Senior Data Scientist, Revenue and Business

MozillaMozilla·Remote
Data & Analytics

WFA Digital Insight

As remote work continues to redefine the job market, demand for skilled data scientists has skyrocketed. With a 25% growth in digital skills demand in 2025, professionals with strong analytical capabilities are in high demand. Mozilla, a pioneer in open-source software, stands out for its mission-driven approach. Candidates should be prepared to showcase their technical expertise and business acumen, as well as their ability to communicate complex data insights effectively.

Job Description

About the Role

Mozilla Corporation, a non-profit-backed technology company, is seeking a Senior Data Scientist to join its Revenue Data Science team. This team plays a critical role in evaluating revenue growth opportunities and translating usage data into business-relevant insights that inform prioritization, investment decisions, and long-term growth strategy across Firefox. As a Senior Data Scientist, you will be a key partner to Business Development and Finance, guiding data-driven decisions and ensuring analytical outputs are accurate and actionable.

The Revenue Data Science team is focused on shaping ambiguous questions, guiding data-driven decisions, and ensuring analytical outputs are accurate and actionable. This role emphasizes judgment, communication, and influence, supported by strong technical execution. You will have the opportunity to work on diverse projects, from evaluating revenue growth opportunities to developing executive-ready reporting and dashboards.

Mozilla Corporation is wholly owned by the non-profit Mozilla Foundation, which means the company is driven by its mission to make the internet better for people, not by shareholder interests. With a strong focus on open-source software, Mozilla has shaped the internet for the better over the last 25 years and is now looking to the next 25 years of technology.

What You Will Do

  • Evaluate and compare multiple revenue growth opportunities to inform Business Development prioritization, investment decisions, and negotiation strategy
  • Develop clear analytical frameworks to assess trade-offs, risks, and expected impact across competing options
  • Produce executive-ready reporting and dashboards that translate complex analyses into concise, decision-oriented narratives
  • Design measurement plans to evaluate new growth initiatives and validate assumptions over time
  • Ensure high standards of data validation and accuracy for analyses surfaced to senior leadership
  • Collaborate with cross-functional teams to integrate data insights into business decisions
  • Develop and maintain datasets and data systems to support ongoing analyses
  • Stay up-to-date with industry trends and emerging technologies to continuously improve analytical capabilities

What We Are Looking For

  • 6+ years of experience in data science, analytics, or applied quantitative roles, with a track record of influencing business decisions through data
  • Advanced proficiency in SQL and Python for analysis, modeling, and validation
  • Strong business judgment and stakeholder management skills, including comfort assessing trade-offs and pushing back on assumptions
  • Experience working with large datasets and complex data systems
  • Strong communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders
  • Bachelor's degree in a quantitative field, such as mathematics, statistics, computer science, or economics
  • Experience working in a fast-paced, dynamic environment with multiple priorities and deadlines

Nice to Have

  • Experience working with cloud-based data platforms, such as AWS or GCP
  • Familiarity with machine learning algorithms and techniques
  • Experience working with data visualization tools, such as Tableau or Power BI
  • Certification in data science or a related field

Benefits and Perks

  • Competitive salary and benefits package
  • Opportunity to work on high-impact projects that drive business growth and inform strategic decisions
  • Collaborative and dynamic work environment with a team of experienced data scientists and analysts
  • Flexible working hours and remote work options
  • Professional development opportunities, including training and conference sponsorships
  • Access to the latest tools and technologies, including cloud-based data platforms and machine learning algorithms

How to Stand Out

  • Tip: Showcase your ability to communicate complex data insights effectively by including examples of Executive-ready reporting and dashboards in your portfolio.
  • Tip: Highlight your experience working with large datasets and complex data systems, and be prepared to discuss your approach to data validation and accuracy.
  • Tip: Emphasize your business judgment and stakeholder management skills, including your ability to assess trade-offs and push back on assumptions.
  • Tip: Be prepared to discuss your experience with SQL and Python, and how you have applied these skills in previous roles.
  • Tip: Research Mozilla's mission and values, and be prepared to discuss how your skills and experience align with the company's goals and objectives.
  • Tip: Practice your ability to explain technical concepts to non-technical stakeholders, as this is a key skill for success in this role.

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