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About the Role
As a Lead Data Scientist at Digital Turbine, you will be a technical authority and strategic partner, defining technical roadmaps, architecting ML and experimentation frameworks, and setting data science standards for DT’s global marketplace. You will focus on areas such as bidding efficacy, audience curation, measurement, attribution, and enterprise experimentation.
Responsibilities
- Lead the translation of complex business challenges into multi-quarter data science roadmaps that shape product strategy and commercial outcomes.
- Drive the methodology, design, and standards for DT’s centralized experimentation framework, serving as the primary authority on causal inference, A/B testing, and hypothesis validation.
- Architect and oversee the development of production-grade statistical and ML models for bid/UA optimization, dynamic audience segmentation, user lifetime value (LTV), and multi-touch attribution.
- Direct the strategy for time-series forecasting and real-time event processing to enhance automated decisioning, yield optimization, and recommendation engines.
- Partner with ML Infrastructure and Data Engineering leads to establish best practices for model deployment, monitoring, and integration into DT’s Next Best Action framework.
- Elevate the technical rigor of the data science organization through mentorship, establishing code and methodology standards, and fostering an evidence-based culture.
- Translate deep technical findings into strategic narratives for executive stakeholders, influencing product strategy and commercial investments.
Requirements
- 8+ years of progressive experience in data science, quantitative analysis, or machine learning.
- Track record of technical leadership in AdTech, two-sided marketplaces, or consumer-scale data platforms.
- Expertise in advanced statistical modeling, causal inference, experimental design, and machine learning architectures (regression, classification, time-series, clustering, and deep learning).
- Expert fluency in Python (or R) and SQL.
- Experience handling petabyte-scale data within cloud infrastructure (e.g., Databricks, Spark, Snowflake, AWS/GCP).
- Proven ability to design scalable tools, reusable metrics frameworks, and automated modeling pipelines.
- Exceptional communication and alignment skills, with a history of driving technical strategy across matrixed product, engineering, and business organizations.
- Hands-on experience architecting metrics semantic layers or enterprise experimentation tools.
- Deep domain expertise in real-time bidding (RTB) auctions, algorithmic yield management, or advanced attribution methodologies.
- Masters or Ph.D. in a quantitative field (Statistics, Computer Science, Economics, Operations Research, or Physics).
Skills
- Python
- R
- SQL
- Machine Learning
- Statistical Modeling
- Causal Inference
- Experimental Design
- Regression
- Classification
- Time-Series Analysis
- Clustering
- Deep Learning
- Cloud Infrastructure (Databricks, Spark, Snowflake, AWS/GCP)
- Metrics Semantic Layers
- Enterprise Experimentation Tools
- Real-Time Bidding (RTB)
- Algorithmic Yield Management
- Advanced Attribution Methodologies
Location
- New York
Work Type
- Hybrid
Experience Level
- 8+ years
- Lead
Education Level
- Masters or Ph.D. in a quantitative field (Statistics, Computer Science, Economics, Operations Research, or Physics)
Salary/Compensations
- $223,000-$272,000
Benefits
- Stock options
- Unlimited PTO
- Performance based bonus
About the Company
- Digital Turbine 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.
Equal Opportunity
- 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.