Senior Data Scientist | Research, Code & Impact

Digital Turbine, Inc.
Austin, TX, United States
21 days ago
Apply on arc.dev
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Code Review Python (Programming Language) Apache Spark ONNX (Open Neural Network Exchange) Format

Job description

A True Problem Solver We’re looking for a Senior DS who thrives on End-to-End ownership. You aren’t just given a dataset; you identify the business opportunity, architect the mathematical solution, and write the high-quality, production-ready code that brings it to life. This is the ultimate “DS Candy Store” for those who love research but live for the adrenaline of seeing their code drive real revenue.

Requirements

  • Have AdTech experience and understand the thrill of low-latency environments and high-stakes auction dynamics
  • The Scientist-Engineer Hybrid: You have a 5+ year track record of delivering DS projects to production. An MSc/PhD in a quantitative field is a must
  • Tech Mastery: Expert-level Python (production-grade) and the ability to build for scale (Spark, ONNX - great advantage)
  • The “Nose for Value”: You are business-oriented and independent
  • You don’t just solve equations; you solve business problems and know how to measure your success
  • Mentor & Partner: You lead by example, elevating the team’s technical bar through code reviews and collaborative design

About the company

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., * End-to-End Ownership: Own the entire lifecycle: from defining the business problem and KPI to deploying and monitoring the solution in production

  • High-Scale Architecture: Design and implement ML models & handling high-cardinality data at massive scale
  • Engineering Excellence: Write clean, modular, and scalable code. We believe great Data Science is built on a foundation of great Software Engineering
  • Strategic Leadership: Mentor the team through complex technical hurdles and contribute directly to our algorithmic roadmap

Why Digital Turbine?

Because here, your impact is immediate and measurable. You’ll have the autonomy of a startup with the data-rich environment of a global giant. If you’re ready to move from the whiteboard to the “vein” of the product, let’s talk!

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:39 min

Addressing code review surrender and process exploitation

Laura Tacho Laura Tacho ¡ World Congress 2026 Europe

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy ¡ LIVE

1:17 min

Fabricated software updates for Python alongside lunar quarantine proposals

Chris Heilmann Chris Heilmann +1 ¡ LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt ¡ LIVE

56 sec

The hidden costs of delayed peer code reviews

Tim Gilboy Tim Gilboy

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

Videos

See all

Related articles

See all