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.