What are the responsibilities and job description for the Data Scientist position at State of South Carolina?
Camping World Holdings, Inc., headquartered in Lincolnshire, IL, (together with its subsidiaries) is America’s largest retailer of RVs and related products and services. Our vision is to build a long-term legacy business that makes RVing fun and easy, and our Camping World and Good Sam brands have been serving RV consumers since 1966.
We strive to build long-term value for our customers, employees, and shareholders by combining a unique and comprehensive assortment of RV products and services with a national network of RV dealerships, service centers and customer support centers along with the industry’s most extensive online presence and a highly trained and knowledgeable team of employees serving our customers, the RV lifestyle, and the communities in which we operate. We also believe that our Good Sam organization and family of programs and services uniquely enable us to connect with our customers as stewards of the RV enthusiast community and the RV lifestyle. With RV sales and service locations in 42 states, Camping World has grown to become the prime destinations for everything RV.
Job Description
Data Scientist
Position Location: Hybrid – Remote and Lincolnshire, IL
Camping World is seeking a Data Scientist to support our pricing and inventory activities in our recreational vehicle (RV) business. In this role, you will use data science, statistics, economics, mathematics or similar training and experience to develop models (machine learning and other), perform analysis, and create analytic measures.
You will report to the Director of RV Pricing Strategy and be part of the pricing team focused on implementing new pricing, policies, and processes.
Responsibilities:
- Work with the pricing and inventory team improved business outcomes in conjunction with the pricing and inventory teams.
- Using Python, SQL, R, and analytical tools to organize and analyze data.
- Identifying data sources and cleaning data for analytics work.
- Exploring new datasets for actionable insights and joining multiple datasets for deeper analysis.
Must Have Qualifications:
- 3 or more years of relevant experience in a commercial environment.
- Machine learning, feature selection and engineering, rule-based modeling, and linear optimization experience.
- Experience with seasonality measurement and forecasting methods.
- Scoping of data science projects and defining projects and quantitative questions based on business goals.
- Knowledge of data cleaning, data exploration, statistical analysis, and visualizations.
- Python and SQL experience.
- Data Science, Statistics, Economics, Quantitative Marketing or closely related degree at master’s or PhD level.
- Experience with Microsoft Office tools (Word, Excel, PowerPoint, Outlook).
- Ability to work independently to complete assigned tasks.
- Must be diligent, organized, and extremely detail oriented.
- Ability to maintain professional demeanor and strict confidentiality.
Preferred Qualifications:
- Pricing experience including pricing analytics, price modeling, WTP, elasticity and related work.
- Experience in retail or automotive industries.
- Experiment design and evaluation.
- Strong written and verbal communication skills
Camping World is an equal employment opportunity employer. The Company's policy is not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, veteran or uniformed service-member status, genetic information, or any other basis protected by applicable federal, state, or local laws.
