Data Scientist II, Commercial 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:

We’re seeking a Data Scientist - Commercial Analytics II to join our Commercial Analytics team and develop data insights that drive action.

The Commercial Analytics team’s goal is to enable our clients to understand, appreciate, and extract the most value out of their Cedar relationship and products. The team’s ambition is to satisfy and delight Cedar’s clients through access to data and insights that:

1. help them build trust in Cedar’s products and recognize the value they deliver, 
2. empower them to take advantage of Cedar’s varying features and levers to maximize value.

As a Data Scientist - Commercial Analytics II, you will be responsible for executing on scalable analytics, descriptive analyses, and ad-hoc requests. You will work cross-functionally with other teams at Cedar, especially client-facing teams, in order to communicate insights and drive outcomes together. You will develop expertise in working with complex data, using visualization tools such as Looker, and applying data to address ambiguous problems.

The Data Science team is based in NYC. Team members are expected to be in the office at least 3 days per week.

Responsibilities:

• Identify data-driven insights and recommendations to showcase the value of Cedar and our products to our clients
• Support prioritized ad-hoc data requests
• Partner closely with commercial-facing internal teams to empower data-driven decision making
• Develop scalable analytics tools and dashboards
• Present and clearly communicate data findings and underlying methodology to partners across all levels of the organization, including those without data backgrounds
• Collaborate with Data Engineers to design and build pipelines for analysis
• Understand the mechanics of Cedar’s platform and our data models
• Proactively determine areas where Data Science can help add value
• Knowledge of or experience in the healthcare industry is a plus

Skills and Experience:

• 3+ years of experience in an analytical role
• A proactive attitude, an ownership mentality, and a growth mindset
• An analytical perspective and passion for finding actionable opportunities and insights within complex data
• Ability to work in a fast paced environment and engage with non-technical partners to explain