Data Science Manager

Molson CoorsMilwaukee, WI
6dHybrid

About The Position

In the role of Data Science Manager working in Milwaukee, WI you will be part of the North America IT team. The Data Science Manager develops traditional machine learning and generative AI solutions for one or more business units. Partnering with product owners, they are responsible for the end to end technical solution delivery for all data science work within their area of functional responsibility. The Data Science Manager is a thought leader for methodology and the practice of data science in the company, regularly contributing best practices to the community of practice and mentoring junior members of the team. This position reports directly to the Director of Data Science and AI Solutions. The working groups for this role may vary, providing the opportunity to engage in diverse collaborative settings. Examples include: contributing as a member of a scrum team delivering end-to-end solutions tailored to specific business domains, leading a small group of developers focused on creating reusable data science products and frameworks that accelerate the broader team’s efforts, or partnering with analytics teams across the business to enhance and advance the analytics capabilities of packaged platform solutions they utilize.

Requirements

  • You have a Bachelor’s degree OR equivalent experience (4+ years) in the field of data science
  • You have 5 years working in an environment delivering advanced analytics using Data Science techniques and tools including predictive, A/B, and machine learning analysis.
  • You have familiarity with data processing in Databricks, Snowflake or other data platform.
  • You have experience managing consultants and internal resources to deliver advanced analytic solutions
  • You have previous experience managing consultants and internal resources to deliver advanced analytic solutions
  • You have a deep understanding of data and techniques to cleanse, harmonize, and evaluate business insights
  • You are confident, diplomatic, professional and exercise great judgment in developing and maintaining excellent business relationships within the business
  • You are a skilled negotiator focused on the client; your constant curiosity fosters your innovative style and you can equally execute ideas given to you
  • You love a challenge. You complete complex projects quickly and adeptly with your understanding of the business priorities
  • You build relationships and collaborate to get to the desired outcome
  • You take accountability for results – acting with integrity and honoring commitments
  • You have a thirst for learning – you are always looking for ways to learn and help one another grow
  • You exhibit our core values

Nice To Haves

  • You have familiarity with packaged planning/analytic platforms such as o9 is a plus.

Responsibilities

  • Develop scalable, production-grade, machine learning and generative AI data products to deliver measurable business value. Utilize currently recognized industry best practices in methodology.
  • Collect and interpret business requirements, assist in value determination, research approaches, lead design of analytics solution components, guide team developing the solution.
  • Create reusable tools, best practices and design patterns for developing ML and AI solutions, recommend innovative new technologies and data. Influence and anchor adoption across the company.
  • Interpret and articulate data science outputs and methodologies for non-technical audiences. Communicate to broad audiences through visualizations, presentations and demonstrations, ensure that insights and limitations of models are well-understood.
  • Mentor and support junior analysts and data scientists on the team and across the company with the goal of upskilling and increasing analytics maturity and literacy across the organization. Collaborate to review code from other data scientists and govern best practices.

Benefits

  • Flexible work programs that support work life balance including a hybrid work model of 4 days in the office
  • Participation in our Total Rewards program with a competitive base salary, incentive plans, parental leave, health, dental, vision, retirement plan options with incredible employer match, generous paid time off plans, an engaging Wellness Program, and an Employee Assistance Program (EAP) with amazing resources
  • On site Pub , access to cool brand clothing and swag, top events and, of course... free beer and beverages!
  • We care about our People and Planet and have challenged ourselves with stretch goals around our key priorities
  • We care about our communities, and play our part to make a difference – from charitable donations to hitting the streets together to build parks, giving back to the community is part of our culture and who we are
  • Engagement with a variety of Business Resource Groups, which can provide volunteer opportunities, leadership experience, and networking through the organization
  • Ability to grow and develop your career centered around our First Choice Learning opportunities
  • Work within a fast paced and innovative company, meeting passionate colleagues and partners with diverse backgrounds and experiences
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