Data Scientist III (Product Analytics)

Data Scientist III (Product Analytics) at Cedar New York, NY, United States Our healthcare system is the leading cause of personal bankruptcy in the U.S. Every year, over 50 million Americans suffer adverse financial consequences as a result of seeking care, from lower credit scores to garnished wages. The challenge is only getting worse, as high deductible health plans are the fastest growing plan design in the U.S. Cedar's mission is to leverage data science, smart product design and personalization to make healthcare more affordable and accessible. Today, healthcare providers still engage with its consumers in a "one-size-fits-all" approach; and Cedar is excited to leverage consumer best practices to deliver a superior experience.

Background:

Cedar is a patient payment and engagement platform that leverages data science, AI, consumer-centric design and technology to improve the healthcare experience for patients. The Data Science team plays a critical role in achieving Cedar's vision. We ensure data and insights are accessible and trusted by all internal and external stakeholders to enable data-driven decision-making. Through analytics, descriptive analyses, and statistical models, we consistently aim to better understand the needs of patients, find improvement opportunities, and impact the product development process. We run experiments to test our various hypotheses and measure our progress. We build ML models and embed them into our web app to deliver a personalized experience to patients. We help differentiate Cedar's product offerings with hard-to-copy competitive advantages. To do this, we have built an open, supportive, and collaborative team culture. "Love thy teammate" is one of our Data Science values, and we live into this value by operating from a mindset of curiosity, possibility, and the best intentions of each of our team members. As a team, we are dedicated to continually growing our technical excellence and collaborative excellence, equally.

The Role:

Cedar is growing rapidly and the demand for data expertise is increasing exponentially along with our growth. We're seeking a Data Scientist III (Product Analytics) on our Data Science team to work with our product development teams to enable robust data-driven decisions and understand user behavior through in-depth data analysis. As a Data Scientist III (Product Analytics), you will be responsible for ensuring that we are building world-class products that truly address the needs of our users and customers through data insights. You will identify clear and strategic product opportunities, measure the success of our products and AI personalization platform, understand product strengths and areas for improvement - by immersing yourself in Cedar data and the stories that it tells. You will continuously apply a growth mindset in your approach to problems.

Responsibilities:

Partner with the Product, Design, and Engineering teams to develop an understanding of user behavior and opportunities for product improvement using data Influence data focused decision making on product teams to move metrics and improve the patient experience Perform exploratory research to provide product teams with new strategic ideas and levers to improve impactful metrics Analyze, measure, and track the performance and success of product features Identify data insights and recommendations for product teams to act and iterate on Ideate, design, and evaluate product experiments Build dashboards and visualizations to democratize data insights Present and clearly communicate data findings and underlying methodology to partners across all levels of the organization Think from the perspective of a user and develop expert intuition of Cedar's data models and product

Skills and Experience:

5+ years of experience in an analytical role, bonus points for healthcare, fintech, e-commerce, or other related industries A go-getter attitude, passion for delivering a world-class product experience, and a mindset focused on growth and learning An analytical attitude and passion for finding opportunities and insights within data Understanding of statistical methods for research and experimentation purposes Experience collaborating with product, design, and engineering teams SQL and Python expertise is a must-have Experience with dbt, Hex, and Looker is a nice to have Compensation Range and Benefits Salary/Hourly Rate Range•: $153,000 - $180,000 This role is equity eligible This role offers a competitive benefits and wellness package •Subject to location, experience, and education