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 teamsengineering, product, marketingto 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. • Strong knowledge of machine learning techniques: regression, classification, clustering, neural networks. • Extensive experience with time series data modeling and analysis. • Hands-on experience with Python libraries: pandas, NumPy, SciPy. • Experience with SQL and relational databases. • Familiarity with data visualization tools such as Matplotlib and Seaborn. Preferred Skills • Applied experience in manufacturing environments or industrial analytics. • Experience deploying AI solutions in production systems. • Knowledge of big data technologies: Hadoop, Spark. • Cloud platform exposure (AWS, Google Cloud, Azure). • Familiarity with version control systems like Git.