AB InBev · 1 month ago
Senior Data Scientist | BEES Personalization
Remoto
Full-time
Onsite
Senior LevelAB InBev is a global leader in the beverage industry, and they are seeking a Senior Data Scientist to join their BEES Applied Science team. The role involves developing advanced machine learning solutions for various business challenges while collaborating with cross-functional teams and mentoring junior data scientists.
BrewingSalesSupply Chain ManagementWholesale
Responsibilities
Collaborate on the design of complex analysis of datasets and the development and deployment of advanced machine learning and deep learning algorithms for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insight discovery. Ensure that solutions are robust, scalable, and aligned with business objectives while mentoring junior and mid-level data scientists
Actively stimulate the machine learning and deep learning update on advancements, continuously incorporating cutting-edge techniques to solve complex business problems. Champion the adoption of frontier algorithms to drive innovation and technical excellence across the team’s initiatives
Architect and optimize large-scale data processing workflows on cloud platforms such as Azure, Databricks, and Spark, ensuring performance and scalability. Guide best practices in leveraging these platforms to accelerate delivery
Support the design and implementation of reliable data pipelines and modeling workflows using Python and PySpark. Introduce automation and reusable components that enhance team productivity and reduce operational overhead
Engage proactively with cross-functional teams—including data engineering, product management, and business stakeholders—to translate business needs into technical requirements and deliver impactful, end-to-end solutions. Foster an agile mindset, driving rapid iteration and continuous improvement
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Mathematics, or any quantitative field
Demonstrated success applying machine learning and statistical modeling techniques in production environments to drive measurable business impact
Experience mentoring and coaching data scientists and engineers, fostering skill development and knowledge sharing within cross-functional teams
Experience working with cloud platforms such as Azure, Databricks, and Spark for big data processing and analysis
Exceptional communication skills, with the ability to translate complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders
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
Understanding of workflows and automation tools to streamline processes and enhance efficiency
Preferred
Master's or PhD strongly preferred
Familiarity with other collaboration tools is a plus
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
Company
AB InBev
AB InBev is a drink and brewing company that produces and supplies a comprehensive range of beer products.
Founded in 2005
10001+ employees
H1B Sponsorship
AB InBev has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (3)
2023 (1)
2022 (1)
2021 (3)
2020 (2)
Funding
Current Stage
Late StageLeadership Team
Bernardo Novick
Global VP of Resource Allocation
Recent News
2025-11-05
2025-11-01
Company data provided by crunchbase