Sr. Data Scientist (Product Analytics)

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, 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.

We are also not doing this alone; we partner with the other Makers teams (Product, Engineering, Design, and User Research) to grow our impact. We also work with Commercial teams to evangelize our vision to clients and get market feedback on which pain points are the most urgent to solve.

You can read about some of our work on the Patient Experience Studio, a blog we share with the Design team.

The Role:

Cedar is growing rapidly and the demand for data expertise is increasing exponentially along with our growth. We’re seeking a Sr. Data Scientist (Product Analytics) on our Data Science team to lead product analytics, mentor other Data Scientists, and work with our product development teams to enable robust data-driven decisions and understand user behavior. 

As a Sr. Data Scientist (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, understand product strengths and areas for improvement - by being an expert in Cedar data and the stories that it tells. You will proactively lead projects that have cross-team impact. You will continuously apply a growth mindset in your approach to problems. You will help raise the bar of our data science work product by exuding a positive impact on the data science team and our cross functional partners

Responsibilities:

• Partner with the Product, Design, and Engineering teams to develop an understanding of user behavior and opportunities for product improvement using data
• Drive and 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
• Proactively determine areas where Data Science can help add strategic value
• Lead new team initiatives to help the Data Science team grow and scale
• Think from the perspe