Senior Data Scientist

Mozilla; Toronto; Remote; CAD 90,000 - 120,000; Full time

Job summary

A leading internet technology company is seeking a Senior Data Scientist to drive insights through data analysis. This remote position involves designing experiments, advocating for analytical standards, and influencing product strategies. Ideal candidates will hold a Master's or PhD in a related field and possess a robust background in quantitative analysis. Join a mission-driven team dedicated to improving the internet for everyone.

Benefits

Generous performance-based bonuses

Rich medical, dental, and vision coverage

Generous retirement contributions

Quarterly wellness days

Country specific holidays and birthday off

Home office stipend

Professional development budget

Parental leave

Qualifications

• 2+ years of professional experience doing quantitative analysis.
• Background in applied statistical modeling on large data sets.
• Experience extracting data from a variety of sources.

Responsibilities

• Help design and analyze experiments for user behaviors.
• Build key data sets for operational and exploratory analysis.
• Advocate for strong analytical standards across the organization.
• Be responsible for reporting key product metrics.
• Influence product decisions using data insights.

Skills

Quantitative analysis

Statistical modeling

Data visualization

SQL

Python

Effective communication

Problem-solving

Education

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

Job description

Senior Data Scientist

at Mozilla Corporation Team : Strategy, Operations, Data & Ads Locations : Remote Canada, Remote US To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu.

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Why Mozilla?

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make groundbreaking brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people.

The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.

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)