Lead Data Scientist

Role Overview

As a Lead Data Scientist, you will serve as a technical authority and strategic partner across engineering, product, and executive leadership. You will define technical roadmaps, architect high-impact ML and experimentation frameworks, and set the standard for data science excellence across DT’s global marketplace.

What You Will Do

You will lead the translation of complex, high-ambiguity business challenges into multi-quarter data science roadmaps that directly shape product strategy and commercial outcomes. You will drive the methodology, design, and standards for DT’s centralized experimentation framework, and 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.

Why It Might Be a Fit

You will 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.

Requirements

• 8+ years of progressive experience in data science, quantitative analysis, or machine learning
• Expertise in advanced statistical modeling, causal inference, experimental design, and machine learning architectures
• Expert fluency in Python (or R), SQL, and handling petabyte-scale data within cloud infrastructure
• Proven ability to look beyond individual analyses 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

Benefits

• Stock options
• Unlimited PTO
• Performance-based bonus
• Comprehensive benefits package