full Time

Start Date

Immediate

Expiry Date

04 Apr, 26

Salary

0.0

Posted On

04 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, SQL, Statistics, Algorithms, Experimental Design, Ad-Tech, A/B Testing, Collaboration, Problem Framing, Model Development, Deployment, Monitoring, Iteration, Big Data

Industry

Advertising Services

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 ecosystem. Please note that Digital Turbine is a hybrid work environment-only candidates local to the posting location will be considered. At Digital Turbine, we connect people with apps and content. Our DT Exchange is the algorithmic heartbeat of a massive real-time marketplace, operating at a scale where "big data" is an understatement and "real-time" means millisecond-level constraints. The Role We’re looking for a Data Scientist who is a builder at heart to join the high-performance team behind the decision engines that power 100s of billions of daily transactions. This is a playground for the intellectually curious. You’ll have “kid in a candy store” access to the entire Digital Turbine data ecosystem. Your mission: hunt for new signals, fuse diverse datasets, and engineer features that give our exchange a significant competitive edge. If you get excited about designing complex models that have a direct and immediate impact on revenue, this is your home. What You’ll Do Design, Build & Deploy: Own the end-to-end lifecycle of machine learning models at a gargantuan scale (200B+ daily requests), optimizing everything from auction dynamics to user valuation. Outsmart the Competition: In our auction-based world, your model's edge directly translates into millions of dollars. You'll go head-to-head with other brilliant minds in the industry. Discover & Validate: Proactively explore our vast datasets to find untapped value. You'll then design and analyze large-scale A/B tests to prove your model's impact on live traffic. Collaborate for Impact: Work closely with engineers and product managers to see your data science solutions come to life and drive the business forward. Who You Are You have a 2+ year track record of owning end-to-end data science projects - from problem framing and model development to deployment, monitoring, and iteration - backed by an MSc in a quantitative field. You are a strong communicator and collaborator, able to translate complex data science concepts into clear recommendations for engineers, product managers, and other stakeholders. You have a deep, intuitive understanding of the Ad-Tech ecosystem (RTB, programmatic auctions). You possess strong foundations in algorithms, statistics, and experimental design, with expert coding skills in Python and SQL. You have a "nose for value" - an ability to connect data insights to commercial outcomes - and the self-motivation to achieve something remarkable. Bonus Points: Expertise with Spark or other big data technologies. 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. Digital Turbine will process the information you provide during the application process in accordance with the Digital Turbine Global Recruitment Privacy Notice. As a fast-growing public company, with a startup mindset, our values guide us and reflect how we operate as individuals, team members and as a company Find a Way. Creative solutions are part of our DNA, it’s a solution seeking mindset that gets the job done. Open to New Ways. We embrace our global teams and diverse perspectives. Having a global mindset is core to our mission and success. Be Your Way. We say what we mean and mean what we say by bringing our true self to work. We admit and learn from our mistakes. Own Your Way. Take ownership of responsibilities. You’re in the driver’s seat: See it, own it, solve it, do it. Work Your Way. We get it, a flexible environment makes balancing life and work easier. Choose the way you work best. Enjoy Your Way. We spend valuable time at work that's why we make sure to have fun by celebrating big and small wins.

Responsibilities

Design, build, and deploy machine learning models at a large scale, optimizing auction dynamics and user valuation. Collaborate with engineers and product managers to implement data science solutions that drive business impact.