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# Senior Data Scientist Manufacturing Analytics

- **Company:** Macpower Digital Assets Edge LLC
- **Location:** Sunnyvale, CA, United States
- **Experience:** Expert
- **Salary:** $166,400.0 - $187,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Artificial Neural Networks, Microsoft Azure, Big Data, Cluster Analysis, Data Integrity, Data Systems, Data Visualization, Relational Databases, Apache Hadoop, Python (Programming Language), Machine Learning, NumPy, SciPy, SQL Databases, Data Processing, Google Cloud, Cloud Platform System, Apache Spark, Git, Pandas, Matplotlib, Information Technology, Software Version Control
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-scientist-manufacturing-analytics-sunnyvale-ca--2a0410f5-58a7-44b3-ac4c-12c714e8d03c

## About the Role

Data Science, Manufacturing Analysis, Time Series Analysis, Data Modeling, Machine Learning, Statistical Modeling, Manufacturing, Data Science, Artificial Intelligence (AI), Data Analysis, * 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., * 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.

## 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., * 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.