Digital Turbine

Principal Data Scientist

Digital Turbine • $150K — $180K *
New York, NY 10025In-Person
Consumer Technology
11 - 15 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 12+ years of related experience in data science or a similar field.
  • Deep expertise in machine learning and statistics, including areas like Bayesian inference and deep learning.
  • Experience in developing and deploying large-scale production machine learning systems, both batch and real-time.
  • Strong software engineering skills, with a focus on building robust ML code and pipelines.
  • Proficiency in Python or similar programming languages and solid SQL skills; experience with ML libraries such as TensorFlow or PyTorch.
  • Understanding of big data technologies like Spark and experience in cloud environments like AWS or GCP.
  • Record of driving business impact through data science initiatives, leading projects from concept to measurable outcomes.

Responsibilities

  • Act as a thought leader in data science, shaping modeling and experimentation strategies.
  • Tackle high-complexity problems requiring innovative approaches.
  • Define methodologies and standards for data science teams across the company.
  • Bridge technical expertise with business insight to influence product and strategy decisions.
  • Mentor Senior and Lead Data Scientists, enhancing team capabilities and maintaining scientific rigor.
  • Design novel machine learning approaches and architect comprehensive data science solutions.
  • Drive strategic cross-functional initiatives that use data science to enhance product capabilities.

Benefits

  • Hybrid work environment with flexibility in work arrangements.
  • Opportunity for significant career impact and growth within a leading mobile advertising company.
  • Collaboration with diverse teams across product, engineering, and business domains.
  • Access to advanced technologies and methodologies in data science.
Full Job Description
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 mixes deep technical expertise with creativity in one of the most dynamic domains: mobile advertising Our platforms operate at global scale, where even a small improvement in model performance can translate into outsized revenue gains and better user experiences Principal Data Scientists shape the long-term modeling strategy, lead high-impact initiatives, and define the standards for data science excellence across the company

About the Principal Data Scientist
  • Acts as a top-level expert and thought leader in data science, responsible for strategic direction of modeling and experimentation in key product areas
  • Tackles problems of the highest complexity and impact, where solutions require inventing or significantly extending current approaches
  • Defines methodologies, standards, and frameworks that are adopted by data science teams company-wide
  • Bridges technical depth with business acumen to influence product strategy and company-level decisions
  • Exercises expert judgment in selecting and creating analytical approaches, often in areas with limited precedent or ambiguous requirements
  • Operates with substantial independence; work is primarily reviewed in terms of long-term impact and alignment with business strategy
  • Serves as a trusted advisor to senior leaders across Product, Engineering, and the business, frequently shaping roadmaps and strategic priorities
  • Mentors Senior and Lead Data Scientists, building capabilities, reviewing critical work, and setting the bar for scientific rigor and impact
  • Communicates complex statistical and machine learning concepts in a clear, compelling way to audiences ranging from engineers to executives
  • Define the long-term modeling strategy for core areas such as user lifetime value prediction, recommendation and personalization, real-time bidding and pricing, fraud detection, and creative optimization
  • Lead the design and development of novel machine learning and statistical approaches, including probabilistic graphical models, Bayesian methods, deep learning architectures, and advanced decisioning systems
  • Architect end-to-end data science solutions, from problem framing and feature strategy through model training, evaluation, deployment, and monitoring in collaboration with Data Engineering and Product Engineering
  • Establish and evolve experimentation and causal inference frameworks (eg, A/B testing, multi-armed bandits, uplift modeling) to robustly measure the impact of product and policy changes
  • Drive high-visibility, cross-functional initiatives that leverage data science to unlock new product capabilities or revenue streams, often spanning multiple teams and business units
  • Set best practices and standards for modeling, code quality, documentation, reproducibility, and ethical AI considerations
  • Identify and prioritize new data sources and signals that can materially improve model performance or unlock new use cases
  • Represent Digital Turbine's data science capabilities externally as needed (eg, technical talks, publications, partner discussions), in alignment with company strategy
  • Proven hands-on experience operating within a marketplace adtech environment - spanning demand-side optimization, supply monetization, and data pipeline architecture at scale
  • Direct ownership of systems or products that sit across the full adtech stack: bidding infrastructure, yield management, audience data, and measurement


About you as the Principal Data Scientist:
  • Typically requires 12+ years of related experience
  • Deep, demonstrable expertise in machine learning and statistics, including several of the following: forecasting, large-scale recommendation systems, information retrieval, probabilistic graphical models, Bayesian inference, causal inference, and deep learning
  • Extensive experience developing and deploying production machine learning systems at scale, including both batch and real-time/online models
  • Strong software engineering skills and demonstrated experience building production-quality ML code and pipelines (version control, testing, CI/CD)
  • Proficiency in Python (or similar) for data science and strong SQL skills; experience with major ML and numerical libraries (eg, PyTorch, TensorFlow, JAX)
  • Solid understanding of big data ecosystems (Spark, Hadoop, Databricks, BigQuery, etc) and experience working in modern cloud environments (AWS, GCP, or Azure)
  • Proven track record of driving significant business impact through data science initiatives, with examples of leading projects from concept through production and measurable outcomes
  • Strong leadership, collaboration, and influence skills, with experience guiding other data scientists and partnering with senior cross-functional stakeholders
  • Ability to synthesize complex technical and business information into clear recommendations and to shape product and platform roadmaps through data-driven insights


About Digital Turbine

Digital Turbine, Inc. is a mobile software company that delivers products and solutions for mobile operators, device OEMs, and third-party advertisers. The company's products include Ignite, a mobile device management solution, and SingleTap, a mobile advertising platform. Digital Turbine was founded in 1998 and is headquartered in Austin, Texas.
Learn more about Digital Turbine
Size
844 employees
Market Cap
$1.4 billion
Industry
Enterprise Technology
Net Income
$38.6 million
5 Year Trend
+79.4%
Revenue
$257.8 million
NASDAQ
APPS
* Ladders Estimates

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