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# AI Data Scientist Sr.

- **Company:** Sedgwick
- **Location:** Dover, DE, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Extract Transform Load (ETL), Data Visualization, Relational Databases, Python (Programming Language), Machine Learning, Microsoft Office, Natural Language Processing, Standard Sql, Data Processing, Feature Engineering, Information Technology, Software Coding, Data Pipelines
- **Published:** May 16, 2026
- **Apply:** https://www.juju.com/job/00000000fzu1sm

## About the Role

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.

Skills & Knowledge

 + 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

## Description

+ 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.


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