Senior Data Scientist, Product

MozillaMozilla·Remote(Remote US)
Data & Analytics

WFA Digital Insight

As the demand for data-driven product decisions continues to rise, companies like Mozilla are seeking skilled data scientists to inform their growth strategies. With the global data science market projected to reach

40 billion by 2027, professionals with expertise in statistical modeling and data analysis are in high demand. This Senior Data Scientist role at Mozilla offers a unique opportunity to shape the future of the Firefox browser, and candidates should be prepared to demonstrate their ability to drive business outcomes through data.

Job Description

About the Role

The Senior Data Scientist, Product role at Mozilla is a unique opportunity to drive user growth and inform product decisions through data-driven insights. As a key member of the Firefox Data Science team, you will partner with product and engineering teams to analyze complex data sets, identify trends, and develop predictive models that shape the future of the Firefox browser. Your work will have a direct impact on the company's mission to make the internet better for people.

The Firefox Data Science team is responsible for providing analytical support to product and engineering teams, and your role will be critical in driving the team's success. You will work closely with cross-functional teams to identify key metrics, develop measurement strategies, and deliver insights that inform product decisions.

Mozilla is a non-profit-backed technology company that has been shaping the internet for the better over the last 25 years. With a strong focus on diversity, equity, and inclusion, Mozilla is committed to creating a work environment that is welcoming and inclusive to all employees.

What You Will Do

  • Own the analytical success for a feature area by defining north-star metrics, building datasets, and establishing measurement strategies
  • Provide deep-dive and root-cause analyses to guide feature development and understanding of metric changes
  • Design and analyze experiments to understand feature impact, user behavior, and causal relationships
  • Design measurement plans to evaluate new growth initiatives and validate assumptions over time
  • Contribute to the team's statistical forecasting models and help translate model outputs into actionable growth plans
  • Sit at the intersection between product, engineering, and leadership to advise, influence, support, and implement product decisions
  • Cultivate a culture of measurement and advocate for strong analytical standards and methodologies across the organization
  • Collaborate with cross-functional teams to identify key metrics and develop measurement strategies
  • Develop and maintain datasets to support analysis and modeling efforts
  • Communicate complex analytical results to non-technical stakeholders

What We Are Looking For

  • 6+ years of experience in data science, analytics, or applied quantitative analysis
  • Advanced proficiency in SQL and Python for analysis, modeling, and validation
  • Strong understanding of statistical modeling and machine learning techniques
  • Experience working with large datasets and complex data systems
  • Ability to communicate complex analytical results to non-technical stakeholders
  • Strong business acumen and ability to drive business outcomes through data
  • Experience working in a fast-paced and dynamic environment
  • Strong collaboration and influencing skills

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
  • Experience working with agile development methodologies
  • Knowledge of web development principles and technologies
  • Familiarity with Mozilla's products and technologies

Benefits and Perks

  • Competitive salary and bonus structure
  • Comprehensive health insurance and benefits package
  • Generous paid time off and vacation policy
  • Flexible work environment and remote work options
  • Professional development opportunities and education reimbursement
  • Access to the latest technologies and tools
  • Opportunity to work on high-impact projects and contribute to Mozilla's mission
  • Collaborative and dynamic work environment

How to Stand Out

  • Develop a strong understanding of statistical modeling and machine learning techniques to drive business outcomes through data.
  • Create a portfolio that showcases your ability to communicate complex analytical results to non-technical stakeholders.
  • Be prepared to demonstrate your experience working with large datasets and complex data systems.
  • Highlight your ability to drive business outcomes through data and communicate complex results to non-technical stakeholders.
  • Research Mozilla's products and technologies to demonstrate your knowledge and passion for the company's mission.
  • Practice your ability to communicate complex analytical results to non-technical stakeholders through mock interviews or presentations.
  • Be prepared to discuss your experience working in a fast-paced and dynamic environment and your ability to collaborate with cross-functional teams.

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