Senior Data Scientist

🕒 October 2

🎸 Tennessee – Remote

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⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Logo of Sedgwick

Sedgwick

10,000+ employees

🏗️ Construction

💼 Consulting

🏥 Healthcare

Construction • Consulting • Healthcare

Sedgwick is a global provider of technology-enabled risk, benefits, and integrated business solutions. They help people and organizations by managing and mitigating risk with solutions in accident, health, disability, unemployment compensation, and liability claims administration, among others. Sedgwick offers services such as claims administration, building consulting, forensic accounting, and forensic engineering. Their specialties include property restoration, brand protection, and loss prevention across several industries, including agriculture, construction, and environmental sectors. The company emphasizes diversity, equity, and inclusion (DEI) as well as environmental, social, and governance (ESG) practices.

📋 Description

• 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

• 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

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

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