Data Scientist (REMOTE)
Sedgwick Work from Home/Remote Full-Time
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Data Scientist (REMOTE)
IF YOU CARE, THERES A PLACE FOR YOU HERE
For a career path that is both challenging and rewarding, join Sedgwicks talented team of 27,000 colleagues around the globe. Sedgwick is a leading provider of technology-enabled risk, benefits and integrated business solutions. Taking care of people is at the heart of everything we do. Millions of people and organizations count on Sedgwick each year to take care of their needs when they face a major life event or something unexpected happens. Whether they have a workplace injury, suffer property or financial loss or damage from a natural or manmade disaster, are involved in an auto or other type of accident, or need time away from work for the birth of a child or another medical situation, we are here to provide compassionate care and expert guidance. Our clients depend on our talented colleagues to take care of their most valuable assetstheir employees, their customers and their property. At Sedgwick, caring counts. Join our team of creative and caring people of all backgrounds, and help us make a difference in the lives of others.
PRIMARY PURPOSE: To develop and help manage predictive modeling assignments through completion; to communicate results; to make recommendations to management; and to ensure model ownership, implementation, and monitoring; to spot trends and to gain maximum insight that can give the company a competitive advantage.
ESSENTIAL FUNCTIONS and RESPONSIBILITIES
• Execute data science projects as identified by Sr Data Scientists, leadership, and stakeholders
• Help to build, prototype, and deploy machine learning models in sandbox and production environments
• Produce reports to communicate metrics and outcomes of stakeholder interest
• Assist with developing and maintaining end-to-end ETL data pipelines
• Work to explore new internal data sources and their utility within projects
• Communicate modeling challenges, findings, and outcomes to stakeholders
ADDITIONAL FUNCTIONS and RESPONSIBILITIES
• Performs other duties as assigned.
• Supports the organization's quality program(s).
QUALIFICATION
Education & Licensing
Bachelor's degree from an accredited college or university preferred with major in Business Analytics, Statistics, Mathematics, or Computer Science. Coursework in Data Science and Business Analytics preferred.
Experience
Eight (8) years of related experience or equivalent combination of education and experience to include one (1) year 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 insurance or risk management industries preferred.
Skills & Knowledge
• Knowledge of writing code in Python or R, and notebook environments
• Knowledge of common unsupervised/supervised ML techniques
• Ability to use SQL to query relational databases
• Knowledge of data exploration, data wrangling and feature engineering
• Ability to use data visualization tools and libraries
• 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
WORK ENVIRONMENT
When applicable and appropriate, consideration will be given to reasonable accommodations.
Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines
Physical: Computer keyboarding, travel as required
Auditory/Visual: Hearing, vision and talking
The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time.
Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
Recommended Skills
• Analytical
• Communication
• Coordinating
• Data Processing
• Data Science
• Data Visualization
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