AI Engineering Lead responsible for infrastructure and development of AI agents in product analytics. Managing tools, standards, and governance for a team supporting 60+ products.
About the role
- Senior Data Scientist driving marketing data strategies at Thumbtack. Leading advanced measurement methodologies to evaluate marketing effectiveness and improve decision-making.
Responsibilities
- Lead the development and advancement of measurement methodologies that push the boundaries of what’s possible in evaluating marketing effectiveness
- Explore innovative approaches grounded in data science and modern analytical methods
- Drive the creation of frameworks, tools, and processes, and adoption of new methodologies that make measurement more systematic and scalable across a variety of channels.
- Strengthen and evolve modeling approaches to deliver insights that are both robust and actionable.
- Iterate on measurement approaches to marketing problems like channel incrementality, bolstering a robust approach to maximizing return on ad spend
- Collaborate with cross-functional partners to connect measurement learnings with business strategy and growth.
- Serve as a technical leader—mentoring others, elevating analytical standards, and shaping the long-term direction of measurement at Thumbtack.
- Identify and pursue new opportunities where advanced analytics or fresh methodologies can unlock impact.
Requirements
- 4+ years of experience in data science, analytics, or economics
- Bachelor’s, Master’s, or Doctoral degree in a technical area such as: Statistics, Economics, Math, Computer Science, Engineering, advanced degree preferred
- Proficient in causal inference methods, and familiar with statistical and machine learning concepts
- Proficient in Python and SQL
- Fluency in marketing and marketing measurement, experience with media mixed modeling preferred
- Quantitative and structured problem solving
- Ability to work in a fast moving business environment
- Strong communication skills and ability to build strong relationships cross-functionally and with leadership and get buy-in on a data-driven perspective.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
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