Top Data & Analytics Jobs
The Data Scientist in Product Analytics at Peloton will focus on optimizing engagement products. Responsibilities include owning analytics for workstreams, conducting A/B tests, and collaborating with cross-functional teams to inform product strategies. This role requires a strong understanding of user behavior and data analysis to enhance user journeys and project success metrics.
As a Machine Learning Engineer at Peloton, you will enhance NLP/NLU capabilities by building and deploying machine learning models, conducting experiments, and optimizing search algorithms. You will work with other team members to address challenges in natural language processing and improve fitness content through AI techniques.
The Senior Content Analyst focuses on enhancing AI-driven self-service tools for Peloton's Member Support. Responsibilities include collaborating on technical documentation, analyzing self-service tool performance, collecting data for system improvements, user testing, and strategic innovation to improve customer satisfaction.
The Senior Marketing Data Scientist will develop data models to enhance customer segmentation and marketing strategies. They will oversee A/B testing, analyze channel performance, and maintain CRM data infrastructure in collaboration with the Analytics Engineering team, ensuring optimal communication and reporting.
The Senior Data Scientist will own analytics for multiple core workstreams, collaborating with cross-functional teams to understand user interactions with Peloton products, define KPIs, evaluate engagement trends, and provide data-driven insights for product strategy and improvements.
As a Member Support Real-Time Analyst, you'll manage intraday queue performance and schedule adherence in the Global Member Support team at Peloton. Responsibilities include monitoring work statuses, responding to fluctuations in contact volume, and identifying staffing levers to optimize service levels.
As a Data Scientist at Peloton, you will analyze data to uncover insights that drive operational efficiency and member satisfaction. Responsibilities include collaboration on measurement strategies, development of optimization models, and creating dashboards to report on key metrics. You will also communicate findings to stakeholders to influence decision-making.
The Marketing Automation Analyst at Peloton will lead the development of MarTech requirements, manage requests from marketing teams, educate stakeholders about product recommendations, brainstorm solutions, monitor KPIs, and ensure alignment with marketing objectives.
The Machine Learning Engineer at Peloton will drive personalization and recommendations through optimizing engagement with fitness content. Responsible for building ML pipelines, researching ML techniques, evaluating models, and running tests to enhance user experiences, this role requires strong collaboration with cross-functional teams.
The Senior Systems Analyst will enhance and maintain warehouse and transportation management systems, improve inventory accuracy, and reduce friction points between integrated systems. Responsibilities include analyzing system process problems, developing business requirements for projects, and collaborating with cross-functional teams for system changes and improvements.
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