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KalderosDirector of Data Science
Director of Data Science at Kalderos overseeing data functions and mentoring teams while driving product development. Focus on improving healthcare pricing transparency with data analytics.
About the role
- Leads data science contributions on multiple projects; from large corporate initiatives, discovery/research projects, engagement with third-party vendors and consulting companies, and partnerships with academia.
- Engages with key parts of the business to understand the problems they’re trying to solve and where there are opportunities to leverage the latest data science advancements.
- Defines the scope of data science work on a project, coordinates what data scientists are working on, anticipates and escalates upcoming considerations, and works with engineering/design/product/etc. to deliver impactful business solutions.
- Oversees the deployment and integration of AI models into production environments, ensuring alignment with business objectives and operational requirements.
- Proactively researches, evaluates, applies and shares expertise of emerging AI technologies and open-source tools; with a strong emphasis on Generative AI, including (auto)prompt engineering, Agentic AI frameworks/MCP, and maturing our infrastructure through tools such as LangFuse/LiteLLM.
Requirements
- Demonstrated experience providing and/or crafting customer-driven solutions using ML models.
- Ability to work as part of a team and to communicate effectively.
- Understanding of software development best practices including source control, coding standards and testing frameworks.
- Proficiency in programming languages suitable for database access, scripting, statistical analysis, and system development.
- Demonstrated experience communicating complex findings in a clear and concise manor to business stakeholders.
- Experience shaping the strategy for projects to deliver maximum business value.
- Demonstrated experience formulating, approaching, and solving complex analytical problems using a quantitative, scientific approach.
- Demonstrated experience working with large, complex datasets using big data technologies and script.
- Demonstrated knowledge and understanding of managing data to scale using data summarization, query, and analysis software and tools.
Benefits
- comprehensive medical, dental, vision and wellbeing benefits
- competitive 401(k) contribution
- pension plan
- annual incentive
- 9 paid holidays
- paid time off program (23 days accrued annually for full-time employees)
- student loan repayment program
- paid-family leave
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Location requirements
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