Data Scientist, SEO

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 Senior Data Scientist to join our Data Engineering and Intelligence team. This candidate will partner with our SEO Marketing team to accelerate SEO growth  ideal candidate will have a strong track record of delivering impactful analytical projects within the SEO domain and partner with cross-functional peers to guide and influence decision-making.

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.

In this role, you will:

• Become a part of the core team focused on SEO growth for the company – a company-level objective.
• Own the metric development for the SEO space, partnering with cross-functional members to ensure clear and actionable insights.
• Design and run SEO experiments leveraging advanced statistical methodologies, including causal inference.
• Be the Data science thought leader for the cross-functional working group and provide evidenced-based guidance.
• Provide actionable insights and recommendations to improve our SEO performance by leveraging your deep expertise in the SEO and Data Science fields.
• Co-own the strategy, prioritization, and roadmap for SEO growth at the company.
• Collaborate directly with Marketing, Growth, and Engineering teams.
• Apply machine learning to identify the most critical web architecture components that drive beneficial SEO growth.
• Recruit, guide, and mentor junior and mid-level Data Scientists to create a best-in-class Data Science organization.
• Collaborate with other Data Scientists to continue to enhance the methodologies and practices used across the team that leverage the newest technological developments in the industry.

• 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 3 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 8+ years of relevant work experience with a proven track record of applying data science methods within the SEO domain.
• Is fluent in SQL with strong data exploration and manipulation skills.
• Is proficient in Python, R, or similar programming language.
• Has an understanding of causal inference methods and their application and ability to apply machine learning techniques when necessary.
• Has firm knowledge of experiment design and A/B and MVT testing.
• Is comfortable working with clickstream and web event-related data.
• Has a self-starting growth mindset and strong communication skills, translating technical insights into impactful…