Global Manager, eCommerce Data Scientist

About AB InBev  

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands we’re number one or two in many of the world’s top beer markets: North America, Latin America, Europe, Asia, and Africa.  

About BEES

BEES, a part of the AB InBev family, is a digital organization within ABI building a platform to improve the ways retailers run their businesses and interact with the world’s largest brewer & other suppliers. We provide transactional and educational resources to SMB retailers across the world to help reduce the overhead of their day-to-day operations and make their businesses more profitable. Today more than 1 million SMB retailers across 18 countries use the BEES platform to source manage their business.

Our team is in search of a Global Manager, eCommerce Data Scientist to be a leader in our Global Revenue Management & Commercial organization and help develop and maintain algorithms geared towards solving business problems and provide commercial value for ABI.    

About the Job  

As a Global Manager, eCommerce Data Scientist, you work with AB InBev’s massive, multinational internal and external data sources to bring value to our core business. You will be working closely with our global Revenue Management & Commercial team to define problems, possible solutions, and KPIs based on their knowledge of the business and the unique markets AB InBev operates in. You will build out and execute on a roadmap to solve specific business problems, working with our product management, core technology, and data engineering teams to bring your solutions to life. Additionally, you will work together with our AI and Machine Learning team to help refine, tweak, and deploy our core models in markets across the world. 

At AB InBev, we believe the best models and solutions are data driven and built iteratively and collaboratively with all parts of our business. On any given day, your role spans doing a high level presentation to a senior executive to get buy-in to flying to our many international markets around the world to see why a certain model is not performing as well as expected in the field. You will be at the forefront of our journey towards transforming our traditional operations into a digital, data driven business. 

About You:  

• Have experience working in a central analytics or data science role within a large enterprise and international environment or a product-driven venture-backed tech company
• A self-starter who can lead multiple strategic projects and deliver results in a fast-paced environment 
• Lead from the front – not afraid to get hands dirty in troubleshooting a data problem or chasing a modeling issue through resolution 
• A creative thinker – enjoys challenges and has a passion for solving complex problems and generating multi-functional solutions
• Have strong communication skills - able to clearly understand business objectives and translate them to an end to end data science and/or analytics plan
• Have experience working with both highly technical and non-technical profiles on a day-to-day basis

Desired Qualifications: 

• BA/BS degree in a quantitative field (Computer Science, Math, Physics, Statistics, Operations Research, or similar technical field) with 2+ years of work experience required
• MS/PhD preferred
• Technical Skills
• Excellent programming skills in Python, Tensorflow, PyTorch, PySpark or similar language
• Experience working with analytics packages (numpy, scipy, pandas, sklearn, mllib)
• Experience with data visualization tools (Looker, Retool)
• Foundational understanding of, and experience applying classical machine learning techniques (supervised, unsupervised) to noisy data
• Knowledge of deep learning and reinforcement learning a plus
• Proven experience taking an abstract business problem from ideation to production level enterprise deployment:
• Initial scoping with the business owner and high level stakeholders
• Planning and finalizing a roadmap of execution with milestones and core KPIs to measure success
• Executing against the roadmap, working cross-functionally with our internal team
• Building out all the analysis and modeling work necessary to drive towards a solution
• Communicating status daily to the business and core stakeholders
• Deploying a full solution to production environment
• Iterating on the solution (modeling, data sets, KPIs, business requirements) based on real-time feedback
• Experience with:
  • Mining structured and unstructured data to identify novel ways to approach and solve business problems
  • Working with messy, unstructured data
  • Working with the Data Engineering team to scope out upstream data and pipeline requirements to maintain model
  • Independently pull your own dataset for analysis from cloud services and Data Warehouses such as: Google Big Query, Snowflake, AWS, or Azure
  • Managing a full end-to-end model pipeline
  • Defining the right experiments to identify whether models are driving business value

You will:  

• Take ownership of understanding the business and operational problems at hand and how to best solve them through a data-driven approach 
• Create and maintain your own algorithms
• Work fluidly across ABI’s global and local teams and functions (sales, finance, marketing, product, IT, etc.) to make data-driven initiatives successful in an efficient way
• Prioritize and find the most efficient path towards solving complex, ambiguous business problems with data, keeping a mindset of simplicity, robustness and speed above all