Data Scientist, Cedar

ML Engineering

$148.8-175k

+ Equity eligible

SQL
AWS
Python
Senior level
New York

More information about location

Cedar

Financial engagement & billing technology for healthcare providers

Open for applications

Cedar

Financial engagement & billing technology for healthcare providers

501-1000 employees

FintechHealthcareB2CEnterprisePaymentsSaaSSocial Impact

Open for applications

$148.8-175k

+ Equity eligible

SQL
AWS
Python
Senior level
New York

More information about location

501-1000 employees

FintechHealthcareB2CEnterprisePaymentsSaaSSocial Impact

Company mission

To make healthcare more affordable and accessible through its consumer-friendly platform.

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 Data Scientist III, ML Engineering 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 this long-time problem set with a selection of consumer-facing services which streamline billing, insurance, and healthcare processes.

Companies like Cedar are in high demand, and serve a promisingly large and hungry market. Future healthcare billing concerns a huge percentage of US adults, and optimizing patient satisfaction is of increasing concern in a competitive sector for healthcare providers. Like other companies with a tech-forward focus, Cedar has been able to capitalize on an industry increasingly expanding towards digital healthcare solutions.

After acquiring competing patient finance streamlining service OODA Health in 2021, Cedar has gone on to capture even more success. The company has netted substantial funds on top of the launch of its Payer Intelligence Layer, which allows it to integrate data from insurers and providers to create a single source of information. It was also endorsed by the Montana Hospital Association's shared services division MHA Ventures (MHAV), to be listed as its only preferred patient financial engagement technology, all boding well for its performance into the future.

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Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

Some candidates hear
back within 2 weeks

41% female employees

-9% employee growth in 12 months

Company

Funding (last 2 of 5 rounds)

Dec 2022

$68.4m

SERIES D

Mar 2021

$200m

SERIES D

Total funding: $394.4m

Company benefits

  • 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
  • Flexibility to work from home or in the office, depending on what works best for you
  • Health insurance
  • Offices in Manhattan, San Francisco and Salt Lake City
  • Free lunch, healthy snacks, cold brew and kombucha on tap (Yup!)
  • Guided-meditation and game nights (Weekly!)
  • 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 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

Company values

  • Focus on the vision: We enable an exceptional healthcare consumer financial experience through relentless focus, only prioritizing actions that advance us towards this goal.
  • Reject mediocrity: We solicit diverse perspectives, set high standards and constantly challenge ourselves to raise the bar on our thinking, people and performance.
  • Apply a growth mindset: We maintain an optimistic, constructive and resilient attitude, passionately pursuing our mission, embracing difficult problems and learning from setbacks.
  • Use good judgment: We require accountability, bold thinking and a reliance on common sense to prioritize and make informed decisions that reflect our convictions, integrity and core values.

Company HQ

West Village, New York, NY

Leadership

Arel Lidow

(Co-Founder)

Prior to founding Cedar in 2016, Arel was VP of product at AppNexus where they supervised the development and launch of the company’s flagship products. Arel began their career as a technology associate at Bridgewater Associates, working on trading systems for the world’s largest hedge fund. Graduated from Princeton University with a B.S.E. in electrical engineering and a certificate in finance.

Dr. Florian Otto

(Co-Founder & CEO)

Prior to founding Cedar, Florian was an executive at Zocdoc where they drove the commercial adoption of the platform. Florian also founded a daily deal company in Brazil (ClubeUrbano) that was eventually acquired by Groupon. After the acquisition, he became Chief Executive Officer of Groupon Brazil. Florian began their business career as a strategy consultant at McKinsey & Company within their healthcare practice. Florian holds a M.D., D.D.S. and PhD from the University of Freiburg, Germany.

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