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Staff Data Scientist, Revenue

Оценка ИИ

Исключительная вакансия в миссионерской компании с мировым именем, удаленным форматом работы и отличным социальным пакетом. Высокий уровень влияния на бизнес.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованием к опыту (8+ лет), необходимостью прямого взаимодействия с топ-менеджментом (VP-level) и ответственностью за финансовое прогнозирование всей компании.

Анализ зарплаты

Медиана185 000 $
Рынок160 000 $ – 230 000 $
Оценка ИИ

Предлагаемая роль Staff уровня в международной компании масштаба Mozilla обычно предполагает компенсацию выше среднерыночной. Учитывая требования к опыту 8+ лет и глобальный характер удаленной работы, зарплата будет находиться в верхнем дециле для Data Science ролей.

Сопроводительное письмо

I am writing to express my strong interest in the Staff Data Scientist, Revenue position at Mozilla. With over 8 years of experience in applied quantitative roles and a deep expertise in Python and SQL, I have a proven track record of building robust forecasting models that drive strategic business decisions. My background in partnering with Finance teams to translate complex data into actionable executive narratives aligns perfectly with the responsibilities of this role.

I am particularly drawn to Mozilla’s mission-driven approach and its commitment to an open and accessible internet. Throughout my career, I have excelled in ambiguous environments, balancing technical rigor with the pragmatic need for decision-ready insights. I am eager to bring my experience in end-to-end ownership of analytical programs and my passion for mentoring other data scientists to the Revenue Data Science team to help shape Mozilla’s financial outlook.

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Откликнитесь в mozilla уже сейчас

Присоединяйтесь к Mozilla и формируйте будущее интернета, создавая критически важные модели прогнозирования доходов!

Описание вакансии

To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu.

To learn more about our Hiring Range System, please click this link.

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 pioneering 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. 

About this team and role:

The Revenue Data Science team partners closely with Finance and senior leadership to understand revenue performance, model future outcomes, and provide a clear, trusted view of Mozilla’s revenue outlook. The team’s work supports planning, investment decisions, and executive discussions across a rapidly evolving product and market landscape.

This Staff Data Scientist role owns Mozilla’s revenue forecasting and executive reporting workflows end-to-end. The role requires strong technical judgment, clear communication, and the ability to operate effectively in gray areas—balancing rigor with practicality to deliver insights leaders can trust and act on.

What you’ll do:

  • Own Mozilla’s search revenue forecasting program end-to-end, including model development, scenario analysis, and executive-facing reporting
  • Develop and maintain forecasting models in Python, selecting appropriate approaches and validating results to ensure accuracy and reliability
  • Translate complex trends, assumptions, and trade-offs into clear narratives for Finance and senior leadership, including live VP-level discussions
  • Evaluate the impact of key drivers, uncertainties, and evolving conditions to inform planning and decision-making
  • Establish best practices for forecasting, validation, and reporting, and mentor other Data Scientists contributing to revenue-related work

What you’ll bring:

  • 8+ years of experience in data science, analytics, or applied quantitative roles, with demonstrated ownership of complex, business-critical analytical programs
  • Strong technical foundation, including advanced Python and SQL, with experience building, validating, and maintaining forecasting or decision-support models
  • Demonstrated ability to exercise sound judgment in ambiguous environments—balancing rigor with pragmatism to deliver directional, decision-ready insights when perfect precision is not possible
  • Proven ability to communicate complex analyses clearly to senior stakeholders, including presenting live to executives and handling questions with confidence
  • Track record of partnering closely with Finance or similar stakeholders to inform planning and strategic decisions
  • Demonstrated leadership through mentoring other Data Scientists and establishing best practices within a functional area
  • Commitment to our values:
  • Welcoming differences
  • Being relationship-minded
  • Practicing responsible participation
  • Having grit

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)

About Mozilla

Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.

Commitment to diversity, equity, inclusion, and belonging

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Group: C

#LI-DNI

Req ID: R2950

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Навыки

  • Python
  • SQL
  • Forecasting
  • Data Science
  • Analytics
  • Stakeholder Management
  • Mentoring
  • Financial Modeling

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