Intermediate Data Scientist - Bees Data

BEES; Campinas; Presencial; BRL 120 000 - 240 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

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

Resumo da oferta

AB InBev’s ABI GrowthGroup seeks a data scientist/ML engineer to develop frontier ML/DL models for portfolio optimization, recommendations, personalization, and insights discovery. You will leverage Azure, Databricks, Spark and Python/PySpark to process large datasets and deploy scalable models.

The role requires TensorFlow or PyTorch experience, CI/CD with GitHub, and a collaborative, agile approach, based in the Brazil (São Paulo area) office.

Qualificações

• Bachelor's degree in computer science, engineering, mathematics, or any quantitative field.
• Strong understanding of frontier algorithms in ML/DL and related techniques.
• Proficiency with TensorFlow or PyTorch and deploying models.
• Experience with Azure, Databricks, Spark for big data processing.
• Proficient in Python/PySpark for data manipulation, analysis, and modeling.

Responsabilidades

• Collaborate with team members to analyze complex datasets and develop ML/DL algorithms for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery.
• Stay current with ML/DL advancements and apply frontier algorithms to drive innovation across projects.
• Utilize Azure, Databricks, and Spark to process and analyze large-scale datasets and deliver scalable solutions.
• Collaborate with data engineers, product managers, and stakeholders in an agile environment to deliver high-quality results.

Conhecimentos

Machine learning

Deep learning

Python

PySpark

Formação académica

Bachelor's degree in CS/Engineering/Math

Ferramentas

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 ABI GrowthGroup

ABI’s Growth Division is the center of innovation and tech development within ABI, which is driving ABI’s growth by developing innovations for the core beer business and creating new hyper‑growth tech businesses.

ABI Growth includes the following business lines: BEES (our business‑to‑business e‑commerce and SaaS business, also focused on new technologies), TaDa and Ze Delivery (our direct‑to‑consumer e‑commerce businesses), and several other high‑tech divisions, including fintech and venture capital.

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 & Affluent Action:

ABI GrowthGroup is proud to be an Equal Opportunity and Affluent 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.

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

Demographic Brazil

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.

When you apply to a job on this site, the personal information contained in your application will be collected by ABINBEV SERVICES LLC. Your personal information will be processed in accordance with the law for the purposes of managing ABINBEV’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes.

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.

Your personal information will be retained by us for 2 (two) years from collection. You have the right to request access to your personal information, to request that your personal information be rectified or erased, and to request that processing of your personal data be restricted at any time. You can do so by contacting https://contactus.ab-inbev.com/ if you are located outside Europe, and emailing [e-mail] if you are located in Europe. We expect that our procedures will deal fairly and promptly with your request. However, if you remain dissatisfied, you have the right to lodge a complaint with your local data protection authority.

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