Mark Anthony Group is an entrepreneurial drinks company, built from the ground up by thinking differently, innovating and doing the unexpected. Our company is rooted in family values, a bold vision and relentless determination to continuously raise the bar and make a positive difference in consumers' lives. Founded in 1972, we've grown organically from a one-person import wine business into an international drinks company whose hallmarks include a portfolio of luxury wineries and iconic beverage brands, including White Claw® Hard Seltzer, Mike's Hard Lemonade, Cayman Jack and Más+ by Messi™.

Role Purpose:

The Data Scientist will support the Demand Planning team by leveraging advanced analytics, machine learning, and statistical modeling within O9 to improve forecasting accuracy and optimize decision-making. This role will enhance data visualization, automate processes, and drive data-driven insights to support strategic planning.

Accountabilities & Impact:

• Research, design, build, deploy, and validate new and existing univariate and machine learning models and predictive analytics for advanced forecasting in supply chain demand planning that will drive our customers growth from insights that are allow for better decision making
• Conduct thorough EDA to understand data patterns, detect anomalies, and identify key factors influencing supply chain dynamics. Utilize statistical and visualization tools to summarize and communicate findings effectively.
• Use latest advancements in Forecasting techniques (Univariate and AI/ML) to solve business problems
• Apply a variety of univariate and machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks.

Skills & Experiences Needed:

• Bachelor's Degree in Data Science or related; 2-5 years experience
• Experience in time series forecasting in scale using heuristic based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning
• Technical skills include Python, Python IDE's like PyCharm or Jupyter, Pyspark, Machine Learning, SQL
• Understanding of alcohol industry demand variability, seasonality, and business drivers

Compensation:

Compensation offered to prospective Team Members has taken internal equity into consideration and can vary depending on a positions' location. The final agreed upon wage may vary based on the job-related knowledge, skills, and experience of the individual.

• Competitive annual salary from $110,000 to $140,000, based in Chicago, IL
• Bonus plan designed to recognize company performance and individual contributions
• Comprehensive health and welfare benefits
• Company matching 401(k) contributions
• Paid time off including annual leave, paid sick time and holidays
• Extensive opportunities for training, development, and career growth

At Mark Anthony, we exist to Unearth the Extraordinary:

Our Purpose is not just a statement; it is a call to action that binds us together and ignites our passion for making a difference. It is the driving force behind why we do what we do every single day, connecting our global organization across all business units, roles, and locations. We are:

Best in Our Craft
We set the standard with a pursuit of excellence that can be found in everything from our products and processes to our plants and people.

Ambitiously Curious
We stay curious, dreaming big and navigating the unknown with an enduring belief in better.

Made With Humility
We bring humility, authenticity, fun, and support to every collaboration and celebrate wins as a team.

Daringly Disruptive
We disrupt the status quo, moving fast to seize opportunities and acting scrappy to stay ahead of industry giants.

At Mark Anthony, we believe every team member shares the responsibility of understanding how each of our roles and actions impact Quality, Food Safety, Safety and Continuous Improvement. This collective mindset is the cornerstone of our success as a leader in the consumer beverage space and requires us to mutually build and improve robust processes that guarantee unmatched customer satisfaction and safety