[Remote] Senior Data Scientist - Bees Frontline
Note: The job is a remote job and is open to candidates in USA. AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. They are seeking a Senior Data Scientist to develop data-driven solutions that enhance sales force effectiveness and customer engagement through intelligent systems and machine learning models.
Responsibilities
- Be part of a high-impact data science team building intelligent systems that support sales execution and customer engagement at a global scale
- Design, develop, and deploy machine learning models and optimization solutions across the full lifecycle — from research and experimentation to production — focusing on customer segmentation, visit planning, and execution strategy
- Apply advanced techniques such as statistical modeling, clustering, optimization, and model explainability to generate actionable insights and improve decision-making
- Translate complex commercial and operational problems into scalable data science solutions, incorporating business rules, constraints, and edge cases
- Lead and contribute to experimentation and performance evaluation, ensuring models are robust, interpretable, and aligned with business objectives
- Write production-grade code and build reusable data and modeling pipelines that operate reliably at scale
- Collaborate closely with engineers, product managers, operations teams, and business stakeholders to ensure solutions are effectively integrated into frontline tools and processes
- Drive technical excellence by exploring and applying state-of-the-art methodologies in machine learning, optimization, and analytics
- Ensure model transparency and trust by leveraging explainability techniques and clearly communicating model behavior and trade-offs to stakeholders
Skills
- Strong foundation in mathematics, statistics, and problem-solving
- Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field
- Proven experience applying machine learning, clustering, optimization, or advanced analytics to real-world problems in production environments
- Experience with complex systems involving uncertainty, business constraints, and large-scale structured and unstructured data
- Proficiency in Python for data analysis, modeling, and production workflows
- Experience with model explainability techniques (e.g., SHAP, feature importance, dimensionality reduction methods such as PCA) and interpreting model outputs for business use
- Experience with experimentation frameworks, model validation, and performance monitoring
- Strong understanding of software engineering best practices, including version control, CI/CD, and reproducible workflows
- Ability to work with ambiguity, challenge assumptions, and translate complex business needs into structured analytical solutions
- Excellent communication skills, with the ability to explain complex models, trade-offs, and insights to both technical and non-technical audiences
- Master's preferred
- PhD is a plus
- Experience with distributed processing (e.g., Spark / PySpark) is a plus
- Familiarity with at least one of the following domains: customer analytics, route-to-market strategy, or commercial operations
Benefits
- Performance-based bonus*
- Attendance bonus*
- Private pension plan
- Meal allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance plans
- Discounts on medications
- Partnership withWellHub
- Childcare assistance
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship program*
- School supplies support
- Language learning platforms and training
- Transportation allowance
Company Overview
Company H1B Sponsorship