About the role

Aplyr's Quick Take

This role is for a Data Scientist focused on product and growth strategies at Superhuman, which is part of Grammarly. You'll analyze large datasets, conduct experiments, and provide insights to influence product and marketing decisions. It's an individual contributor role that requires strong technical and analytical skills.

Good fit

Ideal candidates have a solid background in data science with experience in growth analytics and product strategy. You should be comfortable collaborating with cross-functional teams and have a track record of delivering impactful projects.

Worth noting

This position is hybrid but requires you to be based in the San Francisco Bay Area. The role emphasizes a strong team culture and collaboration, which may appeal to those who thrive in interactive environments.

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.

Superhuman team members for this role must be based in the San Francisco Bay Area.

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 and about our values here.

The Opportunity

To achieve our ambitious goals, we’re looking for experienced Data Scientists to join our Product and Growth Data Science teams. At Superhuman, 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.

Growth Data Scientists partner closely with our product, engineering, growth, and/or lifecycle marketing stakeholders. They are 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.

Product Data Scientists are responsible for evaluating the quality of the Superhuman products, end-to-end, from the usefulness and accuracy of our text suggestions to the stickiness of new AI features and user experiences and interfaces. Product Data Scientists serve as trusted experts for our team of product managers and product leaders to help drive product strategy based on data. They work with the PMs, engineering managers, software engineers, designers, ML engineers, and UX researchers who build new features and improve existing ones to ensure that our product development efforts are data-driven and that we are experimenting rapidly and effectively. This role provides an opportunity for ownership over important parts of the Superhuman product experience and broad cross-functional collaboration opportunities with our growth, ML/AI, and enterprise data science teams.

Superhuman’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

Skills & Tags

python go rust machine learning ai data analytics product

Aplyr's read

Grammarly is a leader in AI-driven writing enhancement, attracting diverse talent across tech and business roles to innovate communication solutions.
Synthesized from recent postings & public sources

What's promising

•Grammarly's AI technology significantly enhances writing clarity and correctness.
•The company offers diverse roles, from engineering to marketing, indicating growth opportunities.
•Grammarly's tools are widely used in education and business, ensuring a broad impact.

What to watch

•The competitive AI writing tool market may challenge Grammarly's market share.
•Rapid tech changes require constant adaptation, potentially leading to job instability.
•Limited public information about employee satisfaction and company culture.

Why Grammarly

•Grammarly's AI-driven tools focus on real-time writing improvement.
•The company serves a wide range of sectors, including education and business.
•Grammarly's product innovation is supported by a diverse range of specialized roles.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Grammarly

Grammarly

grammarly.com

View company

Grammarly is an AI-powered writing assistant that helps users enhance their writing by providing real-time grammar, punctuation, and style suggestions. Its impact extends to individuals, businesses, and educational institutions, improving communication and clarity in written content.