Senior Data Scientist – Portfolio

Job not on LinkedIn

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AB InBev

WebsiteLinkedInAll Job Openings

10,000+ employees

🏨 Hospitality

📣 Marketing

✈️ Travel

Hospitality • Marketing • Travel

AB InBev is a global brewing company known for its extensive portfolio of over 500 beer brands, including iconic global and local names. Committed to sustainability and responsible drinking, the company has a heritage spanning more than 600 years. AB InBev continually seeks innovation in brewing and serves to celebrate beer as a beverage of moderation.

📋 Description

• Develop solutions for business problems involving portfolio optimization, recommendations, personalization, forecasting, segmentation, and insights discovery. • Collaborate on complex dataset analysis and develop and deploy advanced machine learning and deep learning algorithms. • Ensure solutions are robust, scalable, and aligned with business objectives while mentoring junior and mid-level data scientists. • Stimulate adoption of machine learning and deep learning advancements and frontier algorithms. • Architect and optimize large-scale data processing workflows on Azure, Databricks, and Spark. • Design and implement reliable data pipelines and modeling workflows using Python and PySpark. • Introduce automation and reusable components to improve team productivity and reduce operational overhead. • Engage with data engineering, product management, and business stakeholders to translate business needs into technical requirements. • Deliver impactful, end-to-end solutions and drive rapid iteration and continuous improvement.

🎯 Requirements

• Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field; Master’s preferred; PhD a plus. • Demonstrated success applying machine learning and statistical modeling techniques in production environments to drive measurable business impact. • Ability to translate complex technical concepts into clear, actionable insights for technical and non-technical stakeholders. • Experience or strong familiarity with experimentation frameworks, model validation, and rigorous evaluation, ideally in high-stakes decision systems. • Proven ability to apply machine learning and statistical models in production, balancing accuracy, stability, explainability, and real-world constraints. • Proficiency in Python for analysis, modeling, and production workflows; experience with distributed data processing such as Spark/PySpark is a plus. • Experience with modern ML development practices, including version control, CI/CD, and reproducible research and modeling workflows. • Strong proficiency using AI coding agents and developer tools in a controlled, thoughtful, and production-oriented way. • Creative, curious, and independent thinker who challenges assumptions and proposes novel approaches. • Excellent communication skills for explaining complex models and results to technical and non-technical audiences.

🏖️ Benefits

• 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