Senior Data Scientist - BEES Logistics at Jobgether in Brazil, BR

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist - BEES Logistics based in Brazil.

This role sits at the core of a global digital transformation initiative, focused on building intelligent systems that redefine how products move through complex logistics networks. You will join a high-impact data science environment where machine learning, optimization, and advanced analytics are applied to solve large-scale operational challenges across multiple markets. The position plays a key role in improving delivery reliability, efficiency, and cost-effectiveness, directly influencing customer experience at scale. You will work on end-to-end solutions, from research and modeling to production deployment, within a highly collaborative and data-driven organization. The role requires strong problem-solving skills and the ability to translate real-world logistics constraints into scalable algorithms. It offers exposure to cutting-edge techniques in forecasting, geospatial analytics, and optimization, with significant ownership and visibility. You will collaborate closely with engineering, product, and operations teams in a fast-paced, innovation-oriented environment.

Accountabilities:

• Design, develop, and deploy machine learning models and optimization solutions to improve logistics planning, forecasting, and operational decision-making.
  • Translate complex logistics constraints into scalable mathematical, statistical, and data-driven models.
  • Build production-ready data pipelines and reusable modeling frameworks to support large-scale deployment.
  • Apply advanced techniques such as forecasting, optimization, and geospatial analytics to improve delivery performance and efficiency.
  • Conduct experimentation, offline evaluation, and online testing to validate model performance and business impact.
  • Collaborate with engineers, product managers, and operations teams to deliver end-to-end data science solutions.
  • Contribute to continuous improvement by exploring and applying new methodologies in machine learning and applied statistics.

Requirements:

    - Strong foundation in mathematics, statistics, computer science, or related quantitative fields (Master’s or PhD preferred).
    - Proven experience applying machine learning, optimization, or advanced analytics in production environments.
    - Strong Python programming skills for data analysis, modeling, and production workflows.
    - Experience with large-scale or complex systems involving uncertainty, constraints, and high-volume data.
    - Familiarity with at least one core domain: optimization, forecasting, geospatial analytics, or operational systems.
    - Experience with experimentation frameworks, model validation, and performance monitoring.
    - Strong understanding of software engineering best practices, including version control and reproducible workflows.
    - Experience with distributed data processing tools (e.g., Spark/PySpark) is a plus.
    - Strong analytical thinking, autonomy, and ability to work with ambiguity.
    - Excellent communication skills, with the ability to explain technical concepts to diverse audiences.

Benefits:

        - 💰 Performance-based bonus and attendance bonus (based on eligibility rules).
        - 🏥 Health, dental, and life insurance coverage.
        - 🏦 Private pension plan with employer contribution.
        - 🥘 Meal allowance and transport allowance.
        - 🏋️ WellHub partnership for fitness and wellness support.
        - 👶 Childcare subsidies and family support programs.
        - 🎓 Access to scholarships, training platforms, and language learning resources.
        - 🍺 Discounts on company products and partner benefits programs.
        - 🏢 Casual office environment with flexible dress code.
        - 🗓️ Paid days off and additional leave benefits (based on policy rules).
        - 💊 Medicine discounts and additional employee assistance programs.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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