The opportunity
Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, 30 million people and 30,000 teams around the world use our AI-powered writing assistant. All of this begins with our team collaborating in a values-driven and learning-oriented environment.
To achieve our ambitious goals, we’re looking for a Data Scientist to work with product partners by understanding our users, contributing to product/growth strategy, and developing fundamental measurement frameworks. This person will be a trusted subject matter expert who will uncover new insights to inform product/growth strategy. Data Scientists at Grammarly work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and need someone with deep technical and analytical skills to break down complex business problems to provide solutions.
Grammarly’s data scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist, you will:
- Have a broad scope and an evolving role in a rapidly growing company.
- Do deep-dive analyses into user behavior.
- Quantitatively study large user segments.
- Develop user segment targeting strategy.
- Drive direction on the Product and Growth teams.
- Identify new Product and Growth opportunities.
- Opportunity size new strategic levers.
- Provide data-driven solutions to complex product and growth questions.
- Define advanced metrics.
- Advise on experimentation strategy.
- Identify strategic data needs.
We’re looking for someone who
- Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
- Would be an influential and effective thought partner to our product teams who shows strong communication, proactiveness, creativity, and prioritization skills.
- Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
- Has experience helping others understand numbers.
- Has experience in data analysis, statistics, and experimentation.
- Is proficient with SQL as well as programming in Python, R, Scala, or an equivalent language.
- We are looking to hire candidates with varying years of experience in Data Science.
- Holds a PhD in a quantitative field or a master’s in a quantitative field with a minimum of 3 years of relevant working experience.
Support for you, professionally and personally
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Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback.
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A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs.
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Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package that includes superior health care. We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, admission discounts, and more.
We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Grammarly is an equal opportunity employer and participant in the U.S. Federal E-Verify program.