Senior Data Scientist – Manufacturing Analytics

Macpower Digital Assets Edge Private Limited

🇺🇸 United States

On-site

Senior

5 days ago

$80 – $90 / hour

Data Modeling
AI
Machine Learning
Matplotlib
Seaborn
Python
Pandas
NumPy
SciPy
SQL
Data Visualization
Hadoop
AWS
GCP
Azure
Git

5 days ago

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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.

Senior Data Scientist – Manufacturing Analytics · Macpower Digital Assets Edge Private Limited

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