Mgr Data Science

Job Summary

The Manger of Data Science will lead the development and implementation of predictive and prescriptive models as well as other advanced analytics solutions to support key business decisions in one or more practices and/or areas across the company. These include developing propensity to purchase, churn, recommender systems, key drivers, sales forecasts, and location models among others. The successful candidate will manage a team of data scientists and collaborate closely with stakeholders across various departments to identify new opportunities to drive efficiency and growth.

Job Responsibilities

• Lead the development of a wide variety of large-scale data science projects from the ground up, including framing data problems, identifying clear lines of questioning, uncovering and extracting value from new and old data sources, and checking your work against current business knowledge and best practice while having an eye towards improvement where possible.  
• Lead and mentor a team of data scientists by example. Provide technical guidance, set performance expectations, and facilitate professional development in hard and soft skills.
• Proactively stay ahead of industry trends, opportunities, and risks in the motorcycle and data science landscapes.
• Communicate important insight to immediate stakeholders and sr. leadership by creating clear and concise presentations of project results and other pertinent information.
• Develop plans to create and maintain models that predict the likelihood of movement through a customer journey (becoming a lead, purchasing product, accessorizing, churn, lifetime value, etc.), forecast and understand key sales drivers, optimize dealer sales potential, and drive the business by other means.
• Review performance of implemented plans and models as well as the effect of data science products on pricing, sales effectiveness, lead performance, and other key business metrics.

Education Requirements

Education Specifications

• Bachelor’s Degree in a quantitative discipline such as Statistics, Data Science, Computer Science, Mathematics, or a related field
• Master's Degree or Ph.D. Preferred

Experience Requirements

This position typically requires 8 years of experience in applying data science techniques across a wide variety of business problems.  In addition, the successful candidate will have demonstrated the following:

• Proven ability to uncover and integrate data from many sources, identifying unasked questions, and advancing business goals
• Expert level knowledge of statistics, machine learning, their application, and their underlying assumptions
• Expert level knowledge of Python, R, Azure, Spark, and other common languages, data platforms, and frameworks, as well as the aptitude for independently learning others
• Expertise in data visualization
• Excellent critical thinking skills, diligence, and the ability to work both independently and collaboratively
• Excellent critical thinking skills and the ability to work independently and collaboratively.