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Data Scientist | BEES Personalization

Remoto

 

About BEES

BEES, our ambition is – and always will be – to put customers at the heart of everything we do. Making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers and the companies that service them, unlocking new growth opportunities for all. With offices in São Paulo and Campinas, we encourage our team to participate in major events and significant meetings throughout the year.

 

The Team: BEES is the team driving AI strategy at BEES by building end-to-end products to serve our teams, customers, and partners across the globe. The organization is a cross-functional blend of AI/ML teams from Applied Research and Machine Learning Engineering to Machine Learning Platform Product Management. Together the team is responsible for building the tools and products needed to deliver world class AI/ML capabilities

 

As a member of BEES Applied Science team, you will develop solutions for challenging business problems in areas such as portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery. The ideal candidate should hold a bachelor's degree in any quantitative field; strong mastery of frontier algorithms in machine and deep learning; plus working knowledge of cloud platforms (Azure, Databricks) for ML applications. Proficiency in python / pyspark programing, collaboration tools, and working knowledge of CI/CD tools like GitHub is required. Knowledge of workflows for automation is also require

 

What you will do:

  • Collaborate with team members to analyze complex datasets, develop and implement cutting-edge machine learning and deep learning algorithms for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery.
  • Stay up to date with the latest advancements in machine learning and deep learning algorithms, ensuring a strong technical foundation to solve complex business problems. Apply frontier algorithms to drive innovation across the team's projects.
  • Utilize cloud platforms like Azure, Databricks, and Spark to efficiently process and analyze large-scale datasets. Leverage the full potential of these platforms to deliver scalable and performant solutions.
  • Utilize Python/PySpark for data manipulation, analysis, and modeling tasks. Implement automation workflows to streamline processes and enhance productivity using tools and frameworks.
  • Collaborate closely with cross-functional teams, including data engineers, business stakeholders, and product managers, to understand project requirements and deliver high-quality solutions. Embrace an agile development approach to iterate quickly and efficient

Qualifications:

  • Bachelor's degree in computer science, engineering, mathematics, or any quantitative field. A master's degree is a plus.
  • Strong technical skills and deep understanding of frontier algorithms in machine learning and deep learning. Familiarity with techniques for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery.
  • Proficiency in machine learning frameworks such as TensorFlow or PyTorch. Experience in implementing and deploying models using these frameworks.
  • Experience working with cloud platforms such as Azure, Databricks, and Spark for big data processing and analysis.
  • Proficiency in Python/PySpark for data manipulation, analysis, and modeling tasks. Strong knowledge of relevant libraries and frameworks.
  • Good knowledge of CI/CD tools like Github for version control and collaboration. Familiarity with other collaboration tools is a plus.
  • Understanding of workflows and automation tools to streamline processes and enhance efficiency.

What We Offer:

  • Performance based bonus*
  • Attendance Bonus* 
  • Private pension plan
  • Meal Allowance
  • Casual office and dress code
  • Days off*
  • Health, dental, and life insurance
  • Medicines discounts
  • WellHub partnership
  • Childcare subsidies
  • Discounts on Ambev products*
  • Clube Ben partnership
  • Scholarship*
  • School materials assurance
  • Language and training platforms
  • Transport allowance

*Rules applied

Equal Opportunity & Affirmative Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

The following fields are optional, but anticipate the information for your registration*.

Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. 

For more information: www.abinbev.com 

 

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ABInBev is committed to creating a diverse and inclusive workforce and culture. We conduct confidential surveys to better understand & ensure we provide equal opportunity throughout our end-to-end recruitment process. Individuals seeking employment at ABInBev are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

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On a voluntarily basis and subject to receiving your express consent, you’ll be asked demographic questions about your ethnicity, gender, sexual orientation and ability status. We collect this information for the purposes of supporting a diverse and inclusive workforce - it will not be considered in the hiring process or thereafter and all information will be reviewed collectively rather than individually. We won’t sell or share this information with third parties, but please note that we use Greenhouse Software Inc to manage the recruitment and hiring process on our behalf.

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