Data Scientist (Transportation & Logistics)

As a Data Scientist in Transportation & Logistics, your role involves working closely with the business team to understand data sources and conduct a detailed Exploratory Data Analysis (EDA) to ensure data quality and completeness. You will be responsible for designing, implementing, and maintaining robust data preparation pipelines tailored to manufacturing datasets to support Machine Learning (ML) Models. Your analysis of structured and semi-structured datasets will help identify trends, anomalies, and opportunities for improvement. Ad-hoc analysis using statistical and machine learning algorithms based on business requirements will be a key part of your responsibilities. Working in a global, cross-functional team using agile methodologies is essential for effective collaboration. **Key Responsibilities:** - Collaborate with the business team to understand data sources and perform EDA to assess data quality - Design, implement, and maintain data preparation pipelines for ML Models using manufacturing datasets - Analyze structured and semi-structured datasets to identify trends, anomalies, and improvement opportunities - Conduct ad-hoc analysis using statistical and machine learning algorithms based on business requirements - Work effectively in a global, cross-functional team using agile methodologies **Qualifications Required:** - 4+ years of experience in Data Science with a strong focus on Machine Learning - Hands-on experience in building and deploying scalable ML solutions - Proven expertise in working with datasets related to transportation, logistics, or fleet management - Experience in projects involving KPIs such as route efficiency, fuel usage, delivery time, and fleet utilization - Knowledge of building recommendation systems and personalization algorithms using traditional ML models - Proficiency in Python, SQL, and ML libraries like scikit-learn, pandas, etc., along with OOPs concepts - Experience with cloud platforms, with a preference for Azure This job offers an exciting opportunity to apply your Data Science expertise in the transportation and logistics domain, working on impactful projects that optimize operations and drive business success.,