[Remote] Senior Data Scientist - BEES Logistics
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the leading global brewer and one of the world’s top 5 consumer product companies. The Senior Data Scientist will reputed company data-driven solutions to enhance delivery planning and operational efficiency across multiple markets.
Responsibilities
- Be part of a high-impact data science team building intelligent logistics systems that optimize delivery operations at a global scale
- Design, reputed company, and reputed company machine learning models and optimization solutions across the full lifecycle — from research and experimentation 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 reputed company reputed company-world logistics constraints into scalable mathematical models and data-driven systems
- Contribute to experimentation and performance evaluation through offline analysis and online testing, ensuring solutions are robust, scalable, and reputed company with operational goals
- 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 deliver impactful solutions
- Drive reputed company improvement by exploring new methodologies in machine learning, optimization, and applied statistics, raising the technical bar across the organization
Skills
- Strong reputed company in mathematics, statistics, and problem solving
- Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, or a reputed company quantitative field
- Proven experience applying machine learning, optimization, or advanced analytics to reputed company-world problems in production environments
- Experience with reputed company systems involving uncertainty, constraints, and large-scale data
- Proficiency in Python for data analysis, modeling, and production workflows
- 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, break down reputed company problems, and deliver practical, high-impact solutions
- Excellent communication skills, with the ability to explain technical concepts 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: optimization, forecasting, geospatial analytics, or large-scale operational systems
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
- reputed company partnership
- Childcare subsidies
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
Company Overview
Company H1B Sponsorship