Data Scientist

Grammarly team members in this role must be based in Berlin or Kyiv, and they must be able to collaborate in person at least two days per week

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 40 million people and 50,000 organizations. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of the Fortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we’re looking for a Data Scientist to join our growing Data team and community. Data scientists on our team work closely with cross-functional partners in Product and Engineering to define and improve Grammarly’s core product experience. Our mission is to build great products using data—products that directly and elegantly address real user needs, provide high-quality, trustworthy suggestions, and are easy to use and deeply integrated into users’ workflows. Data science is central to how we evolve the product, grounding roadmap decisions in user behavior insights and enabling rapid iteration through experimentation.

The Grammarly data teams are trusted subject matter experts who uncover new insights to inform marketing, product, and growth strategies that drive outcomes at the highest levels of the company. We have large datasets and are looking for folks with deep technical and analytical skills who can 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.

As a Data Scientist, you will: 

• Leverage various data science methods such as statistical modeling and causal inference to optimize the product experience.
• Tackle some of our company's most challenging and critical data problems today, which will shape Grammarly’s growth.
• Create, analyze, and monitor crucial metrics and indicators that reflect Grammarly's product quality and user engagement, directly supporting the mission of rapid product iteration based on solid data.
• Examine the effects of user engagement in product experiments, aiding teams in making informed decisions. 
• Collaborate with Product and  Engineering teams to set up, test, and evaluate hypotheses. This central role in testing and iteration is vital for the team's product development strategy.
• Collaborate with other Data Scientists to continue enhancing the methodologies and practices used across the team and leveraging the newest technological developments in the industry.

Qualifications

• Holds a PhD or Master’s degree in a quantitative field.
• Has 5+ years of relevant work experience.
• Has a strong understanding of statistical concepts with practical application in business environments, including A/B testing, offline evaluations, and metric validation.
• Knowledgeable in standard regression and classification methods, beneficial for developing and validating metrics. 
• Experienced in A/B testing and other measurement strategies to discern correlational and causal relationships among variables. 
• Skilled in SQL, Python, PySpark, etc., ensuring accurate and efficient data retrieval for analysis.
• Has a self-starting growth mindset and strong communication skills, translating technical insights into impactful business recommendations.
• Can collaborate with cross-functional teams, such as Engineering, Product, and Data Platforms, to define metrics that align with the organizational vision and measure performance.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.

Support for you, professionally and personally

• Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement 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. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs. 
• Comprehensive benefits for candidates based in Germany: Grammarly offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, 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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