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Data Scientist - eCommerce

BeesRemote; United StatesFull-time$100k - $250k*Nov 17, 2022
ClosedAWSAzure

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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 Data Scientist to work within 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   

In this role, you will 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 execute on a roadmap to solve specific business problems for BEES customers. To do this, you will work together with our AI and Machine Learning team to help refine, tweak, and deploy our 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. Every day will be different, and 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
  • A self-starter who can work autonomously, and deliver results in a fast-paced environment 
  • 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 work experience required
  • MS/PhD preferred
  • Technical Skills
  • Effective programming skills in PythonExperience working with analytics packages (numpy, scipy, pandas, sklearn, mllib)
  • Experience with PySpark a plus
  • 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
  • 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

    

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