Senior Data Scientist, Growth
at Superhuman
Hybrid, San Francisco, United States
About Superhuman
Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com.
The Opportunity
- 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
- 5+ 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.
- Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.
- Ability to collaborate in person in the San Francisco hub.
Compensation and Benefits
- 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
We encourage you to apply
#LI-Hybrid
