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Senior Data Scientist | Research, Code & Impact

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Own the full lifecycle from business problem and KPI to production monitoring

  • Design and implement ML models for high-cardinality data at massive scale

  • Write clean, modular, scalable production code

  • Mentor the team and contribute to the algorithmic roadmap

From the employer’s posting
Own the entire lifecycle: from defining the business problem and KPI to deploying and monitoring the solution in production
Design and implement ML models & handling high-cardinality data at massive scale
Write clean, modular, and scalable code
Mentor the team through complex technical hurdles and contribute directly to our algorithmic roadmap

What you’ll bring

All qualifications

Core experience

  • 5+ years delivering data science projects to production
  • MSc or PhD in a quantitative field
  • Expert-level production-grade Python
  • AdTech experience with low-latency environments
  • Business-oriented and independent, able to measure success
Qualification wording
You have a 5+ year track record of delivering DS projects to production
An MSc/PhD in a quantitative field is a must
Expert-level Python (production-grade)
Have AdTech experience and understand the thrill of low-latency environments
You are business-oriented and independent
Education & alternatives
- 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)
Apply at Digital Turbine

Posting record

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Open 5 monthsWe first saw this posting 175 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
May 18, 2026175 days ago
Recorded sightings
110
Last seen by us
Nov 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 175

Up longer than most. Similar jobs usually come down between day 7 and day 57.

From 10,789 similar postings that came down. Coming down is not always a hire.

Digital Turbine is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

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  • Python
  • Spark
Where the posting names them
- 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

Your next step

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About Digital Turbine

People
About 620 in 2026, down 4% from the year before.Annual report (SEC Form 10-K)
Company
Listed as APPS.

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,408, the most 2,964, and the latest week had 2,139.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

DT (NASDAQ: APPS) is unifying the full mobile experience. Our growth platform powers the mobile ecosystem by bringing together advertisers, app developers, and device partners, to create a unique and premium value exchange, that results in a personalized and seamless mobile device experience.


At DT, we move fast, think big, and build collaboratively. We believe great ideas can come from anywhere, and we trust our teams to take ownership, challenge convention, and make an impact from day one.


Here, you’ll have the opportunity to grow your career while contributing to products and experiences used by millions around the world.

With us, you will enjoy competitive compensation, equity awards, and a comprehensive benefits package designed to invest in your total well-being, all within a hybrid and flexible work environment.

The Mission:
Engineering the Brain of DT Exchange At Digital Turbine, "Real-Time" is our reality - handling billions of events with millisecond-level constraints. Our DS team doesn't just build models; we build the algorithmic heartbeat of a massive global marketplace. We are currently in a peak phase of infrastructure evolution, and we need a Senior partner to help lead the charge.


The Role:
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.
 

Who You Are:

  • 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

What You’ll Do:

  • 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!

DT (NASDAQ: APPS) is a mobile growth platform that powers superior experiences and outcomes for advertisers, app developers, carriers, OEMs, and publishers worldwide.


Our technology connects brands and apps with consumers across devices, apps, and mobile environments — helping partners drive awareness, acquisition, engagement, and monetization through intelligent, integrated experiences.


Headquartered in Austin, Texas, DT operates globally across North America, EMEA, APAC, and LATAM.


DT is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We welcome people of different backgrounds, experiences, abilities, and perspectives, and believe teams with different points of view build better products, ideas, and experiences.

Source details

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Location & working pattern

Israel - Petah Tikva

Here, you’ll have the opportunity to grow your career while contributing to products and experiences used by millions around the world. With us, you will enjoy competitive compensation, equity awards, and a comprehensive benefits package designed to invest in your total well-being, all within a hybrid and flexible work environment. The Mission: Engineering the Brain of DT Exchange At Digital Turbine, "Real-Time" is our reality - handling billions of events with millisecond-level constraints. Our DS team doesn't just build models; we build the algorithmic heartbeat of a massive global marketplace. We are currently in a peak phase of infrastructure evolution, and we need a Senior partner to help lead the charge.
More source context
- 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)
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