Senior Data Scientist Manufacturing Analytics

Macpower Digital Assets Edge Private Limited

Sunnyvale, CA
5 days ago

$80–$90 Per Hour

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Skills

Amazon Web Services (AWS)unmatched
Apache Hadoopunmatched
Apache Sparkunmatched
Artificial Intelligence (AI)unmatched
Big Dataunmatched
Business Operationsunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Cross-Functionalunmatched
Data Analysisunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Scienceunmatched
Data Setsunmatched
Data Visualization Toolsunmatched
Documentationunmatched
Forecastingunmatched
Gitunmatched
Machine Learningunmatched
Manufacturingunmatched
Manufacturing Analysisunmatched
Manufacturing Operationsunmatched
Metricsunmatched
Microsoft Windows Azureunmatched
Model Validationunmatched
Neural Networksunmatched
Predictive Modelingunmatched
Product Marketingunmatched
Production Systemsunmatched
Python Programming/Scripting Languageunmatched
R Programming Languageunmatched
Relational Databases (RDBMS)unmatched
Reporting Dashboardsunmatched
Requirements Managementunmatched
SQL Databasesunmatched
Source Code/Configuration Management (SCM)unmatched
Statistical Modelingunmatched
Statisticsunmatched
Time Series Analysisunmatched

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.

Numbers & Facts

Location	Sunnyvale, CA
Salary	$80–$90 Per Hour

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