Staff Data Scientist, Marketing

At Thumbtack, Data Scientists are trusted to combine rigorous thinking, technical expertise, and business context to accelerate smarter decisions and better products. Our Marketing Data Science team powers a data-driven growth engine—blending advanced analytics, innovative technology, and creative problem-solving to bring users to Thumbtack and keep them engaged.

As a Staff Marketing Data Scientist, you will serve as one of the most senior members of the team, setting the bar for technical innovation and strategic impact. Your mission will be to advance our channel measurement capabilities and to design scalable methodologies, frameworks, and tools that empower the Marketing and Data Science teams to operate with speed, rigor, and confidence.

What you’ll do 

Lead the development and advancement of measurement methodologies that push the boundaries of what’s possible in evaluating marketing effectiveness. You’ll explore innovative approaches grounded in data science and modern analytical methods.

Key Responsibilities

• Drive the creation of frameworks, tools, and processes that make measurement more systematic and scalable across a variety of channels.
• Evolve and strengthen existing 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.

In order to be successful, you must bring

• 4+ years of experience in data science, analytics or economics
• Bachelor’s, Master’s, or Doctoral degree in a technical area such as: Statistics, Engineering, Analytics, Math, Computer Science,Economics
• Minimum of 0-5 years of experience in industry, consulting, government or academic research. Applicants with considerably more experience, including mid-career, are also strongly encouraged to apply.
• Proficiency with analytical tools like Python and SQL
• 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

Expected salary ranges

• For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $223,100 – $288,800.
• For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $200,900 – $259,900.
• For candidates living in all other US locations, the expected salary range for this role is currently $189,600 – $245,400.