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Tier-1 brand, popular data scientist title, mid-level experience band, metro location increase competition.
Role focuses on last-mile logistics and OR methods, making cross-industry transferability limited.
Explicit years, required data querying skills, and domain-specific OR/ML experience raise filter strictness.
Apply algorithms and machine learning models to solve complex, large-scale logistics problems related to last mile delivery including routing, planning, and forecasting.
Synthesize information from multiple systems and data sources to identify business opportunities and deliver data-driven insights for decision making.
Communicate technical and business requirements effectively across teams and stakeholders to facilitate science-driven delivery solutions.
Minimum 2 years experience as a data scientist or in a role involving data extraction, statistical modeling, and communication.
Minimum 2 years experience in data querying languages such as SQL or Hadoop/Hive.
Master's degree in a quantitative field, or Bachelor's degree plus 5+ years experience in statistics, mathematics, data science, or related quantitative disciplines.
Experience applying theoretical models in practical business environments.
Strong background in Operations Research and/or Machine Learning methods with applied experience to large-scale business problems.
Experience coding production-worthy models in Python or Java.
Ability to communicate complex technical topics clearly to diverse stakeholders including non-technical partners.