Senior Data Scientist, Experimentation Platform

Grammarly is excited to offer a remote-first hybrid working model. Team members work primarily remotely in the United States, Canada, Ukraine, Germany, Poland, or Portugal. 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 the United States or Canada, 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 

Every day, tens of millions of people and 50,000 professional teams rely on Grammarly’s AI-enabled communication assistance to help them communicate confidently and achieve their goals. Our team members have the autonomy to take on exciting challenges in pursuit of our mission to improve lives by improving communication. Together, we’re building on more than a decade of steady growth and profitability. We’re defining the communication assistance category for individuals, enterprises, and developers with tailored service offerings: Grammarly Premium, Grammarly Business, Grammarly for Education, and Grammarly for Developers. All of this begins with our team collaborating in an inclusive, values-driven, and learning-oriented environment.

To achieve our ambitious goals, we’re looking for an experienced Data Scientist to own Grammarly's experimentation framework from the perspective of statistical testing and metrics. This role requires deep domain knowledge of statistical methods, experimentation best practices, experience developing experimentation platform tooling, and technical leadership skills. A Data Scientist in this role would:

• Shape the roadmap and experimentation best practices for teams across Grammarly.
• Advance our statistical rigor and methodologies.
• Accelerate the cadence and quality of experiments.
• Partner closely with Engineering to enable our ability to scale.

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 deep technical and analytical skills to break down complex business problems and provide solutions with high visibility and impact for the company.

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 in this role, you will: 

• Take on a broad scope of work and an evolving role at a rapidly growing company.
• Evaluate current experimentation practices across the organization and identify opportunities for improvement.
• Develop best practices for experimentation capabilities across the organization.
• Collaborate with cross-functional teams, including engineering, product, and marketing, to define and track key performance indicators (KPIs) for experiments.
• Conduct literature reviews and share best practices with the organization, providing guidance and support for stakeholders involved in experimentation design and review
• Conduct deep-dive analyses into user behavior.
• Drive direction on the Product and Growth teams.
• Opportunity-size new strategic levers.
• Provide data-driven solutions to complex product and growth questions.

We’re looking for someone who

• Embodies our EAGER valu