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Senior Data Scientist - Manufacturing Analytics

Senior Data Scientist - Manufacturing Analytics

Macpower Digital Assets EdgeSunnyvale, CA, United States
13 hours ago
Job type
  • Full-time
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 :

  • pplied 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.
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