Data Scientist, Core Product

Grammarly is excited to offer a remote-first hybrid working model. Team members work primarily remotely in the United States, Canada, Ukraine, Germany, or Poland. Certain roles have specific location requirements to facilitate collaboration at a particular Grammarly hub.

All roles have an in-person component: Conditions permitting, teams meet 2–4 weeks every quarter at one of Grammarly’s hubs in San Francisco, Kyiv, New York, Vancouver, and Berlin, or in a workspace in Kraków. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

Grammarly team members in this role must be based in Germany or Poland, and they must be able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub(s) where the team is based.

The opportunity 

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 professional teams every day. From instantly creating a first draft to perfecting every message, Grammarly’s product offerings help people at 96% of the Fortune 500 get their point across—and get results. Grammarly has been profitable for over a decade because we’ve stayed true to our values and built an enterprise-grade product that’s secure, reliable, and helps people do their best work—without selling their data. We’re proud to be one of Inc.’s best workplaces, a Glassdoor Best Place to Work, one of TIME’s 100 Most Influential Companies, and one of Fast Company’s Most Innovative Companies in AI. 

To achieve our ambitious goals, we’re looking for a talented Data Scientist to join our team and work on our core product features. The ideal candidate will have strong technical expertise and a keen product sense. A Data Scientist in this role would collaborate with cross-functional teams to develop data-driven solutions, driving decisions, strategies, or product improvements based on data collection, analysis, and interpretation. They would also:

• Analyze user behavior data to proactively identify usage patterns and trends of Grammarly genAi features and use them to drive product strategies.
• Collaborate with cross-functional teams to design and implement experiments and A/B tests to validate hypotheses and measure the impact of product changes.
• Work closely with Product Managers, Engineers, Researchers, and Designers to identify opportunities for data-driven product improvements.
• Communicate complex data analysis and insights to both technical and non-technical stakeholders. 

Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategies. Our Data Scientists 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 are looking for folks with great technical and analytical skills to break down complex business problems and provide solutions with high visibility and impact for the company.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

Your impact

As a Data Scientist, you will: 

• Design, build, and monitor critical metrics that reflect Grammarly’s core product’s health and user engagement. Dive into data to uncover insights that inform product strategy.
• Collaborate with product and engineering to design and analyze experiments. Your insights will guide iterative improvements and feature launches.
• Partner with Data Engineering to refine data collection and analysis practices, ensuring robust and scalable data insights back our decisions.
• Promote data-driven culture across teams, demonstrating how data influences product strategy and user experience enhancements.
• Directly impact our core product’s evolution by identifying data-informed opportunities for growth and innovation.

We’re looking for someone who

• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles, which are the blueprint for how things get done at Grammarly: move fast and learn faster, obsess about creating customer value, value impact over activity, and embrace healthy disagreement rooted in trust.
• Is able to collaborate in person 2 weeks per quarter, traveling when necessary to the hub where the team is based.
• Holds a PhD or master’s degree in a quantitative field preferred.
• Has 6+ years of relevant work experience with a proven track record of applying data science methods that drive impact.
• Is fluent in SQL with strong data exploration and manipulation skills.
• Is proficient in Python, R, or similar programming language.
• Has firm knowledge of experiment design, including translating business questions into experimental frameworks and measurement plans.
• Has a self-starting growth mindset and strong communication skills, translating technical insights into impactful business recommendations.
• Is a creative problem-solver who simplifies problems to their core elements.

Support for you, professionally and personally

• Professional growth: We hire people we trust and give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback.
• 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.
• Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing superior health care (including mental health benefits). We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, and more.

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply. Grammarly is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age.

For more details about the personal data Grammarly collects during the recruitment process, for what purposes, and how you can address your rights, please see the Grammarly Data Privacy Notice for Candidates here.

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All team members meeting in person for official Grammarly business or working from a hub location are strongly encouraged to be vaccinated against COVID-19.