Auto req ID: 52054
Title: Mgr Data Science
Job Function: Digital
Location: JUNEAU
Workplace Category:Onsite
Company: Harley-Davidson Motor Company
Full or Part-Time: Full Time
Shift: SHIFT1

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

Bachelor's Degree Required

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.

The pay range shown represents the national average pay range for this role. Your pay may be more or less than the stated range and is dependent on your geographic location and level of experience.

We offer an inclusive compensation package for all full-time salaried employees including, but not limited to, annual bonus programs, health insurance benefits, a 401k program, onsite fitness centers and employee stores, employee discounts on products and accessories, and more. Learn more about Harley-Davidson here.

Applicants must be currently authorized to work in the United States.

Direct Reports: Yes
Travel Required: 0 - 10%
Pay Range: 137,100 - 219,400
Visa Sponsorship: This position is not eligible for visa sponsorship or visa transfer
Relocation: This position is eligible for domestic relocation assistance (within posted country)