Machine Learning Engineer, Cedar
$170-200k
+ Equity eligible
More information about location
AI-powered platform that helps patients afford and navigate healthcare payments
Job no longer available
AI-powered platform that helps patients afford and navigate healthcare payments
201-500 employees
Job no longer available
$170-200k
+ Equity eligible
More information about location
201-500 employees
Company mission
To empower us all to easily and affordably pursue the care we need.
Role
Who you are
- 5+ years of experience working with data, with 3+ years of experience in machine learning in an industry setting
- Expertise in both SQL and Python is required
- Expertise in machine learning techniques such as regression, classification, clustering, and ensemble methods; not only in training performant models, but also how to use them successfully for business impact and how to employ effective guardrails
- Experience productionizing models and knowledge of cloud platforms such as AWS
- Excellent communication and collaboration with stakeholders, acting as a thought-partner for other data scientists and cross-functional teams
- Strong analytical ability and an understanding of statistical methods
- Understanding of software engineering principles
- A mindset focused on growth and learning
- Experience working with healthcare data or payments/billing data is a plus, but not required
What the job involves
- 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
- Cedar is scaling rapidly and the demand for data and machine learning expertise is increasing
- We are seeking a Machine Learning Engineer III to join our team and build machine learning solutions that optimize the performance of Cedar’s product
- You will conduct deep analyses of data to develop a thorough understanding of our product features and how patients utilize them, along the way becoming an expert in Cedar data
- You will design, develop, and iterate on ML-powered product features to support and differentiate Cedar’s product offerings, and closely measure and monitor the performance of these ML models to identify and drive opportunities for continuous improvement
- Develop a deep understanding of Cedar patients and our product, including the mechanisms of Cedar’s platform and Cedar’s data
- Build and optimize pipelines for data extraction, processing, and transformation; perform in-depth data analysis, data cleaning, and feature engineering on (mostly) structured, tabular data
- Design, build, and deploy scalable and maintainable machine learning solutions that solve key problems for our patients and customers
- Rigorously evaluate the effectiveness of machine learning models by analyzing their performance, and identify opportunities for iteration and improvement
- Collaborate closely with data engineers and product engineers to productionize pipelines and ML solutions
- Present and clearly communicate findings and underlying methodology to partners across all levels of the organization, and present externally to Cedar clients
- Identify and assess new opportunities for applying machine learning techniques to drive business value
Our take
Over $1 billion is said to be lost annually by physicians as a result of inefficient and disjointed healthcare billing practices. The subsequently low patient satisfaction rates lead to poorer care, and real losses for providers who see patients switching away from their plans.
Cedar looks to remedy these issues with a selection of consumer-facing services which streamline billing, insurance and healthcare processes. Healthcare billing concerns a huge percentage of US adults, so optimizing patient satisfaction is of increasing concern - a great opportunity for the company.
After acquiring competing patient finance streamlining service OODA Health in 2021, Cedar netted substantial funds and launched its Payer Intelligence Layer. This allows it to integrate data from insurers and providers to create a single source of information. The company was also endorsed by the Montana Hospital Association's shared services division, to be listed as its only preferred patient financial engagement technology.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Dec 2022
$68.4m
SERIES D
Mar 2021
$200m
SERIES D
Total funding: $394.4m
Company benefits
- Flexibility to work from home or in the office, depending on what works best for you
- Multiple health / dental / vision insurance options
- Office in Manhattan
- Free lunch, healthy snacks, cold brew and kombucha on tap (Yup!)
- Unlimited PTO for vacation, sick and mental health days–we encourage everyone to take at least 20 days of vacation per year
- 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)
- Equity (for qualifying roles) and health benefits that start on your first day
- 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
- Up to $10,000 in reimbursement through Carrot Fertility to support comprehensive, inclusive care for family-forming and reproductive health journeys
- Constant learning and development opportunities
- Resources for mental and physical wellbeing
Company HQ
Tribeca, New York, NY
Leadership
Arel Lidow
(Co-Founder)Previously VP of product at AppNexus where they supervised the development and launch of the company’s flagship products. Began their career as a technology associate at Bridgewater Associates, working on trading systems for the world’s largest hedge fund.
Dr. Florian Otto
(Co-Founder & CEO)Previously an executive at Zocdoc where they drove the commercial adoption of the platform. Also founded a daily deal company in Brazil (ClubeUrbano) that was eventually acquired by Groupon. Began their business career as a strategy consultant at McKinsey & Company.
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