
Data Scientist
3 weeks ago
*Key Responsibilities:*
Work with business team to understand the data sources and do a detailed EDA of data available to establish quality and completeness of data.
Design, implement, and maintain robust data preparation pipelines based on available data (should understand manufacturing datasets) to support ML Models.
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 the available data basis business requirement.
Work effectively in a *global, cross-functional team* using *agile methodologies*
*Must-Have Qualifications:*
*4+ years* of experience in *Data Science* with strong *Machine Learning* expertise.
Hands-on experience of building scalable and deploying ML solutions.
Proven expertise working with datasets in the *transportation, logistics, or fleet management* domains.
Experience in projects with KPIs like route efficiency, fuel usage, delivery time, fleet utilization, etc. is preferred
Knowledge of how to build *recommendation systems* and personalization algorithms using traditional ML models.
Proficient in *Python*, *SQL*, and ML libraries like *scikit-learn*, *pandas*, etc and OOPs concepts.
Experience with *cloud platforms* (Azure preferred)
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