Senior Data Scientist

Posted 6 Hours Ago
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Petah Tikva, ISR
In-Office
Senior level
AdTech
Awarded Best Places to Work in Austin, Los Angeles, New York, San Francisco, Seattle and Washington DC by Built In!
The Role
Lead data science efforts to design experiments, build statistical and ML models (segmentation, bidding, LTV, attribution), develop time-series and real-time analyses, productionize models with engineering, and communicate results to guide product and commercial strategy.
Summary Generated by Built In

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.

We’re always on the lookout for great engineering talent!We want to learn about your passion and skills, and find the best match for you. Join our talent community by applying here, and let’s stay connected for active and future roles.The Role

Digital Turbine has every ingredient of a marketplace business — advertisers, publishers, OEMs, carriers, consumers, devices, and proprietary device-level data. Our job in Data Science is to turn that raw advantage into intelligence: the insights, models, and experiments that optimize the marketplace and prove the value we create.

As a Senior Data Scientist, you'll partner with engineering, product, and business leaders to drive analysis that shapes strategy — from bidding efficacy and audience curation to measurement, attribution, and our centralized experimentation platform. You'll help DT build a culture of continuous, evidence-based improvement across every product surface.

About the Senior Data Scientist Role
  • Frame ambiguous business problems as crisp, testable data and modeling questions, and deliver analysis that informs product and commercial strategy

  • Design and analyze experiments (A/B and beyond) and help establish DT's centralized experimentation tracking — a single source of truth for hypotheses, results, and decisions

  • Build statistical and ML models for audience segmentation, bid/UA optimization, lifetime value, and measurement/attribution

  • Develop time-series and real-time event understanding that improves the timeliness and relevance of recommendations and bidding

  • Partner with ML and Data Engineering to productionize models and feed insights into the Next Best Action framework

  • Communicate findings clearly to technical and executive audiences, and mentor other analysts and scientists

About You as the Senior Data Scientist
  • 8+ years in data science or quantitative analysis, ideally in AdTech, marketplaces, or consumer-scale products

  • Strong foundations in experimental design, hypothesis testing, causal inference, and statistical/ML modeling (regression, classification, clustering, time-series)

  • Fluency in SQL and Python (or R), and comfort working with large-scale data in cloud data warehouses / lakes

  • Distinctive problem-solving skills and the ability to translate analysis into business recommendations

  • Excellent written and verbal communication, including the ability to influence senior stakeholders

Nice to have
  • Experience with Databricks, Spark, or semantic-layer / metrics platforms

  • Background in bidding, auctions, recommendation, or measurement/attribution

  • Experience standing up experimentation tooling or analytics infrastructure

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.

Skills Required

  • 8+ years in data science or quantitative analysis
  • Strong foundations in experimental design, hypothesis testing, causal inference, and statistical/ML modeling
  • Fluency in SQL and Python (or R)
  • Comfort working with large-scale data in cloud data warehouses / lakes
  • Ability to translate analysis into business recommendations and influence senior stakeholders
  • Excellent written and verbal communication and mentoring experience
  • Experience with Databricks, Spark, or semantic-layer / metrics platforms
  • Background in bidding, auctions, recommendation, or measurement/attribution
  • Experience standing up experimentation tooling or analytics infrastructure

Digital Turbine Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Digital Turbine and has not been reviewed or approved by Digital Turbine.

  • Healthcare Strength Healthcare coverage is positioned as comprehensive, spanning medical, dental, and vision alongside life and travel insurance. Fully paid short-term disability is also presented as a meaningful safety-net benefit.
  • Equity Value & Accessibility Equity is framed as broadly accessible, with stock/equity included for employees at hire and additional grants tied to performance. This structure can materially increase total rewards for those who value ownership and participate over time.
  • Leave & Time Off Breadth Time-off and flexibility offerings are presented as expansive, including unlimited vacation, flexible hours, and supportive leave policies. Paid parental leave is highlighted as part of a broader leave package.

Digital Turbine Insights

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The Company
HQ: Austin, TX
950 Employees
Year Founded: 1998

What We Do

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 our partners' ability to supercharge their awareness, acquisition, and monetization — connecting them with more consumers, in more ways, across more devices. Digital Turbine is headquartered in North America, with offices around the world. For more about Digital Turbine: www.digitalturbine.com

Why Work With Us

Everyone’s empowered to “Work their Way," while global mindsets & diverse perspectives are celebrated daily. We work hard, but also take time to enjoy the journey, and have fun while doing it. Our team is down to earth and supportive, which is needed in our fast-paced mobile ad technology space.

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