Senior Data Scientist

Sedgwick

. Partner with stakeholders to identify, scope, and execute advanced analytics and data science projects .

Posted 10/2/2026full-timeRemote • Tennessee • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced analytics, data science, and machine learning, with a strong focus on predictive modeling and data pipeline design. Proficient in Python or R, SQL, and data visualization, while effectively communicating complex findings to diverse stakeholders.

Highest-signal resume keywords

Predictive ModelingMachine Learning TechniquesData Visualization ToolsETL Data Pipeline DesignPython or R Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingData ScienceData AnalysisData ExplorationData WranglingFeature EngineeringSQLMachine LearningData ModelingAlgorithm Design

Soft Skills

Excellent Communication SkillsOrganizational SkillsAnalytical SkillsTeam CollaborationMentoring

Tools & Technologies

Data Visualization LibrariesMicrosoft OfficeETL ToolsMachine Learning FrameworksRelational Databases

Industry Keywords

Data ScienceAdvanced AnalyticsQuantitative AnalysisStatistical ModelingCommercial Data Assessment

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

Partner with stakeholders to identify, scope, and execute advanced analytics and data science projects
Design data modeling processes, algorithms, and predictive models
Build, prototype, and deploy machine learning models in production environments
Collaborate with product, technology, and other stakeholders to identify and scope data science projects
Communicate modeling challenges, findings, and outcomes to technical and non-technical stakeholders
Design and implement end-to-end ETL data pipelines integrating data from multiple data sources
Explore new internal and external data sources and assess their commercial benefit
Mentor team members and serve as a subject matter expert in cross-functional discussions
Perform other duties as assigned
Travel as required

Requirements

What you’ll need

Master’s degree or Ph.D. in statistics, mathematics, computer science, data science, economics, or related quantitative field preferred
Ten (10) years of related experience or equivalent combination of education and experience
Three (3) years of predictive modeling, data science, and analysis experience
Solid background using data visualization tools and libraries
Experience with data exploration, data wrangling, and feature engineering
Proficiency writing code in Python or R and documenting for reproducibility
Strong knowledge of reviewing others’ models and code
Knowledge of supervised and unsupervised machine learning techniques
Thorough knowledge of SQL to query relational databases
Excellent oral and written communication skills, including presentation skills
PC literacy, 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
Willingness and ability to travel as required

Benefits

Comp & perks

Work-life balance
Caring culture
Opportunities for career growth
Diversity, equity, and inclusion workplace
Equal Opportunity Employer
Drug-Free Workplace