Director, Data Science & ML
TailorCareAbout the role
About TailorCare
TailorCare is transforming the experience of specialty care. Our comprehensive care program takes a deeply personal, evidence-based approach to improving patient outcomes for joint, back, and muscle conditions. By combining a careful assessment of patients’ symptoms, health histories, preferences, and goals with predictive data and latest evidence-based guidelines, we help patients choose—and navigate—the most effective treatment pathway for them, every step of the way.
TailorCare values the experiences and perspectives of individuals from all backgrounds. We are a highly collaborative, curious, and determined team passionate about scaling a high-growth start-up to improve the lives of those in pain. TailorCare is a remote-first company with a hybrid office in Nashville.
About the Role:
We are seeking a seasoned and innovative leader to own and drive our data science and machine learning efforts at TailorCare. You will set technical direction, guide the team in solutioning for exciting business problems, create clarity in scope and deliverables, communicate progress, and help your team resolve dependencies. We are a fast-paced healthcare start-up prototyping new solutions that serve patients, providers, and internal clinical operations. You will play a proactive role in identifying opportunities where data can be used to solve business problems at scale. Your leadership will guide the data science and machine learning team to move quickly and to deliver at high quality. You will partner with leaders across data engineering, analytics, medecon, product, and software engineering to make investments that meet and anticipate business needs. This role has high growth potential for personal development and for building a strong team.
Key Responsibilities:
- Lead and grow a high-performing data science and machine learning team to prototype, productionize, and iterate upon solutions that deliver business impact.
- Oversee the entire lifecycle of data science projects, including: scoping, design, modeling, validation, deployment.
- Execute on roadmap collaborating closely with product, data engineering, analytics, medecon and other stakeholders.
- Create a team culture of technical excellence and innovation
- Help the team make decisions quickly and deliver at high quality
- Identify and champion new areas of opportunity aimed at delivering value to patients and providers.
Key Qualifications:
- 7+ years data science working experience including building and deploying machine learning models and applications
- 5+ years of managing data science and/or machine learning teams
- Proven track record of hiring, retaining, and growing strong talent
- Strong knowledge of ML, NLP, LLM technologies, working with large data sets
- Excellent communication and presentation skills
- Bachelor's Degree in relevant field (Preferably: Data Science, Healthcare Informatics, Statistics, Economics, Mathematics, Computer Science, etc.) or equivalent related work experience
- Experience in healthcare, healthcare data (claims,
About the Role:
We are seeking a seasoned and innovative leader to own and drive our data science and machine learning efforts at TailorCare. You will set technical direction, guide the team in solutioning for exciting business problems, create clarity in scope and deliverables, communicate progress, and help your team resolve dependencies. We are a fast-paced healthcare start-up prototyping new solutions that serve patients, providers, and internal clinical operations. You will play a proactive role in identifying opportunities where data can be used to solve business problems at scale. Your leadership will guide the data science and machine learning team to move quickly and to deliver at high quality. You will partner with leaders across data engineering, analytics, medecon, product, and software engineering to make investments that meet and anticipate business needs. This role has high growth potential for personal development and for building a strong team.
Key Responsibilities:
- Lead and grow a high-performing data science and machine learning team to prototype, productionize, and iterate upon solutions that deliver business impact.
- Oversee the entire lifecycle of data science projects, including: scoping, design, modeling, validation, deployment.
- Execute on roadmap collaborating closely with product, data engineering, analytics, medecon and other stakeholders.
- Create a team culture of technical excellence and innovation
- Help the team make decisions quickly and deliver at high quality
- Identify and champion new areas of opportunity aimed at deliver
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