Intermediate Data Scientist - Bees Data

Anheuser-Busch InBev
Campinas
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Cross-functional collaboration","Agile development","Automation mindset","Technical problem solving"]

Collaborate with teams to analyze complex datasets and build machine learning and deep learning models for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery. Stay current on frontier ML techniques and apply them to business problems. Use Azure, Databricks, and Spark to process large-scale data, and leverage Python/PySpark for modeling and automation. Partner with data engineers, stakeholders, and product managers in an agile delivery approach.

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Anheuser-Busch InBev
Anheuser-Busch InBev
5 days ago

Intermediate Data Scientist - Bees Data

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Last checked: 2 hours agoStatus: Live

Job Summary

Collaborate with teams to analyze complex datasets and build machine learning and deep learning models for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery. Stay current on frontier ML techniques and apply them to business problems. Use Azure, Databricks, and Spark to process large-scale data, and leverage Python/PySpark for modeling and automation. Partner with data engineers, stakeholders, and product managers in an agile delivery approach.
Location: Campinas
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Analyze complex datasets and develop machine learning/deep learning models for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery.
  • •Apply frontier ML algorithms to drive innovation across team projects and stay current with advances in the field.
  • •Use Azure, Databricks, and Spark to efficiently process and analyze large-scale datasets for scalable solutions.
  • •Use Python/PySpark for data manipulation, analysis, and modeling, and implement automation workflows to streamline processes.
  • •Collaborate with data engineers, business stakeholders, and product managers to understand requirements and deliver high-quality solutions in an agile environment.

Pay and Benefits

Perks:Annual BonusPrivate PensionMeal AllowanceHealth InsuranceDentalLife InsuranceCommuter BenefitsChildcare SubsidiesMedicines Discounts

Key Requirements

  • •Bachelor’s degree in computer science, engineering, mathematics, or a quantitative field; a master’s degree is a plus.
  • •Strong understanding of frontier machine learning and deep learning approaches for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery.
  • •Proficiency with machine learning frameworks such as TensorFlow or PyTorch, including implementing and deploying models.
  • •Experience with cloud platforms including Azure, Databricks, and Spark for big data processing and analysis.
  • •Proficiency in Python/PySpark and knowledge of relevant libraries and frameworks.
Education:Bachelor's
Skills:Cross-functional collaborationAgile developmentAutomation mindsetTechnical problem solving
Languages:English
Tech Stack:PythonPySparkAzureDatabricksSparkTensorFlowPyTorchGitHubCI/CD

Company Brief

Anheuser-Busch InBev
A global brewer producing, distributing, and marketing beer and other beverages across hundreds of brands, including Budweiser, Stella Artois and Corona. Operates a vast global supply chain and retail network serving consumers worldwide.
Industry: Food & Beverage
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Leuven, Belgium
Founded: 2008
WebsiteLinkedIn