Requisition ID: 35446 

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 Scientist working in Milwaukee, WI you will be part of the Data Science & AI Solutions team within Information Technology (IT).  You will combine skills in computer science, mathematics, statistics, and will use domain knowledge to extract valuable insights from data, ultimately helping MCBC innovate and drive business growth. The Data Scientist operates at a high degree of technical expertise, developing data & analytical products for the foundation of capabilities at MCBC. This role will be responsible for using Data Science methods and technology to drive data-driven decision-making.

This position reports to the Data Science Manager and works closely with data scientists, product owners, and other developers on a cross-functional scrum team building Data Science & AI Products. You will be responsible for understanding business requirements and helping design, build and support scalable solutions using Data Science tools. Additionally, you will participate in a broader community of practice around data & AI, using your skills to help develop AI & data literacy within the community.

What You'll be Brewing:

• Develop, implement, and maintain predictive models, machine learning algorithms, and GenAI to solve complex business problems.                
• Perform exploratory data analysis to identify trends, patterns, and anomalies.                    
• Work closely with cross-functional teams, including product, engineering, and stakeholders to understand data needs and deliver actionable insights.                         
• Stay updated with the latest industry trends, tools, and technologies in data science and apply them to improve existing processes and models.                          
• Improve the knowledge base of the AI & data science community of practice developing and sharing resources like job aids and best practices and assisting less experienced analysts                      
• Communicate findings and insights through data visualizations, reports, and presentations.                         

Key Ingredients:

• You have a Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics or related field OR equivalent experience
• You have at least 3 to 5 years experience in advanced data mining, model development, and other related skills
• You are proficient in programming languages such as Python or R, and experience with data manipulation and analysis tools (e.g., SQL, Pandas, NumPy).                                     
• You are strong mathematical, quantitative, statistical, and data analysis skills                                     
• You have strong analytical and problem-solving skills with the ability to interpret complex data set
• Excellent verbal and written communication skills, with the ability to present complex information clearly and concisely.                                  
• 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

Beverage Bonuses: 

• Flexible work programs that support work life balance including a hybrid work model of 3 days in the office
• 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
• Participation in our Total Rewards program with a competitive base salary, incentive plans, parental leave, health, dental, vision, 401k option 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! 
• 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:

At Molson Coors, we’re committed to paying people fairly and equitably for the work they do.

Job Posting Total Rewards Offerings: $92,100.00 - $120,900.00 (posting salary range) + 10% 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 + 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.