Job Description Below:- Role: Data Scientist Location: Sunnyvale, CA - Onsite Education: • Master's or Ph.D. degree in Data Science, Statistics, Computer Science, or a related field. • Experience: 5+ years of experience in data science, analytics, or a related field. • Experience with applications in Manufacturing is desirable. Technical Skills: • Proficiency in programming languages such as Python or R. • Proficiency in statistical/empirical model building • Extensive experience with time series data, analysis, and modeling • Strong knowledge of statistical principles and machine learning techniques (e.g., regression, classification, clustering, neural networks). • Experience with data manipulation and analysis using libraries such as pandas, NumPy, and SciPy. • Familiarity with data visualization tools (e.g., Matplotlib, Seaborn). • Experience with SQL and relational databases. • Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus. Additional Skills (Preferred): • Experience in deploying AI-based solutions in a manufacturing environment. • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure). • Familiarity with version control systems (e.g., Git). • Data Analysis: Analyze large, complex datasets to identify trends, patterns, and insights that inform business decisions. • Model Development: Develop, implement, and validate predictive models and machine learning algorithms to solve various business problems. • Data Cleaning: Preprocess and clean data to ensure its quality and integrity before analysis. • Visualization: Create data visualizations and dashboards to communicate findings to stakeholders in a clear and concise manner. • Collaboration: Work closely with cross-functional teams, including engineering, product management, and marketing, to understand their data needs and provide relevant insights. • Reporting: Generate comprehensive reports and presentations that summarize key findings and recommendations.