Head of Data Science

Here at Discount Tire, we celebrate the spirit of our people with extraordinary pride and enthusiasm. As America’s largest independent tire retailer, specializing solely in tires & wheels, we have over 1,000 store locations, and growing by nearly 1 store per week making us the 95^th largest private corporation in the U.S. (2018). Our consistent growth over the last 59 years, as well as the loyalty of our customers and passion of our employees makes Discount Tire a great place to work. Even more exciting, Discount Tire is predicting, embracing, and driving the changes expected in the Automotive Industry.  Data and Analytics are seen as our competitive advantage. 

The Manager of Data Science role will be responsible for continuing to grow and build upon the accomplishments of the analytics team, as well as lead the most complicated tasks. In this role, you will be actively involved in shaping the company strategy. We are leveraging a word class data environment, so that this position can help us to:

• Develop decision support and predictive solutions for customers and staff
• Leverage AI for pattern recognition and beyond
• Optimize business outcomes
• Gain insights from big data

The Manager of Data Science will report directly to the Assistant Vice President of Analytics and closely collaborate with an established analytics leadership team to accommodate and deliver an analytics roadmap. The successful candidate will use their analytical leadership and collaborative skills to influence the organization by helping implement a culture of mathematical rigor, experimentation and efficient & effective iteration that focuses on driving business performance.

Essential Duties and Responsibilities:

• Manage the development of a team of professionals to conduct advanced analytics leveraging predictive modeling, machine learning, data mining, data visualizations, simulation, and optimization; interpret disparate data/complex data sets/ structured and unstructured data and other techniques to deliver insights or develop analytical solutions to achieve business objectives.
• Partner with the analytics leadership team to set the strategy and standards for data science and advanced analytics
• Provide leadership, coaching, and mentoring to talented data scientists
• Manage data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies, while ensuring quality
• Work with the principal and head data scientist to define data science methodology for complex business problems
• Partner with the Analytics Delivery and Technology leaders to enable appropriate data flow/data model, development tools/technology, rapid prototyping and inform the design of analytics products
• Partner with domain experts to verify model capabilities and translate modeling outputs from statistical inferences into business language

Qualifications:

Required

• 5-9 years of leadership experience managing advanced analytics organizations, fostering a collaborative and high-performing environment.
• 3-5 years of hands-on experience developing Statistics, Machine learning, or AI solutions
• Demonstrated track record of successfully delivering data-driven solutions that have significantly impacted business outcomes as a team.
• Good leadership, communication, and stakeholder management skills.
• Demonstrated ability to communicate across various levels of the organization.
• Must be able to clearly articulate technical ideas to a non-technical audience both verbally and in writing.
• The ability to work efficiently under pressure, accurately meet deadlines, present a professional demeanor, and work well independently and with teams.
• Customer service skills, including the ability to manage and respond to different customer situations while maintaining a positive and friendly attitude are essential.
• Manage a team of highly skilled professionals remotely across various locations and time zones
• Organizational and problem-solving skills, a can-do attitude, and the ability to adjust to changing requirements are essential. Maintaining confidentiality, treating others with respect and upholding Company values.

Preferred

• Experience in retail and/or tire manufacturing industry
• Experience supporting multiple business segments (Marketing, Inventory, Pricing, Operations, etc.)

Educational Requirements:

Master’s degree in Statistics, Computer Science, Data Science, or Business Administration with equivalent experience.

Work Days:

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

Work Hours:

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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