Data Scientist III (Ml Engineering)

Carolinas Investment Consulting
Summary
Join Cedar's Data Science team as a Machine Learning Engineer III and build machine learning solutions to optimize our healthcare financial platform. You will conduct in-depth data analysis, develop and deploy ML models, and collaborate with cross-functional teams. Responsibilities include building data pipelines, evaluating model performance, and presenting findings to stakeholders. The ideal candidate possesses 5+ years of data experience, 3+ years in machine learning, expertise in SQL and Python, and strong communication skills. This hybrid/remote role offers a competitive salary ($170,000-$200,000), equity, unlimited PTO, 16 weeks of paid parental leave, and comprehensive benefits.
Requirements
- 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, with a desire to take on new challenges and expand your impact over time
- Problem-solving ability, with the interest to further grow this skillset and apply strategic thinking to make key decisions relating to Cedar’s ML product features
- Applicants must be currently authorized to work in the United States on a full-time basis
Responsibilities
- 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
- Work cross-functionally to identify and evaluate opportunities where machine learning can drive business impact and competitive advantage
- Take ownership of end-to-end machine learning projects, from ideation to deployment, with increasing autonomy as you grow in the role
Preferred Qualifications
Experience working with healthcare data or payments/billing data is a plus, but not required
Benefits
- Salary/Hourly Rate Range*: $170,000 - $200,000
- This role is equity eligible
- This role offers a competitive benefits and wellness package
- Unless stated otherwise, most roles have flexibility to work from home or in the office, depending on what works best for you
- For exempt employees: 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)
- Cedar matches 100% of your 401(k) contributions, up to 3% of your annual compensation
- Access to hands-on mentorship, employee and management coaching, and a team discretionary budget for learning and development resources to help you grow both professionally and personally