Data Scientist

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.

Data Science at Digital Turbine is about mixing technical prowess with creativity in one of the most exciting frontiers: mobile advertising. On any given day, we work with probabilistic graphical models, Bayesian methods, collaborative filtering, and other modern machine learning methodologies to power performance advertising at massive scale.

About the Data Scientist role:

• Applies company policies and procedures to resolve a variety of issues Determines a course of action based on guidelines and modifies processes and methods as required Works on problems of moderate scope which are often varied and routine, where analysis of situations or data requires a review of a variety of factors

• Develop and apply statistical and machine learning techniques to deliver insights into mobile performance data (forecasting, prediction, ranking, and optimization problems)

• Translate unstructured business problems into well‑structured mathematical formulations, data flows, and model designs

• Build, evaluate, and iterate on models such as regression, classification, uplift models, and clustering; support occasional use of advanced approaches (eg, ensemble methods, basic deep learning)

• Design and operate experimental and testing environments (A/B tests, offline experiments) for investigating new algorithmic methods

• Collaborate with Product Management, Technology, and Business stakeholders to identify opportunities where models can drive value (eg, better bidding, fraud detection, user value prediction)

• Communicate technical methods and results clearly to both technical and non‑technical audiences

• Work with data engineering partners to move successful prototypes toward production‑grade implementations

About You as the Data Scientist:

• Exercises judgment within defined procedures and practices to determine appropriate action

• Applies learned techniques and contributes to analysis and investigation to solve problems

• Normally receives little instruction on day‑to‑day work and general instructions on new assignments

• Builds productive internal/external working relationships to resolve mutual problems by collaborating on models, experiments, and data pipelines

• Focuses on providing standard professional advice and creating initial analyses and reports for review by senior data scientists

• Degree in Statistics, Mathematics, Physics, Computer Science, or related discipline required; PhD preferred but not required

• 2+ years of experience in data mining, information retrieval, analytics, or related data science roles

• Strong foundation in statistics and experience with forecasting, predictive modeling, and experimental design

• Hands‑on experience applying machine learning techniques (eg, gradient boosting, random forests, logistic regression, matrix factorization) to real‑world problems

• Ability to communicate and document statistical methods and analyses in a logical and understandable manner for varying audiences

• Proficiency in Python or R for data science, along with SQL for data retrieval and aggregation

• Familiarity with big data environments and distributed data platforms (eg, Spark, Hadoop) is strongly preferred

• Demonstrated ability to work productively with team members and resolve tough issues in a collaborative and respectful manner

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.