Data Scientist III / Lead (Product Analytics)
New York City, United States
Cedar
Cedar’s enterprise healthcare fintech platform reduces administrative friction, yielding better outcomes for providers, payers & patients.U.S. healthcare is frustrating and deeply flawed. Cedar’s mission is to drive better outcomes for everyone involved, including providers, insurance companies and the people they serve. At a time when consumer-friendly healthcare experiences are more critical than ever, our platform is uniquely equipped to solve problems that lead to billing issues and administrative waste. At Cedar, know that your work will have a meaningful impact on people’s lives.
Background:
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 Data Scientist III / Lead (Product Analytics) on our Data Science team to lead product analytics on our Cedar Pre product, mentor other Data Scientists, and work with our product development teams to enable robust data-driven decisions and understand user behavior.
As a Data Scientist III / Lead, 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 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.
The Data Science team is based in NYC. Team members are expected to be in the office at least 3 days per week.
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 perspective of a user and develop expert intuition of Cedar’s data models and product
- Mentor and upskill other team members by providing thoughtful and thorough feedback to uphold the high standards of data analyses on our team
Skills and Experience:
- 7+ years of experience in an analytical role
- 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
- Strong presentation and project management skills
- Experience collaborating with product, design, and engineering teams
- SQL and Python expertise is a must-have
Compensation Range and Benefits
- Salary/Hourly Rate Range*: $148,750 - $175,000
- This role is equity eligible
- This role offers a competitive benefits and wellness package
*Subject to location, experience, and education
What do we offer to the ideal candidate?
- A chance to improve the U.S. healthcare system at a high-growth company! Our leading healthcare financial platform is scaling rapidly, helping millions of patients per year
- Unless stated otherwise, most roles have flexibility to work from home or in the office, depending on what works best for you
- Unlimited PTO for vacation, sick and mental health days–we encourage everyone to take at least 20 days of vacation per year to ensure dedicated time to spend with loved ones, explore, rest and recharge
- 16 weeks paid parental leave with health benefits for all parents, plus flexible re-entry schedules for returning to work
- Diversity initiatives that encourage Cedarians to bring their whole selves to work, including three employee resource groups: be@cedar (for BIPOC-identifying Cedarians and their allies), Pridecones (for LGBTQIA+ Cedarians and their allies) and Cedar Women+ (for female-identifying Cedarians)
- Competitive pay, equity (for qualifying roles) and health benefits that start on the first of the month following your start date (or on your start date if your start date coincides with the first of the month)
- 401k plan with 3% employer non-election contribution
- Access to hands-on mentorship, employee and management coaching, and a stipend for learning and development resources to help you grow both professionally and personally
About us
Cedar was co-founded by Florian Otto and Arel Lidow in 2016 after a negative medical billing experience inspired them to help improve our healthcare system. With a commitment to solving billing and patient experience issues, Cedar has become a leading healthcare technology company fueled by remarkable growth. Over the past several years, we’ve raised more than $350 million in funding from investors such as Andreessen Horowitz and Tiger Global, bringing Cedar’s valuation to $3.2 billion.
As of December 2022, Cedar is engaging with 20 million patients on an annualized basis, and is on target to process $2.7 billion in patient payments annually. Cedar’s ambition is to serve 50-60 million Americans by 2025, about half of the U.S. population that makes medical payments annually. Cedar partners with more than 55 leading healthcare providers and payers including Highmark Inc., Allegheny Health Network, Summit Health, Novant Health, Allina Health and Providence.
Tags: Engineering Healthcare technology Machine Learning ML models Python Research SQL Statistics
Perks/benefits: 401(k) matching Career development Competitive pay Equity Flex vacation Health care Home office stipend Medical leave Parental leave Startup environment Unlimited paid time off Wellness
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open AI Engineer jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Kubernetes-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs