Data Scientist, Growth (Monetization)

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 growth team. The perfect candidate will understand product development well and have proven experience helping businesses grow. They will also know how to find and use key strategic opportunities, be a supportive team member who can simply explain complex data, and work collaboratively to build ML solutions and drive growth. 

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 strong technical and analytical skills to break down complex business problems and provide solutions with high visibility and impact.

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, Growth, you will: 

• Develop, monitor, and refine key metrics that track user acquisition, activation, retention, and churn. Analyze trends and patterns to uncover insights that drive growth strategies and initiatives.
• Develop machine learning models to drive personalized user experiences. Utilize predictive analytics to tailor engagement strategies, enhancing satisfaction and retention across diverse user segments.
• Work closely with the Marketing, Product, and Engineering teams to design, execute, and analyze A/B tests and other experiments. Use insights from these experiments to for user and small-business engagement strategies, optimizing the funnel from awareness to loyalty.
• Collaborate with Data Engineering to improve data collection and analysis methods focused on growth metrics. Ensure the data infrastructure supports scalable action for the growth of the user and small-business g insight.
• Advocate for the use of data in all aspects of Growth strategies. Show how data-driven decisions can enhance user acquisition, conversion, and retention, contributing to overall business success.
• Identify and leverage data-driven insights to uncover new opportunities for Grammarly’s growth. Focus on connecting more users and small businesses to Grammarly's value, directly contributing to the product's user base.

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. Experience with machine learning and model-building is highly valued.
• Has firm knowledge of experiment design, including translating business questions into experimental frameworks and measurement plans and choosing suitable statistical techniques for analysis.
• Is proficient in conducting experiments and effectively communicating the results to stakeholders.
• 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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