Intermediate Data Scientist - Bees Data

Abinbev; Campinas; Presencial; BRL 180 000 - 280 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Private pension plan

Meal allowance

Health, dental, and life insurance

Discounts on Ambev products

Resumo da oferta

AB InBev Growth Group is seeking a data science professional to advance ML/DL algorithms for portfolio optimization, recommendations, and personalization. You will work with cross-functional teams in an agile setting, leveraging cloud platforms for scalable data processing.

The ideal candidate has a strong ML/DL background, experience with TensorFlow or PyTorch, and proficiency in Python/PySpark. This is a full-time role offering competitive benefits within AB InBev's Growth Group.

Qualificações

• Bachelor's degree in computer science, engineering, mathematics, or a quantitative field; master's preferred.
• Strong understanding of frontier algorithms in ML/DL for portfolio optimization, recommendations, personalization, promos, segmentation, imputation and insights discovery.
• Proficiency with ML frameworks such as TensorFlow or PyTorch and deployment of models.

Responsabilidades

• Collaborate with team to analyze datasets and develop ML/DL algorithms for portfolio optimization.
• Stay updated on ML/DL advances and apply frontier algorithms to business problems.
• Use Azure, Databricks, and Spark to process large-scale data.
• Use Python/PySpark for data manipulation, analysis, and modeling.
• Work with cross-functional teams in an agile environment to deliver solutions.

Conhecimentos

Frontier ML

Python/PySpark

Model deployment

Formação académica

Bachelor's degree in computer science, engineering, mathematics, or quantitative field

Master's degree preferred

Ferramentas

TensorFlow

PyTorch

Azure

Databricks

Spark

GitHub

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 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 & Aff…

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