Senior Data Scientist - E-Commerce

Fortune Best Workplaces in Financial Services & Insurance
Senior Data Scientist

PRIMARY PURPOSE

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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; Builds, prototypes, and deploys machine learning models in production environments.
Collaborates with product, technology, and other stakeholders to identify and scope data science projects.
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.
Travels as required.
D. with major in statistics, mathematics, computer science, data science, economics, or related quantitative field from an accredited college or university preferred.
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.
Proficiency writing code in Python or R and documenting for reproducibility
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
PC literate, including Microsoft Office products
Ability to meet or exceed Performance Competencies
excellent judgment, troubleshooting, problem solving, analysis, and discretion; Computer keyboarding, travel as required
Auditory/Visual

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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. Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience.