Data Scientist III (ML Engineering)

July 31

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Carolinas Investment Consulting

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Carolinas Investment Consulting “CIC” is an employee-owned investment consulting boutique with over $1.5 billion of client assets under advisement$1. .$1

Investment Consulting • Holistic Wealth Management • Asset Allocation • Financial Planning • Custom Portfolio Design

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Description

• Develop a deep understanding of Cedar patients and our product • Build and optimize pipelines for data extraction, processing, and transformation • Design, build, and deploy scalable and maintainable machine learning solutions • Rigorously evaluate the effectiveness of machine learning models • Collaborate closely with data engineers and product engineers • Present and clearly communicate findings to partners across all levels • Identify and assess new opportunities for applying machine learning techniques

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 • Experience productionizing models and knowledge of cloud platforms such as AWS • Excellent communication and collaboration with stakeholders • 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

Benefits

• This role is equity eligible • This role offers a competitive benefits and wellness package • Unlimited PTO for vacation, sick and mental health days • 16 weeks paid parental leave with health benefits • Diversity initiatives that encourage Cedarians to bring their whole selves to work • Competitive pay, equity, and health benefits that start on 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