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Data Scientist
Data ScientistCalm • Minneapolis, Minnesota, United States
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Data Scientist

Data Scientist

Calm • Minneapolis, Minnesota, United States
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About Calm

Calm is a leading consumer mental health company on a mission to support everyone on every step of their mental health journey. Known for its flagship consumer app—ranked #1 in its category with over 180 million downloads and availability in seven languages across 190 countries—Calm helps people sleep better, stress less, and live more mindfully through content and tools from experts and beloved celebrity voices. Building on this foundation, Calm has created a broader portfolio including evidence-based solutions like Calm Health, offered through employers, health plans and providers, designed to expand access to mental health and sleep support, boost benefits engagement, and drive positive health outcomes. Today, Calm supports more than 3,500 organizations and reaches over 17 million covered lives through Calm Health. Calm has been recognized as a TIME100 Most Influential Company and one of Fast Company’s Brands That Matter.

Location

We are hiring primarily remote team members for this role, based in the San Francisco Bay Area, Los Angeles, New York City, or Minneapolis areas. While the role is primarily remote, you may be asked to come into the office as needed for in‑person collaboration or team events. At this time, only candidates currently living in one of these locations will be considered. We’re currently unable to consider candidates outside these areas or offer relocation.

What We Do

We are a team of insights specialists that focus on finding insights relevant to driving business outcomes across the Calm organization. For us, the business problem comes first (what are we trying to solve?) and the analysis follows (how do we best solve this problem?). Sometimes the solution is straightforward and sometimes it is highly complex, but in all cases we rely on data to drive our solutions.

What You’ll Do

As a Data Scientist you will be focused on leveraging our data to help prioritize product development, identify optimization opportunities, and automate data flows and analyses for key decision makers. In this role, your initial analytics efforts will be focused on supporting stakeholders across multiple areas of the business (primarily product and growth marketing). This position is ideal for candidates with a proclivity for diving into new domains and building business intuition. Core responsibilities include :

Collaborate with stakeholders across product and growth marketing to analyze and communicate how trends in key metrics affect business performance

Partner with product teams to perform deep‑dive analysis to understand user engagement behavior

Design, implement and analyze experiments to measure the impact of new features on core product metrics

Collaborate with partners across technical and non‑technical teams to bridge the gap between data and action

Help key‑decision makers stay informed about the state of the business through internal data products built in tools like Amplitude, Tableau and Mode

Develop strong cross‑functional partnerships across Calm to drive our team's success

Who You Are

Strong proficiency in SQL

Comfortable manipulating data with Python or R

Experience with experimentation

Ability to translate non‑technical business requirements into technical solutions, and translate technical solutions to business outcomes

Strong relationship management and presentation skills

Pragmatic : balance scrappiness and rigor

This role generally requires 5 years of relevant experience

3+ years of analytics / data science experience

The anticipated salary range for this position is $147,600 - $205,000. The base salary range represents the low and high end of Calm’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate’s skills, experience, and other qualifications. This role is also eligible for equity + comprehensive benefits + 401k + flexible time off.

Calm may incorporate artificial intelligence technology to support the application review process, but rest assured that human reviewers are involved in all stages of the hiring process.

Calm is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you require a reasonable accommodation to complete any part of the application or interview process, please contact Calm’s Recruiting team at recruitingaccommodations@calm.com. All accommodation requests will be handled confidentially and assessed on a case‑by‑case basis.

We believe that mental health is health, and every person should be considered in the discussion. That’s why we’re proud to be an equal opportunity workplace, committed to providing equal employment opportunities to all applicants and employees regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.

Calm is deeply committed to diversity, equity and inclusion. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination.

Employment offers are contingent upon the successful completion of a background check. Roles which require access to certain types of information may also require the successful completion of a drug screening.

FOR US BASED POSITIONS : Calm participates in e‑verify. E‑verify provides the federal government with your Form I‑9 information to confirm that you are authorized to work in the U.S.

Interested in building your career at Calm.com? Get future opportunities sent straight to your email.

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Data Scientist • Minneapolis, Minnesota, United States

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