To partner with stakeholders to identify, scope, and execute advanced analytics and data science projects
to design data modeling processes, create algorithms, and predictive models
and to share insights that inform and enable business decisions
Builds, prototypes, and deploys machine learning models in production environments
Collaborates with product, technology, and other stakeholders to identify and scope data science projects
Communicates modeling challenges, findings, and outcomes to technical and non-technical stakeholders
Designs and implements end-to-end ETL (extract, transform, load) data pipelines integrating data from multiple data sources
Explores new internal and external data sources and assesses their commercial benefit
Mentors team members and serves as a subject matter expert in cross-functional discussions

Master’s degree or Ph.D. with major in statistics, mathematics, computer science, data science, economics, or related quantitative field from an accredited college or university preferred
Ten (10) years of related experience or equivalent combination of education and experience to include three (3) years of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering
Experience with natural language processing and healthcare data preferred
Proficiency writing code in Python or R and documenting for reproducibility
Strong knowledge of reviewing other’s models and code
Ability to use data visualization tools and libraries
Strong data exploration, data wrangling and feature engineering skills
Knowledge of application of supervised/unsupervised ML techniques
Thorough knowledge of SQL to query relational databases
Excellent oral and written communication skills, including presentation skills
PC literate, including Microsoft Office products
Analytical and interpretive skills
Strong organizational skills
Ability to create and complete comprehensive, accurate and constructive written reports
Ability to work in a team environment

ML Architect

Key skills