Sr. Engineering Manager, Data Science

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.
As a Senior Data Science Manager at Digital Turbine, you will lead a team of data scientists to leverage data to drive strategic decisions, optimize performance, and uncover actionable insights. A core objective of your role is to improve revenue, performance, and cost efficiency by creating cutting-edge, decision-making models that enhance our product offerings and improve user experiences.
You will collaborate closely with product, engineering, and business teams to develop and deploy advanced analytical solutions that align with our strategic goals and drive impactful results. The scale and complexity of our operation present unique challenges and opportunities, and your leadership will be crucial in navigating and optimizing these to achieve strategic objectives.
Key Responsibilities

• Lead, mentor, and develop a high-performing team of data scientists, building ML models serving a production operation of a gargantuan scale. Foster a culture of innovation, collaboration, and continuous learning.
• Drive the development and execution of data science strategies aligned with business objectives. Proactively identify and lead key opportunities where data science can add significant value.
• Oversee the design and implementation of complex analytical models and algorithms. Utilize statistical analysis, machine learning, and other advanced techniques to address business challenges.
• Work closely with product managers, engineers, and business stakeholders to understand requirements and deliver data-driven insights to support product development and business strategies.
• Collaborate with engineering teams to ensure the development and maintenance of robust data infrastructure and tools. Optimize data pipelines and workflows to ensure data quality, accessibility, and cost efficiency.
• Develop and track KPIs to measure the impact of data science initiatives. Provide actionable insights and recommendations based on data analysis.
• Stay abreast of industry trends, emerging technologies, and best practices in data science. Apply innovative approaches and techniques to solve complex problems.

Qualifications

• Domain expertise and hands-on experience working at mobile advertising, app discovery, or gaming companies - a must.
• Minimum of 8 years of experience in data science, with at least 3 years in a managerial or leadership role.
• Proven track record of leading projects, managing teams, and driving business performance improvements using data science tools and techniques.
• Proficiency in programming languages such as Python or R, as well as industry standard ML libraries.
• Strong experience with data manipulation and analysis technologies, such as SQL, GBQ, Spark, and Databricks.
• Knowledge of machine learning frameworks, libraries, and tools, such as PyTorch, PyTorch Lightning, MLFLOW, and TensorFlow.
• Demonstrated expertise in statistical analysis, predictive modeling, and data visualization. Strong problem-solving skills with the ability to translate complex data into actionable insights.
• Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders. Experience in presenting findings and recommendations to senior leadership.
• A bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

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.