Senior Data Scientist – Optimization
Tiger Analytics
PySparkPythonSQL
Staff Data Scientist, Marketing
Thumbtack
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $189,600 - $288,800 per year
Job Level
Lead
Tech Stack
PythonSQL
About the role
- Lead the development and advancement of measurement methodologies that push the boundaries of what’s possible in evaluating marketing effectiveness
- 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
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, Engineering, Analytics, Math, Computer Science, Economics
- Minimum of 0-5 years of experience in industry, consulting, government or academic research
- 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
Benefits
- Thumbtack embraces diversity and is an equal opportunity workplace
- Reasonable accommodation for individuals with disabilities
- Paid time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data scienceanalyticseconomicsmeasurement methodologiesmodeling approacheschannel incrementalityreturn on ad spendstatistical analysisdata-driven insightsanalytical frameworks
Soft skills
communication skillsrelationship buildingmentoringcollaborationleadershipanalytical standardsstrategic thinkingproblem-solvingadaptabilityinfluence
