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Sr. Engineering Manager, Data Science

digitalturbine · 30+ days ago
Negotiable
Full-time
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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.

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.

Responsibilities of the Sr. Engineering Manager, Data Science:

  • Lead, mentor, and develop a high performing team of data scientists, building ML models serving a production operation on a massive 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 key opportunities where data science can add significant value to business offerings
  • Oversee the design and implementation of complex analytical models and algorithms
  • Utilize statistical analysis, machine learning, and other advanced techniques to address business challenges
  • Partner with product managers, engineers, and key business stakeholders to understand requirements and deliver data-driven insights that 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

Qualification of the Sr. Engineering Manager, Data Science:

  • Minimum of 8 years of experience in data science, with at least 2 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
  • Domain expertise and hands-on experience working at mobile advertising, app discovery, or gaming companies - a must.
  • 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.

To view our Global Recruitment Privacy Notice, please click here.

Notice to External Staffing Agencies, Placement Services, and Professional Recruiters ("Agencies"):

Digital Turbine will not pay fees for any hires resulting from unsolicited resumes. To protect all parties involved, we only accept resumes submitted directly by candidates. Any unsolicited resumes sent to Digital Turbine, its affiliates, subsidiaries, or employees, through any method (mail, email, etc.), will be considered the property of Digital Turbine and free of any associated fees.

Agencies must obtain prior written approval from Digital Turbine's Talent Acquisition team before submitting any candidate resumes. Resumes may only be submitted in connection with a valid, fully executed contract for services and in response to a specific statement of work. Without such an agreement in place, Digital Turbine will not be responsible for any fees related to submitted candidates.

Agency agreements are only valid if they are in writing and signed by a Digital Turbine officer or an authorized designee. No other Digital Turbine employee has the authority to bind the company to any agreement regarding candidate placement by agencies. Digital Turbine specifically rejects any liability under agreements accepted by negative consent, candidate negotiation, performance, or any means not explicitly outlined above.

Last updated on Sep 26, 2024

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