Anheuser-Busch InBev

1 month ago

Senior Data Scientist - BEES Logistics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 minutes agoStatus: Live

Job Summary

Senior data scientist on the BEES Logistics team building end-to-end intelligent systems to optimize global delivery planning and operations. You will design and productionize ML models and optimization solutions for planning, forecasting, and decision-making, collaborating with engineers, product managers, and operations to improve reliability, efficiency, and cost at scale.

Location: Campinas

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Be part of a high-impact data science team building intelligent logistics systems that optimize delivery operations at a global scale.
•Design, develop, and deploy machine learning models and optimization solutions across the full lifecycle—from research to production—focusing on planning, forecasting, and operational decision-making.
•Apply advanced techniques such as statistical modeling, optimization, geospatial analytics, and forecasting to improve efficiency, reliability, and cost of delivery operations.
•Translate complex real-world logistics constraints into scalable mathematical models and data-driven systems.
•Collaborate closely with engineers, product managers, operations teams, and business stakeholders to deliver impactful solutions.

Pay and Benefits

Perks:Health InsurancePensionMeal AllowanceCommuter BenefitsChildcare SubsidiesScholarship

Key Requirements

•Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field; Master’s preferred; PhD is a plus.
•Proven experience applying machine learning, optimization, or advanced analytics to real-world problems in production environments.
•Experience with complex systems involving uncertainty, constraints, and large-scale data.
•Proficiency in Python for data analysis, modeling, and production workflows; distributed processing (e.g., Spark / PySpark) is a plus.
•Strong communication skills and ability to explain technical concepts to both technical and non-technical audiences.

Experience:LogisticsData scienceMachine learningOptimizationGeospatial analytics

Education:Bachelor's

Languages:English

Tech Stack:PythonSparkPySparkGeospatial analyticsStatistical modelingOptimizationCI/CDVersion control

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

Website LinkedIn

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Anheuser-Busch InBev

1 month ago

Senior Data Scientist - BEES Logistics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 minutes agoStatus: Live

Job Summary

Location: Campinas

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Be part of a high-impact data science team building intelligent logistics systems that optimize delivery operations at a global scale.
•Design, develop, and deploy machine learning models and optimization solutions across the full lifecycle—from research to production—focusing on planning, forecasting, and operational decision-making.
•Apply advanced techniques such as statistical modeling, optimization, geospatial analytics, and forecasting to improve efficiency, reliability, and cost of delivery operations.
•Translate complex real-world logistics constraints into scalable mathematical models and data-driven systems.
•Collaborate closely with engineers, product managers, operations teams, and business stakeholders to deliver impactful solutions.

Pay and Benefits

Perks:Health InsurancePensionMeal AllowanceCommuter BenefitsChildcare SubsidiesScholarship

Key Requirements

•Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field; Master’s preferred; PhD is a plus.
•Proven experience applying machine learning, optimization, or advanced analytics to real-world problems in production environments.
•Experience with complex systems involving uncertainty, constraints, and large-scale data.
•Proficiency in Python for data analysis, modeling, and production workflows; distributed processing (e.g., Spark / PySpark) is a plus.
•Strong communication skills and ability to explain technical concepts to both technical and non-technical audiences.

Experience:LogisticsData scienceMachine learningOptimizationGeospatial analytics

Education:Bachelor's

Languages:English

Tech Stack:PythonSparkPySparkGeospatial analyticsStatistical modelingOptimizationCI/CDVersion control

Company Brief

Anheuser-Busch InBev

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

Website LinkedIn