Director of Data Science

Kalderos•Chicago, IL

9d•Remote

About The Position

At Kalderos, we are building unifying technologies that bring transparency, trust, and equity to the entire healthcare community with a focus on pharmaceutical pricing. Our success is measured when we can empower all of healthcare to focus more on improving the health of people. To learn more: https://www.kalderos.com/company/about Kalderos is a fast growing, venture-backed, remote first company which provides data analytics and software to our customers. We have many customers and utilize a modern technology stack (Snowflake, DBT, Azure, React, Databricks, AI and ML models) Our company’s success is driven by Kalderos’ greatest asset, our people. Our team thrives on the problems that we solve, is driven to innovate, and welcomes on the feedback of their peers. Our team is passionate about what they do and we are looking for people to join our company and our mission. That’s where you come in! We’re looking for a Director of Data Science to oversee the Data Analytics and Data Science functions of the company.

Requirements

Bachelor’s degree in computer science or other engineering disciplines, or equivalent experience
5+ years experience as a Software Engineer or Data Scientist in a professional full-time role
8+ years experience leading a data analytics, data science or similar data team
4+ years experience working with data scientists on AI / ML modeling
Experience with Cloud Native technology development and deployment
Experience building and scaling teams including leading recruiting initiatives
Understand and design for non-functional concerns such as performance, cost optimization, and maintainability
Great analytical and problem-solving skills with an eye for requirements analysis, debugging, and risk assessment
Knowledge of and experience implementing engineering principles and agile development procedures

Nice To Haves

Experience in the Healthcare or similarly regulated industry
Azure experience
Databricks experience

Responsibilities

Work closely across data analytics, data science and product to enable the team to deliver high impact functionality and hit dates committed to on the roadmap
Use business acumen to help prioritize product features and technology roadmap items
Create and maintain a technology roadmap
Work closely with other engineering leadership to mentor and guide them on business, career planning, budget and technical architecture
Create and maintain an engaging and fun engineering and data culture
Coach and mentor analysts, data scientists and managers to empower them to be the best versions of themselves. You will need to find the right balance between creating the space for them to do their best work, and coaching and developing new skills.
Recruit and onboard new analysts, data scientists and managers
Improve our delivery processes to increase accuracy of estimation, reliability of delivery, and velocity of execution
Oversee the company’s technology vendor relationships and provide recommendations on whether to buy or build components and capabilities
Learn and apply knowledge about the drug discount space, and become a subject matter expert for internal teams to draw upon