A home is the biggest investment most people make, and yet, it doesn’t come with a manual. That's why we’re building the only app homeowners need to effortlessly manage their homes —  knowing what to do, when to do it, and who to hire. With Thumbtack, millions of people care for what matters most, and pros earn billions of dollars through our platform. And as one of the fastest-growing companies in a $600B+ industry — we must be doing something right. 

We are driven by a common goal and the deep satisfaction that comes from knowing our work supports local economies, helps small businesses grow, and brings homeowners peace of mind. We’re seeking people who continually put our purpose first: advocating for pros and customers, embracing change, and choosing teamwork every day.

At Thumbtack, we're creating a new era of home care. If making an impact and the chance to do good inspires you, join us. Imagine what we’ll build together. 

Thumbtack by the Numbers

  • Available nationwide in every U.S. county
  • 80 million projects started on Thumbtack
  • 10 million 5-star reviews and counting
  • Pros earn billions on our platform
  • 1000+ employees 
  • $3.2 billion valuation (June, 2021) 

About The Data Science Team

The data science team empowers Thumbtack to use data to guide business decisions. We collaborate with partners across the company to solve the most analytically challenging problems -- everything from how we set prices across hundreds of local services categories, to evaluating the impact of a new business model on company performance, to identifying early predictors of high-quality customers. We are a tight-knit, intellectually curious team that is committed to improving Thumbtack and improving each other.

About the Role

As a Marketing Senior Data Scientist at Thumbtack, you’ll be expected to leverage your analytical expertise, marketing knowledge, and interpersonal skills to drive a variety of high-impact projects. You will embed directly with a growth marketing team to help optimize various marketing channels, drive personalization and discover new channels. Outside growth marketing work, you’ll contribute to our broader Data Science team and company data culture by sharing your learnings, partnering with others, and building new capabilities for how we can use data to guide decisions.

 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

What you’ll need

If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

  • 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

Bonus points if you have

  • 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

Thumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Canada or the Philippines.* Learn more about our virtual-first working model here.

#LI-Remote

Benefits & Perks
  • Virtual-first working model coupled with in-person events
  • 20 company-wide holidays including a week-long end-of-year company shutdown
  • Library (optional use collaboration & connection hub) in San Francisco
  • WiFi reimbursements 
  • Cell phone reimbursements (North America) 
  • Employee Assistance Program for mental health and well-being 

Learn More About Us

Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. 

Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: recruitingops@thumbtack.com

If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at https://www.thumbtack.com/privacy/ .

Location

Remote, Ontario

Remote Job

Job Overview
Job Posted:
6 months ago
Job Expires:
Job Type
Full Time

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