WW is looking for candidates to help change people’s lives. We are a global wellness technology company inspiring millions of people to adopt healthy habits for real life. We do this through engaging digital experiences, face-to-face workshops and sustainable programs that encourage people to move more, shift their mindset and eat healthier while enjoying the foods they love. By drawing on over five decades of experience and expertise in behavioral science, we build communities in order to deliver wellness for all.
Who We Are:
As WW modernizes, the Data Analytics team is in a crucial position to impact the future of our products and business. We are looking for an experienced data analyst or scientist focused on impact to join our team of 15+ who drive a data-first culture across WW.
What you'll do:
Our team primarily supports the product management function (including growth) as thought partners on strategy through:
Ad-hoc analysis in support of Product initiatives,
The Design and analysis of AB tests and experiments,
Definition of and descriptive reporting on performance KPIs,
Research driven by you - If you have an idea, look into it! Either:
Analytics: Descriptive and inferential statistics, and/or
Data Science: Causal inference, bayesian statistics, cluster analysis, predictive modeling,
This is an IC role, with the additional responsibility of ensuring quality of work (via code review and pair programming) and promoting best practices (e.g. workflow development and toolset adoption) across the team. You will also have the opportunity to collaborate with our Data Engineering team (who maintain our data warehouse and ETLs) and our Data Science team (who focus on ML models running in production).
Who you are:
We understand that not all candidates will meet all qualifications - please consider applying if you are interested in this work and are aligned to the role.
Strong business sense and a desire to impact the direction of WW
Experience collaborating with product managers/working on software or apps
Expert SQL - This includes a) complex querying and b) an understanding of how to develop data infrastructure to more efficiently perform reproducible analyses of high-quality
Scientific Python or R
Experience with A/B testing design and analysis
Experience creating and evangelizing KPIs
Visualization Software (Looker, Tableau, etc.)
Github (or similar) familiar
Our titles cover more than one career level. The starting range for this role is $130,000 to $170,000 a year. Actual base pay may vary depending on, but not limited to: skills, education and years of experience. This role is also eligible for a comprehensive benefits package and annual bonus program.
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At WW, it is our priority to cultivate a diverse and inclusive workplace. We are committed as individuals, as an organization, and as fellow humans, to advocate for and support our employees, our members, and our communities. We are proud to be an equal opportunity employer and we do not discriminate on the basis of sex, race, color, creed, national origin, marital status, age, religion, sexual orientation, gender identity, gender expression, veteran status, or disability.