KA
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
- Develop and deploy machine learning models to drive personalized recommendations and user experiences across business units
- Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide strategic contributions
- Use statistical and machine learning techniques to segment users and predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer
- Lead projects from start to finish, set proper expectations, and collaborate with other data scientists, ML engineers, and product managers to communicate technical findings and support data driven decision making
- Oversee the integration and deployment of cross-functional and cross-organizational projects, developing process improvements and technical leadership
- Stay up to date on the latest advancements in data science and leverage cutting edge technology
- Mentor, brainstorm with, and enable others within the DS team and broader Data organization
Requirements
- Bachelor’s degree needed in a highly numerate major (Computer Science, Economics, Mathematics, etc.) or a related field
- 5+ years of experience in data science, creating and deploying models
- Strong expertise in ML modeling, predictive analytics, segmentation, and recommender systems
- Hands on experience working in customer personalization and a strong understanding of the technical elements required in building and maintaining advanced models
- Experience in experimentation to validate models' impact and ability to quantify that impact
- Experience with Python, SQL, Spark, Snowflake, and ML infrastructure tools like MLflow and SageMaker
- Experience with statistical modeling, A/B testing, and customer segmentation techniques
- Experience implementing and overseeing ML platforms and building unified data products across multiple domains
- Familiarity with online gaming platforms, trading systems, and marketing technologies
- Can write production level code, understand principles of programming
Benefits
- Medical
- Dental
- Vision
- Life Insurance
- Commuter Benefits
- Paid Time Off
- Holidays
- Employee Resource Groups
- Performance-based bonus plan
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