Senior Data Scientist

Mozilla; San Francisco (CA); Remote; USD 120,000 - 150,000; Full time

Job summary

A leading tech organization is seeking a Senior Data Scientist to enhance the Firefox experience through data-driven insights. Responsibilities include designing experiments, analyzing data, and collaborating with cross-functional teams. The ideal candidate has a Master’s or PhD with over 2 years of experience in quantitative analysis and proficiency in SQL and Python. Join us for generous benefits and a collaborative culture.

Benefits

Generous performance-based bonus plans

Rich medical, dental, and vision coverage

Quarterly well-being stipend

Considerable paid parental leave

Annual professional development budget

Qualifications

• 2+ years of professional experience in quantitative analysis.
• Experience with large experimental or observational data sets.
• Ability to interpret large amounts of data independently or collaboratively.

Responsibilities

• Design and analyze experiments to understand user behaviors and trends.
• Build key data sets for operational and exploratory analysis.
• Advocate for strong analytical standards across the organization.

Skills

Quantitative analysis

Data visualization

SQL proficiency

Python programming

Effective communication

Statistical modeling

Education

Master’s or PhD in Data Science, Statistics, Computer Science, or related field

Job description

Senior Data Scientist

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

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Overview

The Role

As a Senior Data Scientist, you are an inquisitive problem solver who is keen to practice full-stack data science, with experience ranging from crafting data extraction pipelines to finding patterns and anomalies in data. You have a strong curiosity and a desire to hone your technical skills further on a wide variety of real-world data. You believe that data science can lead to insights that can guide the future development of Firefox. You will apply your expertise in quantitative analysis, statistical modeling, and data visualization to see beyond the numbers and understand how our worldwide community experiences our products.

What you’ll do :

• Help design and analyze experiments to understand ecosystems, user behaviors, and long-term trends
• Build key data sets to empower operational and exploratory analysis
• Advocate for strong analytical standards and methodologies across the organization
• Be responsible for the definition, evaluation and reporting of key product metrics
• Sit at the intersection between product, engineering, and leadership to advise, influence, support, and implement our product decisions
• Help cultivate a culture of measurement to build a better Firefox

What you’ll bring

• Master’s or PhD in Data Science, Statistics, Computer Science, or a related field (physical, life, or social science)
• 2+ years of professional experience doing quantitative analysis, particularly in an Internet-focused, consumer-focused organization
• Background in applied statistical modeling on large experimental or observational data sets
• Experience extracting data from a variety of sources (solid understanding of SQL is required)
• Proficiency with one or more programming languages : Python preferred
• Effective and persuasive written and oral communication skills in English.
• Ability to interpret large amounts of data, multi-task, and produce results independently or collaboratively in a team environment
• Commitment to our values :
• Welcoming differences
• Being relationship-minded
• Practicing responsible participation
• Having grit
• A global perspective in how to conduct research and understanding of cultural nuances
• Experience working in a distributed, open-source oriented organization is a plus

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)