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BEES

Intermediate Data Scientist - Bees Data

BEES · Campinas, São Paulo, Brazil

Posted 16 days ago

or apply directly on BEES's site. We never take the application ourselves.

Is this posting real?

This role has been open
16 days
BEES's roles stay open a median of 40 days
Reposted
No
Salary listed
No
0% of BEES's roles list one
Ghost-job risk at BEES
high
20 stale, 3 reposted of 49 open
Hiring momentum
82 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from BEES's own greenhouse board since 2026-08-03. Full hiring picture for BEES.

About this role

As an Intermediate Data Scientist at AB InBev, you will collaborate with team members to analyze complex datasets and implement advanced machine learning and deep learning algorithms for various applications such as portfolio optimization and insights discovery. You will utilize cloud platforms like Azure and Databricks, and work with Python/PySpark for data manipulation and modeling, while engaging with cross-functional teams in an agile environment.

Our read on this posting3.4out of 5
benefits
5/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of BEES as an employer.

What you need

  • Bachelor's degree in computer science, engineering, mathematics, or any quantitative field
  • Strong technical skills and deep understanding of frontier algorithms in machine learning and deep learning
  • Proficiency in machine learning frameworks such as TensorFlow or PyTorch
  • Experience working with cloud platforms such as Azure, Databricks, and Spark
  • Proficiency in Python/PySpark for data manipulation, analysis, and modeling tasks
  • Good knowledge of CI/CD tools like Github for version control and collaboration

Nice to have

  • Master's degree
  • Familiarity with techniques for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery
  • Familiarity with other collaboration tools

What you get

  • Performance based bonus
  • Attendance Bonus
  • Private pension plan
  • Meal Allowance
  • Casual office and dress code
  • Days off

Worth weighing

  • No salary listed
  • The role involves working with advanced algorithms which may require continuous learning and adaptation to new technologies
  • The job emphasizes collaboration with cross-functional teams, which may vary in dynamics and expectations

Summarised from BEES's posting. Read the full original.

Listed by BEES on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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