CR is seeking a Sr Data Scientist to join our Research and Analytics team! This Sr Data Scientist is responsible for leading data synthesis and analysis for all external facing products and content, in partnership with multiple CR teams. This role will take a leadership role in identifying and prioritizing the department’s and organization’s data analysis needs, and offer and execute innovative approaches to developing new products and insights. It also requires cross-divisional collaboration with various stakeholders to acquire and synthesize data, understand both internal and external analytic and product development goals, and communicate and package potential solutions effectively.   

 

Under our CRFlex program, this is a hybrid position and is eligible for remote work up to 90%. The successful candidate must reside within 75 miles of one of our main office locations (Yonkers, NY, Washington DC, Colchester CT).

 

This position is not eligible for sponsorship.

As Senior Data Scientist you will be responsible for supporting data and analytics-driven research and product development at Consumer Reports, using advanced data science models & statistical analysis, data mining, and data visualization techniques, you will leverage and synthesize data from various sources to enable decision-making. You will be exploring new opportunities in our data, driving new data science techniques against the data and enabling CR teams to gain insights.

The Senior Data Scientist will act as an agent for change in democratizing data by mentoring and training analysts, junior researchers, data scientists and engineers and the growth and development of the team and the organization. 

You’ll Be Highly Rated If:

• You have a Masters or PHD -  in Statistics, Mathematics or a related field. 
• You have a minimum of six years of experience - in applied data science with a focus on product and solutions development.
• You have experience in the following:
  • R studio, python, dataiku or databricks
  • AI/ML NLP, LLM, Neural Networks and transformers, Recommendation engine
  • data science pipeline including sparks and kubernetes
• You have the ability to tackle AI/ML use cases - as part of a cross-functional team consisting of data scientists, researchers and business users
• You have deep understanding- of the state-of-the-art in AI/ML and enterprise implementation
• You have superior data wrangling skills
• You are able to think outside the box -  you have the ability to be successful when ideal inputs are not available

You'll Be One Of Our Top Picks If:

• You have a PHD - in Statistics, Mathematics or other related field

 

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Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for consumers. Our team is made up of truth tellers, change agents, and consumer advocates who investigate and build coalitions to fight for fairness and justice in the marketplace. We leverage our evidence-based approach to demand safer products, a healthier environment, and equitable services for everyone.

Our mission starts with you. We offer medical benefits from that start on your first day as a CR employee that include behavioral health coverage and unlimited sick days. There’s also generous family planning benefits and a generous 401K match. Learn more about how CR’s advocates for strong benefits on behalf of their employees here: https://www.consumerreports.org/cro/careers/landing-page/index.htm

At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation. The target salary range for this position is $120k to $140k. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate’s particular combination of knowledge, skills, competencies, and experience.

Consumer Reports proudly seeks to build a richly diverse workforce by hiring people with a diversity of thoughts, identities, perspectives, and experiences that help advance the difference we make for consumers, and by ensuring our people experience equity and inclusion in their work lives. We encourage members of traditionally underrepresented communities to apply, including women, LGBTQIA people, people of color, and people with disabilities.