Data Scientist, Growth

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 Growth Data Science team. In this role, candidates will partner closely with our product, engineering, growth, and/or lifecycle marketing stakeholders. They will be responsible for designing and overseeing product experiments, as well as conducting complex analyses to inform product strategy through advanced analytics and machine learning. The ideal candidate will have a strong track record of delivering impactful analytical projects within the Growth domain and partnering with cross-functional peers to guide and influence decision-making.

Grammarly’s 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 seeking individuals with excellent 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.

As a Data Scientist, you will:

• Partner closely with growth product, engineering, design, growth, and lifecycle marketing teams.
• Build new metrics that deliver insights and expand our understanding of our users.
• Mine large datasets to uncover patterns across our users’ behaviors, enabling new marketing touchpoints.
• Design and run experiments to improve the user experience across our user lifecycle.
• Optimize marketing across our email, in-product, and push channels to ensure we send relevant, timely, personalized touchpoints to our users.
• Guide your stakeholders’ decisions and roadmaps with informative, evidence-based decision-making.
• Take on a broad and challenging scope of work in a rapidly evolving company.
• Drive impact through statistical methodologies, algorithms, and measurement frameworks.
• Collaborate with other data scientists to continue improving the methodologies and practices used across the team, leveraging the latest technological developments in the industry.
• Develop causal inference and machine learning models that deepen user insights and drive engagement, retention, and feature adoption.

Qualifications

• Has 4+ years of relevant work experience with a proven track record of applying data science methods that drive impact.
• Fluency in Python and SQL with strong data exploration and manipulation skills.
• Has a firm grasp on how to best dig into and analyze datasets that influence the product roadmap.
• Strong understanding of statistical methods, including causal inference, to support data-driven decision-making.
• Is well-versed in hypothesis A/B testing as well as exploratory methods, and can translate business questions into sound experimental frameworks and measurement plans.
• Experience building causal inference models in the product growth space.
• 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.
• 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.
• Ability to collaborate in person in the New York City hub.

Compensation and Benefits

Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more:

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) matching
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.

Zone 1: $175,000 to $220,000 USD