AI Data Scientist Sr.

Sedgwick•Telecommuter TX, TX

11d•$120,000 - $160,000

About The Position

By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve. Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies Certified as a Great Place to Work® Fortune Best Workplaces in Financial Services & Insurance PRIMARY PURPOSE OF THE ROLE: 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.

Requirements

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
Ability to meet or exceed Performance Competencies

Nice To Haves

Experience with natural language processing and healthcare data preferred.

Responsibilities

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.