Data Scientist

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.

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

• 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 or growth domain.
• 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

Superhuman 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

Superhuman 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: $225,000 to $275,000 USD

We encourage you to apply

At Superhuman, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).