Senior Data Scientist - Bees Frontline

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 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.

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.

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.