Job Summary: We are seeking a highly experienced Data Scientist to join our analytics team, with a focus on advanced data modeling and AI applications in manufacturing. This role requires strong expertise in statistical modeling, machine learning, and time series analysis, coupled with a solid foundation in programming and data manipulation.
Key Responsibilities:
Data Analysis: Analyze large, complex datasets to uncover actionable insights for business and manufacturing operations.
Model Development: Design and implement machine learning models, including predictive and statistical models (e.g., regression, classification, clustering).
Time Series Modeling: Build and validate models using time-series data for forecasting and anomaly detection in industrial environments.
Visualization: Create dashboards and reports to visualize key metrics using tools such as Matplotlib and Seaborn.
Collaboration: Partner with cross-functional teams engineering, product, marketing to gather requirements and deliver high-impact data solutions.
Data Quality: Ensure data integrity through preprocessing, cleaning, and validation routines.
Reporting: Communicate findings to stakeholders through presentations and documentation.
Required Qualifications:
Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related discipline.
5+ years of experience in data science or analytics roles.
Proficiency in Python or R.
Experience with statistical/empirical model building.