Data Science Manager

Pivara Trebjesa

Milwaukee (WI)

Hybrid

USD 126,500 - 166,100

Full time

14 days+

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Benefits offered by this job

Flexible work programs
Competitive base salary
Employee Assistance Program
On-site Pub
Generous paid time off

Job summary

A leading beverage company is seeking a Data Science Manager in Milwaukee, WI. This role involves developing machine learning and generative AI solutions to provide measurable business value. Candidates should have a Bachelor's degree and at least 5 years of experience in data science. The position supports a hybrid work model and comes with a competitive salary range of $126,500 to $166,100, alongside various benefits including health and wellness programs.

Qualifications

  • 5+ years delivering advanced analytics using Data Science techniques.
  • Experience managing consultants and internal resources.
  • Familiarity with data processing and advanced analytical solutions.

Responsibilities

  • Develop scalable machine learning and AI data products.
  • Collect and interpret business requirements.
  • Mentor junior analysts and data scientists.

Skills

Data Science techniques
Analytical skills
Machine Learning
Communication
Collaboration

Education

Bachelor's degree or equivalent experience

Tools

Databricks
Snowflake

Job description

Already an employee? You must apply through our internal portal: click here.

Data Science Manager

Date: Mar 18, 2026

Location: Milwaukee, WI, US

Requisition ID: 38061

Cheers to creating an incredible tomorrow!

At Molson Coors, we tackle big challenges and defy the status quo. With a proud legacy of excellence, an incredible portfolio of beer, seltzers, spirits, and non‑alcohol brands, and a bold vision for our future… we’re on the path to transforming the beverage industry. That requires remarkable individuals who are curious, tenacious, and never afraid to fail forward.

We seek, value and respect everyone’s unique perspectives and experiences knowing that we are stronger together. We collaborate as a team and celebrate each other’s successes.

Here’s to crafting careers and creating new legacies.

Crafted Highlights:

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.

What You’ll Be Brewing:
  • 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.
Key Ingredients:
  • 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 within 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 your core values.
Beverage Bonuses:
  • 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.

Molson Coors is an equal opportunity employer. We invite applications from candidates of all backgrounds, race, color, religion, sex, national origin, age, disability, veteran status or any other characteristic. If you have a disability and believe you need a reasonable accommodation during the application or recruitment processes, please e-mail jobs@molsoncoors.com.

Pay And Benefits

$126,500.00 – $166,100.00 (posting salary range) + 15% target short term incentive + $23,000 on average spent on benefits per employee, including but not limited to health, dental, vision, retirement with above market employer match, wellness incentives and EAP, and paid time off (including holidays, vacation days and sick days).

The posting range provided above for salary is what we, in good faith, believe we would pay for this role at the time of this posting. We ultimately pay based on a number of non‑discriminatory factors that inform pay decisions including but not limited to the required work location, previous work experience, skill set and internal equity.

Nearest Major Market: Milwaukee

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