Senior Manager of Data Science, Advertising

4 weeks ago

Toronto, Ontario, Canada Mozilla Full time

Senior Manager of Data Science, Advertising

at Mozilla Corporation Team: Strategy & Operations Locations: Remote US, Remote Canada

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Why Mozilla?

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser, and Pocket, a service for keeping up with the best content online. Now, with more than 225 million people around the world using our products each month, we're shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we're doing this while never losing our focus on our core mission – to make the internet better for people.

The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren't beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.

About this team and role:

The Manager of Data Science, Advertising at Mozilla will lead the data science efforts related to our advertising initiatives. You will be responsible for driving data-driven decision-making, optimizing ad performance, and ensuring that our advertising strategies align with our ethical standards. This role requires a deep understanding of both the technical and strategic aspects of data science in the context of digital advertising.

What you'll do:
  • Lead and develop a high-performing data science team focused on Mozilla's growing advertising products and business, ensuring that we build an ads business that strikes the right balance between protecting user privacy, diversifying Mozilla's sources of revenue, and serving our advertisers
  • Drive our efforts to utilize data to inform and optimize ad targeting, bidding strategies, and campaign performance, including the development predictive models and algorithms to enhance ad personalization while maintaining user privacy
  • Analyze and interpret complex datasets to provide actionable insights to stakeholders and lead the development of the metrics and reporting that enables stakeholders to become increasingly self-sufficient in this capacity
  • Lead the development and deployment of experimentation and measurement frameworks to demonstrate and continually increase the effectiveness of our ads products
  • Partner with Product and Engineering teams to shape and deliver our ads strategy and roadmap
What you'll bring:
  • Master's or PhD in Data Science, Statistics, Computer Science, or a related field
  • 8+ years of experience in data science, with a strong focus on digital advertising
  • Experience with ad tech, programmatic advertising, and the digital media ecosystem
  • Proven track record of leading and scaling data science teams
  • Expertise in machine learning, statistical modeling, and data analytics
  • Proficiency in programming languages such as Python or R and SQL
  • Strong understanding of privacy-preserving technologies and their application in advertising
  • Excellent communication skills, with the ability to translate complex data insights into actionable strategies for non-technical partners.
  • Demonstrated ability to work cross-functionally and influence decision-making at all levels of the organization.
  • Commitment to our values:
  • Welcoming differences
  • Being relationship-minded
  • Practicing responsible participation
  • Having grit
What you'll get:
  • Generous performance-based bonus plans to all eligible employees - we share in our success as one team
  • Rich medical, dental, and vision coverage
  • Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
  • Quarterly all-company wellness days where everyone takes a pause together
  • Country specific holidays plus a day off for your birthday
  • One-time home office stipend
  • Annual professional development budget
  • Quarterly well-being stipend
  • Considerable paid parental leave
  • Employee referral bonus program
  • Other benefits (life/AD&D, disability, EAP, etc. - varies by country)

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