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.
• Analyzes and mines 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 such as design of experiments.
• Other duties as assigned.

• Minimum of 5+ years of data science experience.
• Experience applying statistical techniques in at least 2 business units or domains (marketing, pricing, supply chain, operations, etc.).
• Intermediate skill in machine learning.
• 3+ years of programming experience in statistical software (Python, R, or SAS) with 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, passion for data, and results orientation.
• Strong quantitative analysis experience working with large, complex datasets to aggregate, organize, and prepare data for use in business analytics.
• Experience with data integration, profiling, cleansing, and normalization (structured, unstructured, third‑party).
• Strong proficiency with data visualization techniques.
• Proven knowledge of statistical analysis and insights, including cluster analysis and data mining.
• Machine learning and AI experience (including image recognition) preferred. Ability to frame solutions to complex problems is vital.
• Experience with digital data assets such as CRM customer behavior and sentiment, and understanding of marketing and merchandising impact on the web.
• Experience with econometrics, price elasticity modeling, pricing and promotions preferred.
• Experience with simulation, network optimization, and workflow analysis preferred.
• Knowledge of various databases with ability to code in Python, R, and SQL.
• Advanced proficiency in Microsoft Office (Word, Excel,…