The Reinalt-Thomas Corporation
Director of Data Science
The Reinalt-Thomas Corporation, Scottsdale, Arizona, us, 85261
Overview
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 1,100 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 Director - 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 General Description The Director of Data Science will report directly to the Sr Director of Analytics and closely collaborate with an established analytics leadership team to define and deliver an analytics roadmap. The successful candidate will use their expert-level 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: Lead, coach, mentor, empower, and develop 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. Act as a technical thought leader in collaboration with the analytics leadership team, helping to set the strategy and standards for data science and advanced analytics Work with senior leaders from all functions to explore opportunities for using advanced analytics Provide leadership, coaching, and mentoring to talented data scientists and analytics professionals Guide data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies, while also ensuring quality Work with the team 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 10 years of leadership experience developing advanced analytics organizations, fostering a collaborative and high-performing environment. 7 years of hands-on experience developing Statistics, Machine learning, and AI solutions Demonstrated track record of successfully delivering data-driven solutions that have significantly impacted business outcomes. Excellent leadership, communication, and stakeholder management skills. Demonstrated ability to communicate across all 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.
#J-18808-Ljbffr
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 Director - 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 General Description The Director of Data Science will report directly to the Sr Director of Analytics and closely collaborate with an established analytics leadership team to define and deliver an analytics roadmap. The successful candidate will use their expert-level 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: Lead, coach, mentor, empower, and develop 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. Act as a technical thought leader in collaboration with the analytics leadership team, helping to set the strategy and standards for data science and advanced analytics Work with senior leaders from all functions to explore opportunities for using advanced analytics Provide leadership, coaching, and mentoring to talented data scientists and analytics professionals Guide data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies, while also ensuring quality Work with the team 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 10 years of leadership experience developing advanced analytics organizations, fostering a collaborative and high-performing environment. 7 years of hands-on experience developing Statistics, Machine learning, and AI solutions Demonstrated track record of successfully delivering data-driven solutions that have significantly impacted business outcomes. Excellent leadership, communication, and stakeholder management skills. Demonstrated ability to communicate across all 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.
#J-18808-Ljbffr