Intermediate Data Scientist - Bees Data

AB InBev | Growth Group; Campinas; Presencial; BRL 180 000 - 240 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Performance bonus

Attendance bonus

Casual dress code

Days off

Health insurance

Product discounts

School materials

Language and training platforms

Resumo da oferta

AB InBev Growth Group in Campinas seeks a skilled data scientist to analyze complex datasets and build cutting-edge ML and deep learning models for portfolio optimization, personalization, and promos. You'll work with Azure, Databricks, Spark, and Python/PySpark to deliver scalable solutions.

Collaborating with data engineers, business stakeholders and product managers, you will apply frontier algorithms, stay current with research, and participate in agile sprints to drive innovation across AB

Qualificações

• Bachelor’s degree in a quantitative field; master’s preferred.
• Deep understanding of frontier ML algorithms and related domains.
• Experience with ML frameworks TensorFlow or PyTorch.
• Cloud data processing on Azure, Databricks, Spark.
• Python/PySpark for data manipulation and modeling.
• Git-based CI/CD and collaboration tools knowledge.
• Ability to design and automate data workflows.

Responsabilidades

• Collaborate to analyze complex datasets and develop ML/deep learning models for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights.
• Stay up to date with ML/DL advancements and apply frontier algorithms to drive innovation.
• Utilize Azure, Databricks, and Spark to process large-scale data efficiently.
• Use Python/PySpark for data manipulation, analysis, and modeling tasks and automate workflows.
• Work with cross-functional teams in an agile environment to deliver high-quality solutions.

Conhecimentos

Frontier ML algorithms

Python/PySpark

TensorFlow/PyTorch

CI/CD with Github

Formação académica

Bachelor's degree in CS/Engineering/Math or quantitative field

Master's degree is a plus

Ferramentas

TensorFlow

PyTorch

Azure

Databricks

Spark

Descrição da oferta de emprego

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*
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Discounts on Ambev products*
• School materials assurance
• Language and training platforms

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.