Consumer Reports is looking to drive strategic growth through data-driven insights and product development, and is seeking a Senior Data Scientist to lead the identification and prioritization of data analysis needs and develop innovative approaches to developing new products and insights.
Requirements
- Master’s Degree in statistics, information science, math, physics or a related field OR 7 years of relevant experience.
- At least six years of experience in applied data science with a focus on consumer data product and solutions development.
- Ability to apply appropriate data analysis techniques including predictive modeling and regression, and demonstrated understanding of advanced statistical topics such as experimental design and linear models.
- Strong data wrangling skills, feature modeling, and experience cleaning and optimizing text data for analysis.
- PhD (preferred)
- B2B experience (preferred)
Responsibilities
- Understand, identify and prioritize organizational product and solutions needs and assess their feasibility given available internal and external data sources.
- Offer innovative approaches to data collection, synthesis and analysis to best meet internal and external client needs and priorities.
- Develop enterprise-wide data platforms that maximize CR’s ability to use and share data.
- Lead cross-divisional teams to collect, aggregate, and analyze data from multiple internal and external sources to develop advanced products and solutions.
- Work across business, research and testing teams to establish, reinforce, and adhere to consistent data analysis standards, adhering to CR’s commitment to rigor, objectivity, and quality.
- Identify opportunities for new and expanded use of existing data to meet internal and external client needs and maintain CR’s position as a leader in product ratings and consumer insights.
Other
- Meet deadlines and deliver fully executed solutions and products in client-driven settings.
- Ability to work in a hybrid position.
- Not eligible for sponsorship.
- Master’s Degree (required)
- Ability to inspire the next generation of Data Science Professionals
