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Urgent! Senior Data Scientist Manufacturing Analytics Job Opening In Sunnyvale California – Now Hiring Macpower Digital Assets Edge Private Limited

Senior Data Scientist Manufacturing Analytics



Job description

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.


  • 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.





Required Skill Profession

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