Lead Data Scientist

digitalturbine; New York (NY); Hybrid; USD 223,000 - 272,000; Full time

Benefits offered by this job

Stock options

Unlimited PTO

Performance-based bonus

Job summary

Digital Turbine is seeking a Lead Data Scientist in New York to drive data-driven product strategy and commercial outcomes. You will lead the translation of complex business problems into data science roadmaps and oversee causal inference, A/B testing, and production ML models for bid optimization and attribution.

You will design scalable data tools and pipelines while mentoring senior scientists and partnering with ML Infrastructure and Data Engineering to productionize models.

Qualifications

• 8+ years of progressive experience in data science or ML with leadership in AdTech or related platforms.
• Expertise in statistical modeling, causal inference, experimental design, and ML architectures.
• Fluency in Python (or R), SQL, and handling large-scale cloud data.
• Ability to design scalable tools, reusable metrics, and automated modeling pipelines.

Responsibilities

• Translate complex business challenges into multi-quarter data science roadmaps.
• Lead the centralized experimentation framework including A/B testing and hypothesis validation.
• Architect production-grade models for bid/UA optimization, LTV, and attribution.
• Direct strategy for real-time data intelligence and forecasting to boost decisioning.

Skills

Statistical modeling

Causal inference

Experiment design

Python

SQL

Education

Master's or PhD in a quantitative field

Tools

Databricks

Spark

Snowflake

AWS

GCP

Job description

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.

About the Lead Data Scientist role:

• Strategic Problem Framing & Vision: Lead the translation of complex, high-ambiguity business challenges into multi-quarter data science roadmaps that directly shape product strategy and commercial outcomes.
• Experimentation Architecture: 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 across product surfaces.
• Advanced Modeling & System Architecture: 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.
• Real-Time Data Intelligence: Direct the strategy for time-series forecasting and real-time event processing to enhance automated decisioning, yield optimization, and recommendation engines.
• Engineering Partnership & Productionization: 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.
• Technical Leadership & Mentorship: Elevate the technical rigor of the data science organization. Mentor senior and mid-level scientists, establish code and methodology standards, and foster an evidence-based culture across the company.
• Executive Influence: Translate deep technical findings into strategic narratives for executive stakeholders, influencing product strategy and commercial investments.

About You As the Lead Data Scientist:

• Experience: 8+ years of progressive experience in data science, quantitative analysis, or machine learning, with a track record of technical leadership in AdTech, two-sided marketplaces, or consumer-scale data platforms.
• Technical Mastery: Expertise in advanced statistical modeling, causal inference, experimental design, and machine learning architectures (regression, classification, time-series, clustering, and deep learning).
• Stack & Scale: Expert fluency in Python (or R), SQL, and handling petabyte-scale data within cloud infrastructure (e.g., Databricks, Spark, Snowflake, AWS/GCP).
• Systemic Thinking: Proven ability to look beyond individual analyses to design scalable tools, reusable metrics frameworks, and automated modeling pipelines.
• Cross-Functional Leadership: Exceptional communication and alignment skills, with a history of driving technical strategy across matrixed product, engineering, and business organizations.

Nice to Have:

• 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).

At DT, we are committed to pay transparency and equitable compensation.

(For New York based candidates) The salary range for this position is $223,000-$272,000 based on experience, skills, and qualifications. In addition to competitive pay, we offer a comprehensive benefits package, including stock options, unlimited PTO and performance based bonus. We believe in fostering an environment where employees are valued and compensated fairly for their contributions.

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 simplif