Weee! is looking to solve the problem of defining strategy, guiding operations, and KPIs, and impacting how they build experiences and products by leveraging user behavioral data
Requirements
- MS or Ph.D. or equivalent experience in a quantitative field such as computer or data science, math, statistics, or physics
- 2+ years of experience in developing and deploying machine learning or deep learning models in a professional setting
- Domains of expertise should include at least one of the following: collaborative filtering, content based recommender systems, link-click prediction, predictive customer targeting
- Advanced SQL skills
Responsibilities
- Apply advanced knowledge of SQL and the ability to build complex modeling features
- Build machine learning models that leverage our unique data sources to recommend optimal product, offer, content, and information
- Build end-to-end infrastructure from exploring your data, designing, deploying, testing, to monitoring your own models
- Help identify new opportunities by applying machine learning and statistical models for improved business outcomes
Other
- MS or Ph.D. or equivalent experience in a quantitative field
- Ability to work in a fast-paced start-up environment and deliver excellent results
- Strong communication skills, and ability to work with multiple stakeholders
- Be a self-starter, eager to learn, and motivated by a passion for developing the best possible solutions to problems
- This role is onsite 5 days a week in Fremont, CA
