
The AI writing assistant that enhances your communication
Grammarly, headquartered in the Financial District of San Francisco, CA, is an AI-powered writing assistant that enhances communication for millions of users. With over 500,000 integrations across various applications, Grammarly has evolved from a student-focused subscription service to a mainstream...
Grammarly offers competitive benefits including equity, ample PTO, 401(k) matching, and support for home office setup. Employees enjoy catered lunches...
Grammarly fosters a culture centered on effective communication and innovation in AI technology. With a focus on remote work flexibility and a commitm...

Grammarly • San Francisco; Hybrid
Grammarly is seeking a Data Scientist to join their Product and Growth Data Science teams. You'll analyze large datasets to inform marketing, product, and growth strategies. This role requires strong technical and analytical skills.
You have a strong background in data science, with experience in analyzing large datasets to derive actionable insights. Your technical skills allow you to break down complex business problems and provide data-driven solutions that have a significant impact on company outcomes. You are comfortable working in a hybrid environment, balancing focus time with collaborative in-person sessions to foster team culture and innovation.
You possess excellent analytical skills and are adept at using various data analysis tools and methodologies. You understand the importance of data integrity and quality, ensuring that your analyses are based on reliable information. Your ability to communicate findings clearly to both technical and non-technical stakeholders is a key strength, enabling you to influence decision-making processes effectively.
You thrive in a fast-paced environment and are excited about the opportunity to work with cross-functional teams. Your passion for leveraging data to drive product and marketing strategies aligns with Superhuman's mission to enhance productivity through AI. You are eager to contribute to a team that values trust, collaboration, and innovation.
Experience with machine learning techniques and tools is a plus, as it can enhance your ability to derive insights from data. Familiarity with data visualization tools will also be beneficial in presenting your findings effectively.
As a Data Scientist at Superhuman, you will be responsible for analyzing large datasets to uncover insights that inform product and growth strategies. You will collaborate closely with product managers, engineers, and marketing teams to identify key metrics and develop analytical frameworks that drive decision-making. Your work will involve designing experiments, conducting A/B tests, and interpreting results to guide product development and marketing initiatives.
You will also be tasked with building and maintaining dashboards that track performance metrics, ensuring that stakeholders have access to real-time data. Your insights will help shape the direction of product features and marketing campaigns, ultimately contributing to the company's growth objectives.
In this role, you will have the opportunity to mentor junior data analysts and contribute to the development of best practices within the data science team. Your expertise will be invaluable in fostering a culture of data-driven decision-making across the organization.
Superhuman provides a dynamic hybrid working model that allows you to enjoy the benefits of both remote work and in-person collaboration. You will be part of a team that values innovation and creativity, working on products that empower millions of users worldwide. The company is committed to your professional growth and offers opportunities for continuous learning and development.
You will also enjoy a competitive compensation package, including benefits that support your well-being and work-life balance. Superhuman is dedicated to creating an inclusive environment where all team members can thrive, and we encourage you to apply even if your experience doesn't match every requirement.
Apply now or save it for later. Get alerts for similar jobs at Grammarly.