Data Scientist II; RITM

Overview

Here at Discount Tire, we celebrate the spirit of our people with extraordinary pride and enthusiasm. Our business has been growing for more than 60 years and now is the best time in our history to join us. We are opening more locations every year and we are always looking for qualified individuals to join us in our growth. We are a company that promotes from within, both in our retail and corporate operations.

The Data Scientist II identifies use cases from business partners, analyzes and mines very large quantities of data, develops predictive models that solve complex problems, and presents findings to Directors and other management.

• Independently builds and validates predictive models of a known issue without a defined solution, utilizing large scale data from multiple data sources and ensuring adoption of the model. Drives continuous improvement to existing models and reviews other Data Scientist and Data Scientists' models.
• Uses machine learning techniques to create data-driven solutions for various business use‑cases.
• Understands business needs and identifies potential use cases in more than one business unit. Works with external partners to develop a minimal viable product to meet those needs while resolving any issues that may arise.
• Analysis and mining of very large quantities of data using a deep knowledge of a specific domain to find patterns and insights utilizing statistical software.
• Writes code for the scope of work being done. Assists in development of data science standards for the department.
• Collaborates with technology partners to investigate new data sources. Analyzes new data sources for availability and quality, and integrates with existing database. Performs data cleaning and data analysis.
• Interprets, communicates, and presents analytic results to Director‑Level executives and below.
• Consistently collaborates with fellow data scientists and frequently interacts with business partners, project managers, cross‑functional teams, key stakeholders, and other domains to build analytics capabilities and drive business value.
• Mentors and assists in technically supervising less experienced Data Scientists. Continually strengthens knowledge of analytical methods, vendors, and tools and shares knowledge by participating in best practice sharing opportunities.
• May also include other duties as needed such as design of experiments.
• Other duties as assigned.

• This position requires a minimum of 5+ years of data science experience.
• Experience applying statistical techniques in 2+ business units or domains (marketing, pricing, supply chain, operations, etc.).
• Intermediate skill in Machine Learning.
• 3 years of programming experience in statistical software (for example Python, R, or SAS) and able to demonstrate proficiency at an intermediate level. Python is preferred.
• Ability to work with large data sets from multiple data sources.
• Ability to communicate complex analytics concepts and techniques to Director‑Level and below.
• Ability to work collaboratively with other data scientists and multiple stakeholders across the business unit and with external partners.
• Intellectual curiosity, a passion for data and a results orientation.

This position requires a Master's degree in a quantitative field including but not limited to data science, analytics, and statistics.

Normal work days are Monday through Friday. Occasional Saturdays and Sundays may be necessary.

Normal work hours are 8:00 a.m. to 5:00 p.m. Additional hours may be necessary.

Discount Tire provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law.

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• Defines business problems and research questions; solves highly complex work critical to the organization in collaboration with stakeholders.
• Integrat…