Senior Data Scientist, Revenue and Business

About the Role

The Revenue Data Science team's work informs prioritization, investment decisions, and long-term growth strategy across Firefox. This role emphasizes judgment, communication, and influence, supported by strong technical execution. You will work closely with cross-functional teams, including Business Development, Finance, and Product, to drive business outcomes and revenue growth.

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 stakeholders to identify business problems and develop data-driven solutions
• Communicate insights and recommendations to non-technical stakeholders, including senior leadership and business partners
• Stay up-to-date with industry trends, emerging technologies, and new tools and methodologies in data science and analytics

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 when needed
• Practical experience with statistical analysis and experiment design, applied to real-world business problems
• Ability to operate effectively in fast-paced environments with multiple viable options, delivering directional insights with clear rationale
• Excellent communication and presentation skills, with the ability to distill complex technical concepts into clear, actionable recommendations

Nice to Have

• Experience working with cloud-based data platforms, such as AWS or GCP
• Familiarity with data visualization tools, such as Tableau or Power BI
• Knowledge of machine learning algorithms and modeling techniques

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with a talented team of professionals who are passionate about making the internet better for people
• Flexible, remote work environment with a culture that values work-life balance
• Professional development opportunities, including training and conference sponsorships
• Access to the latest tools and technologies in data science and analytics

• To stand out as a candidate, be prepared to provide specific examples of how you've used data science and analytics to drive business outcomes in previous roles.
• Make sure your resume and online profiles (e.g., LinkedIn) are up-to-date and highlight your technical skills, including proficiency in SQL, Python, and data visualization tools.
• Be prepared to discuss your experience working with cross-functional teams and communicating complex technical concepts to non-technical stakeholders.
• Research Mozilla's mission, values, and products to demonstrate your passion for the company and its goals.
• Consider creating a portfolio of your work, including examples of data-driven projects and analyses you've led or contributed to, to share with the hiring team.
• Don't be afraid to ask questions during the interview process, such as what a typical day looks like in this role or how the team approaches data-driven decision-making.