Senior Data Scientist

Summary

The job is for a Marketing Senior Data Scientist at Thumbtack. The role involves providing analytical support to growth marketing teams, optimizing various marketing channels, driving personalization, discovering new channels, and contributing to the broader Data Science team and company data culture. The position requires 5+ years of marketing data science/analytics experience, familiarity with digital marketing, SQL expertise, proficiency in Python or R, and data visualization tools like Looker, LookerStudio or Tableau.

Requirements

• 5+ years of marketing data science/analytics experience
• Familiarity with digital marketing and experience with campaign measurement and performance optimization
• Experience with running channel incrementality tests and building Marketing Mix Model
• Passion for problem-solving, critical thinking, and data analytics
• Sharp business judgment and the ability to see past the noise
• Strong communicator, attentive listener, and compelling explainer
• Expert in SQL, proficient in Python or R, proficient in Data visualization such as Looker, LookerStudio or Tableau

Responsibilities

• Provide a full suite of analytical support including analyzing user behaviors, identifying the target audience, campaign performance measurement, budget forecasting to marketing partners
• Identify opportunities and provide recommendations to optimize individual campaign as well as marketing channel mix
• Design and analyze experiments and other tests for causal inference
• Partner with MarTech stakeholders, PM, engineers, etc. to help scope new features, e.g., optimize performance via TV audience expansion, improve SEM auto-bidding
• Develop topic area expertise, e.g., campaign measurement, A/B testing, customer segmentation, targeting optimization
• In collaboration with cross-functional partners, build new solutions and capabilities to scale growth marketing
• Contribute to our team and company data culture through accessible data table design and maintenance

Preferred Qualifications

• Experience in relevant tech companies, e.g., consumer-facing or marketplace
• Experience in an analytical environment outside of analytics, e.g., management consulting
• Bachelor’s or advanced degree (preferred) in statistics, math, data science, computer science, or economics
• Experience in building various statistical and machine learning models, e.g. GLM, CLTV, statistical time series forecasting, attribution model

Benefits

• Virtual-first working model coupled with in-person events
• 20 company-wide holidays including a week-long end-of-year company shutdown