Data Scientist

Sedgwick

2d•Onsite

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 develop and 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.

Requirements

Bachelor's degree from an accredited college or university preferred with major in Business Analytics, Statistics, Mathematics, or Computer Science; SAS certifications preferred.
Eight (8) years of related experience or equivalent combination of education and experience to include five (5) years of statistical modeling experience with solid background in the fundamentals of machine learning and statistics.

Responsibilities

Develops, prepares, and manages predictive models through completion.
Identifies required resources; researches data, procedures, and history for a thorough understanding of project direction.
Collects new data and statistics from multiple sources and generates statistical analysis.
Collaborates with data management team to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues.
Partners with both business and IT leaders to influence how the organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen.
Prepares reports using various system programs and coordinating with other departments.
Develops and trains the data management team on new or updated procedures as needed.