Senior Data Scientist

Los Angeles, CA, United States

About Calm

Calm is on a mission to support everyone on every step of their mental health journey. With the #1 app for sleep, meditation and relaxation as well as a growing library of digital, evidence-based mental health programs, Calm offers trusted support for individuals and organizations alike. Our flagship consumer app provides personalized content and activities - featuring a range of experts and beloved celebrity voices - to help users manage stress, improve sleep and live mindfully. Our workplace and healthcare solutions offer a consumer-friendly approach to clinical content and HIPAA-compliant resources in order to drive positive health and business outcomes. Named a TIME100 Most Influential Company, Calm supports more than 150 million people and 3,500 organizations across seven languages and 190 countries.

What We Do

The data science team focuses on helping drive business outcomes across Calm. 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-we always rely on data to drive our solutions.

We are hiring remote workers for this role in the San Francisco Bay Area, Los Angeles, or NYC areas. At this time, only candidates in these locations will be considered.

What You'll Do

As a Senior Data Scientist you will partner with our Growth Marketing and Product teams to integrate data science solutions into the overall subscriber growth strategy. You will be responsible for applying the scientific method to our growth marketing efforts through various vehicles, such as building machine learning models to optimize paid user acquisition campaigns and conducting A/B testing to evaluate the effectiveness of different acquisition strategies.

You will:

Develop and improve upon existing methods to measure our ad attribution and ROI

Improve existing machine learning data products that help media buyers make buying decisions

Be an accountable stakeholder in Growth Marketing business decisions and strategies.

Design experiments to calibrate channel attribution methodology against the ground truth

Conduct in-depth post-campaign analysis or set up experiments to help the team understand performance and opportunities for improved targeting

Some past projects include: An end-to-end development and deployment of a user-level LTV model

The design and analysis of a quasi-experiment to evaluate the effect of spending in paid media channels on organic growth

Analysis of A/B tests to evaluate the incremental subscriber and revenue impact of email and push campaigns

Development of a media-mix model to quantify incremental revenue impact and ROI of marketing and non-marketing activities

Who You Are Proficiency with data modeling and analyzing large scale data with modern cloud computing platforms. Experience with dbt strongly preferred

Strong proficiency in SQL

Strong proficiency in Python

Experience building models to solve complex marketing problems (e.g., MMM, multi-touch attribution, LTV, churn)

Experience building and maintaining offline supervised machine learning models

Experience with data pipeline development tools in a modern data stack such as dbt, Databricks, Redshift, BigQuery, and Airflow

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

Strong relationship management and presentation skills

Pragmatism: balancing scrappiness and rigor

Nice to Haves Prior work experience in a consumer subscription business

Experience building machine learning performance monitoring systems

An understanding of mobile app ad attribution post iOS14.

Prior work leveraging ad platforms and building off of their APIs for automation

Minimum Requirements This role typically requires 8 years of related experience

The anticipated salary range for this position is $185,500-$259,700. 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 geographic location, skills, experience and other qualifications. This role is also eligible for equity + comprehensive benefits + 401k + flexible time off.

Please note that Calm may leverage artificial intelligence technology in the application review process.

Calm is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. Please contact Calm's Recruiting team if you need a reasonable accommodation, assistance completing any forms, or to otherwise participate in the application process. You can reach the Recruiting team at [email protected]

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.

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. Right to Work

E-Verify Participation

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