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 The WW Data Science team is looking for a new senior member to help us build predictive models, recommenders, and data enrichment algorithms to improve the lives of WW’s millions of daily active members. We’re a small but mighty team that believes in taking ownership of a project from working with stakeholders to scope it out to bringing it to life in production. Our projects have the opportunity to reach members in many different ways, e.g. by supporting them in tracking their progress, finding relevant information, and building a supportive community. WW is inherently a data product and we can leverage our data—a massive longitudinal dataset across a wealth of touchpoints and millions of members in different geographies and demographics—to create a profoundly personalized and impactful experience. The Data Science team is a separate entity from the analytics, data warehousing and data engineering teams, freeing us up for a singular focus: building awesome data products. What you will do Partner with stakeholders across the organization to identify high-impact opportunities to leverage our extensive data to better serve our members. Lead the development of predictive and other machine-learned models to enhance user engagement and experience. Manage end-to-end workflow of projects including: delegating tasks with the rest of the team, communicating with our consumers and partners in dev and product, and implementing and shipping production-level code and deployments. Develop novel deployment and scaling strategies to more effectively run DS services. Explore and assess utility and potential of additional data sources, APIs, and methods (spanning areas such as statistics, deep learning, and natural language processing). Motivate and mentor other data scientists to grow their skills and careers. Peer review other data scientists’ contributions. Who you are In order to be able to hit the ground running, we expect that you have: 3 years of experience building and implementing machine-learned models in industry, ideally dealing with problems relevant to behavior change, community, product, and/or marketing. Experience leading end-to-end data science projects from initial scoping and development to deployment. Expert knowledge of Python and SQL for large-scale data analysis and modeling (e.g. sklearn, numpy, pandas). Deep experience with advanced modeling techniques, such as collaborative filtering and content-based recommenders, embedding models, time series analysis, classifiers, and natural language processing. Expert knowledge of software engineering best principles: git workflow, testing, and code review practices. 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.