Intermediate Data Scientist - Bees Data

AB InBev

Campinas

Presencial

BRL 180 000 - 300 000

Tempo integral

14 dias+
Gerador de candidaturas

Uma candidatura completa num minuto — currículo e carta de apresentação personalizados, prontos a enviar.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Performance bonus
Meal allowance
Health, dental, life insurance
Transport allowance

Resumo da oferta

AB InBev Growth Group seeks a data science professional to analyze complex datasets and develop machine learning models for portfolio optimization, recommendations, and personalization. You will use Python/PySpark and frontier algorithms to drive insights.

Leveraging Azure Databricks and Spark, you will deliver scalable data solutions while partnering with cross-functional teams in an agile environment. This role emphasizes growth and innovation within AB InBev Growth Group.

Qualificações

  • Bachelor's degree in computer science, engineering, mathematics, or quantitative field.
  • Strong knowledge of frontier ML/DL algorithms and portfolio optimization techniques.
  • Experience with TensorFlow or PyTorch and model deployment.
  • Experience with Azure, Databricks, Spark for big data processing.
  • Proficiency in Python/PySpark for data manipulation and modeling.
  • Familiarity with CI/CD (GitHub) and automation workflows.

Responsabilidades

  • Collaborate to analyze complex datasets and develop ML/DL models for portfolio optimization and personalization.
  • Stay current with ML/DL advances and apply frontier algorithms across projects.
  • Leverage Azure, Databricks, Spark to deliver scalable solutions.
  • Implement Python/PySpark workflows and automation to boost productivity.
  • Partner with data engineers, stakeholders, and product managers in an agile setup.

Conhecimentos

Machine learning
Deep learning
Python
PySpark
Azure Databricks
Spark
CI/CD GitHub
Portfolio optimization
Recommendations
Personalization

Formação académica

Bachelor's in CS/Engineering/Math
Master's degree (plus)

Ferramentas

TensorFlow
PyTorch
GitHub
Azure
Databricks
Spark

Descrição da oferta de emprego

About us

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, including North America, Latin America, Europe, Asia, and Africa.

About AB InBev Growth Group

Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.

In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

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 efficiently.
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 discountsWellHub partnership
  • Childcare subsidies
  • Discounts on Ambev products*
  • Clube Ben partnership
  • Scholarship*
  • School materials assurance
  • Language and training platforms
  • Transport allowance

*Rules applied

Equal Opportunity & AffiantAction:

AB InBev Growth Group is proud to be an Equal Opportunity and Affinitive 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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