Data Science Intern

| Greater NYC Area
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Looking for a summer internship where you can apply your talents to a bigger purpose?

Not every company has the opportunity to impact the lives of millions, we do. 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. We are passionate about making a difference in lives of others and we want to start with you!

Summary of Role:

The data science team is looking for interns to contribute to the development of our production models, modeling infrastructure, and recommendation models. The team is a relatively new and growing team at WW, many of our projects are still in early phases, granting interns the ability to create high-impact work. Most data science projects are business critical, and the interns will benefit from the guidance of senior data scientists and data engineers while completing their projects. Data science internship experiences will vary from meeting with high-level stakeholders to working on custom machine learning implementations.

Key Responsibilities:

During the course of an internship, this data science intern will be responsible for translating business needs into modeling requirements. They will have to take ownership over the development of new models in the business back-end including customer lifetime value modeling, churn modeling, and member-response modeling. As part of model development, the summer intern will be expected to learn the ropes of our machine learning framework, aiding their work in creating feature pipelines, optimizing model hyper-parameters and deploying models into production. Summer interns will design AB tests to evaluate the efficacy of their models and work to publish the results of their models internally.

Skills and Requirements:

  • The data science team is looking for candidates with experience working with Python, R and SQL to develop machine learning models. Candidates should have experience with feature engineering, supervised learning, unsupervised learning, and deep-learning experience is a plus. Candidates with familiarity in subscriber-based modeling concepts such as churn, lifetime value, and segmentation are preferred. We also strongly value effective communication and data visualization skills used in translating complex topics to a non-technical audience.
  • Must be attending an accredited university
  • Completed 3 or more courses in your major
  • Cumulative GPA in your major of 3.0 or higher

WW is an equal opportunity employer. WW does 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.

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WW has always placed people and wellness at the center of our company. Work from Wherever (#WfW), WW’s global work philosophy, empowers our employees to shape when, where, and how they work to achieve the best possible results --- because we believe work is what you do, not where you do it.

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