Data Scientist, Quality

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Engineering ∙ Hybrid - Germany

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 Data Scientist to join our growing Data team and community. This role is integral to Grammarly's Platform Data Science team and involves close partnership with the Quality organization. The Quality organization equips teams, all Grammarly employees, and ultimately the users with comprehensive, understandable, and actionable insights into the effectiveness of our features in addressing user issues. The position facilitates rapid, data-informed product evolution through established quality metrics and evaluation tools. 

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.

Your impact

As a Data Scientist, Quality, you will: 

  • Leverage various data science methods such as machine learning, statistical modeling, and causal inference to understand Enterprise account behavior and 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 on product and marketing experiments, aiding teams in making informed decisions. 
  • Collaborate with Product, Marketing, 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.

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 if necessary to the hub where the team is based.
  • 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.

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. Note that benefits may differ by location.

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.

 

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