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.
Israel - Petah Tikva
Open 5 months, first seen by us 175 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s 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
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
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
- 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)
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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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
Complete your application on digitalturbine.wd501.myworkdayjobs.com. The employer’s form will show what is required.
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New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
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.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
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.
- 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)
No clear work-authorization passage found. Eligibility is unconfirmed.