Sr. Manager, Lead Data Scientist

New York, New York

Applications have closed
Peloton logo

Peloton

Access high-energy indoor cycling workouts instantly. Discover the Peloton bike: the only exercise bike streaming indoor cycling classes to your home live and on-demand.

View all employer listings

THE ROLE

The Supply Chain Analytics team at Peloton is responsible for data, analytics, and predictive modeling to accelerate and optimize connected fitness growth across the supply chain. This position will drive analytics and data science models as it is related to end-to-end integration of the Peloton Supply Chain, enabling significant scale and growth for the organization. This role reports directly to the Director, Supply Chain Analytics.

As a Lead Data Scientist, you will serve as a team leader for data science projects, collaborating with program / product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role will also present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions.

Job Responsibilities 

  • Skillfully design and develop algorithms and models to use against large datasets to create business insights
  • Coach and continuously develop analytics and data science talent within the organization 
  • Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners
  • Leverage supply chain and business knowledge to create robust solutions that drive value for the organization
  • Manage internal controls including project intake and prioritize multiple requests from executive and cross-functional partners for both ad-hoc and repeatable support
  • Support strategy for supply chain data and analytics transformation journey
  • Perform ad hoc analysis and deep dive investigations to generate actionable insights
  • Collaborate with Analytics Engineers to maintain and update ETL jobs, data models, and advanced analytical models
  • Deep understanding of IT needs for the team to be successful in tackling business problem

Education & Experience 

  • BA/BS degree, preferably in a technical field
  • 6+ years of professional experience in analytics or data science field
  • Practical experience in applied statistics and data science methodologies (e.g. data modeling and predictive analytics, multivariate regression analysis, machine learning)
  • Strong experience with SQL and working with large sets of data.
  • Strong experience with Python/R for data wrangling, modeling, and analyses
  • Experience with data visualization products such as Looker or Tableau
  • Comfortable with spreadsheet and presentation tools (Excel, Powerpoint)
  • Strong presentation skills and ability to effectively communicate complicated analyses to non-technical team members
  • Capable of managing multiple projects and prioritizing deadlines
  • Ability to establish and maintain relationships with key stakeholders

ABOUT PELOTON:

Peloton uses technology + design to connect the world through fitness, empowering people to be the best version of themselves anywhere, anytime. We have reinvented the fitness industry by developing a first-of-its-kind subscription platform. Seamlessly combining hardware, software, and streaming technology, we create digital fitness and wellness content and products that Members love. In 2020 Peloton committed to becoming an antiracist organization with the launch of the Peloton Pledge. Learn more, here.

“Together We Go Far” means that we are greater than the sum of our parts, stronger collectively when each one of us is at our best. In order to be the best version of Peloton, we are deeply committed to building a diverse workforce and inclusive culture where all of our team members can be the best version of themselves. This work has no endpoint; it is the constant work of running an organization that strives to reach its full potential. As a first step in our commitment, we announced the Peloton Pledge to invest $100 million over the next four years to fight racial injustice and inequity in our world, and to promote health and wellbeing for all, from the inside out.

Peloton is an equal opportunity employer and committed to creating an inclusive environment for all of our applicants. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. If you would like to request any accommodations from application through to interview, please email:  applicantaccommodations@onepeloton.com

 

Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address. 

If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence.

 

Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.

Tags: Consulting Data visualization ETL Excel Looker Machine Learning Predictive modeling Python R SQL Statistics Streaming Tableau

Perks/benefits: Career development Health care

Region: North America
Country: United States
Job stats:  8  0  0

Other jobs like this

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.