Senior Data Scientist, Product

Data & Analytics

WFA Digital Insight

As demand for data scientists grows 25% annually, Mozilla seeks a Senior Data Scientist to fuel Firefox's growth. With remote work on the rise, this role stands out for its emphasis on judgment, communication, and influence, supported by strong technical execution. Candidates should be aware that Mozilla's non-profit mission drives its product decisions, and a passion for privacy and security is a must. Before applying, consider how your skills in data analysis and modeling can drive user growth in a rapidly changing digital landscape.

Job Description

About the Role

The Senior Data Scientist role at Mozilla is a unique opportunity to drive user growth and inform product decisions with data-driven insights. As a key member of the Firefox Data Science team, you will partner with Product and Engineering to shape the future of the web. Your expertise in data analysis, experimentation, and modeling will help Mozilla make informed decisions about its flagship product, Firefox.

The role entails leading analytical support for a feature area, framing ambiguous questions, designing measurement strategies, and delivering insights that shape product decisions. You will contribute to the team's forecasting and growth modeling efforts, helping translate statistical models into actionable growth strategies. With a focus on remote work and digital skills, this role is perfect for those who thrive in a collaborative, distributed environment.

Mozilla's non-profit mission drives its product decisions, and the company is committed to making the internet better for people. As a Senior Data Scientist, you will be part of a team that values openness, transparency, and community involvement.

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 understand 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 drive data-driven decision making
Develop and maintain datasets, data visualizations, and reporting dashboards to support business decisions

What We Are Looking For

5+ years of experience in data science, with a focus on driving business growth through data-driven insights
Strong technical skills in data analysis, experimentation, and modeling
Experience with data visualization tools and techniques
Excellent communication and collaboration skills, with the ability to influence and advise cross-functional teams
Strong business acumen and understanding of the digital landscape
Experience working with distributed teams and collaborating remotely
Proficiency in programming languages such as Python, R, or SQL
Experience with data engineering tools and technologies

Nice to Have

Experience with machine learning algorithms and deep learning techniques
Knowledge of cloud-based data platforms and tools
Experience with agile development methodologies and version control systems
Certification in data science or a related field
Experience working with open-source software and communities

Benefits and Perks

Competitive salary and benefits package
Opportunity to work on a product that makes a real impact on people's lives
Collaborative, dynamic work environment with a team of experienced professionals
Flexible working hours and remote work options
Professional development opportunities and support for ongoing education and training
Access to cutting-edge technologies and tools
Participation in Mozilla's open-source community and contribution to the development of the web

How to Stand Out

Develop a strong portfolio that showcases your data science skills and experience driving business growth through data-driven insights
Be prepared to discuss your approach to data analysis, experimentation, and modeling, and how you have applied these skills in previous roles
Highlight your experience working with distributed teams and collaborating remotely, and your ability to influence and advise cross-functional teams
Familiarize yourself with Mozilla's products and mission, and be prepared to discuss how your skills and experience align with the company's goals
Consider taking courses or earning certifications in data science to demonstrate your expertise and commitment to ongoing learning
Be prepared to negotiate your salary and benefits package, and to discuss your long-term career goals and how they align with Mozilla's vision

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