Senior Data Scientist

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: To partner with stakeholders to identify, scope, and execute advanced analytics and data science projects; to design data modeling processes, create algorithms, and predictive models; and to share insights that inform and enable business decisions.

ESSENTIAL FUNCTIONS and RESPONSIBILITIES

• 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.

ADDITIONAL FUNCTIONS and RESPONSIBILITIES

• Performs other duties as assigned.
• Travels as required.

QUALIFICATIONS

Education & Licensing

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.

Experience
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

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.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.

Originally posted on Himalayas