Lead in applying Machine Learning algorithms to develop predictive models for business applications.
Extract meaningful insight from semi-structured and unstructured data sources, including natural language processing (NLP)
Lead in designing, extracting, normalizing, analyzing, reviewing and automating analysis utilizing our Data Warehouse, extracts and data exploration tools; coordinate with appropriate subject matter experts on data source requirements.
Lead in designing & developing data visualizations for data storytelling.
Design and develop ad-hoc analysis based on business requirement needs.
Actively participate in the completion of department initiatives to support the development of a best-in-class Data Science function.
Prototype data science products.
Complete work without direct day-to-day supervision, and help guide junior team members when they need assistance.
Stay up-to-date with the latest advancements in data science and related fields, and share with team members to drive innovation.
Build strong relationships to understand the business and connect data scientists to business use cases.

Bachelor’s degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required.
5 years of relevant work experience in analytics, technology or healthcare is required (academic work included), or related equivalent experience
3 years experience with machine learning/advanced statistical techniques is required
Experience writing SQL, and using Data Visualization tools
Demonstrated experience handling large datasets to build data science pipelines

Senior Data Scientist

Key skills