Senior Data Scientist – Industry 4.0 / AI & IoT

ThinkDigits Inc; United States; Hybrid; USD 100,000 - 130,000; Full time

Job summary

A technology firm in the United States is seeking a Senior Data Scientist to develop intelligent manufacturing solutions using AI/ML, focusing on Industry 4.0 and IoT. Responsibilities include developing machine learning models for predictive maintenance and defect detection and working with real-time streaming data. Ideal candidates should have a degree in Data Science or a related field, along with experience in manufacturing and relevant technical skills like Python and AWS. The position offers a hybrid working environment.

Qualifications

• Degree in Data Science, Computer Science, or Engineering.
• Experience in applied Data Science, particularly in manufacturing or Industry 4.0.

Responsibilities

• Develop machine learning models for anomaly detection and predictive maintenance.
• Build computer vision models for defect detection.
• Work with real-time IoT streaming data.
• Develop Digital Twin solutions.

Skills

Machine Learning

Data Science

Computer Vision

IoT

Python

Cloud (AWS/Azure)

Education

Degree in Data Science / Computer Science / Engineering

Tools

TensorFlow

PyTorch

OpenCV

Docker

Kubernetes

AWS

Azure

Kafka

Spark

Job description

Location United States (Hybrid / On-site at Manufacturing Plants as needed)

Company ThinkDigits, Inc.

About the Role

We are seeking a Senior Data Scientist with expertise in Industry 4.0, AI/ML, Computer Vision, and IoT streaming data to build intelligent manufacturing solutions within the SmartFaktory platform.

Key Responsibilities

• Develop ML models: Anomaly Detection, Predictive Maintenance, Predictive Quality, Forecasting, Inventory Optimization
• Build Computer Vision models for defect detection and safety
• Work with real‑time IoT/streaming data (PLCs, SCADA, MES)
• Develop Digital Twin and Industry 4.0 solutions
• Deploy scalable ML pipelines (Docker, Kubernetes, Cloud)
• Collaborate with plant teams and leadership

Required Qualifications

• Degree in Data Science / Computer Science / Engineering
• Experience in applied Data Science
• Experience in manufacturing / Industry 4.0

Technical Skills

• Python, ML frameworks (TensorFlow, PyTorch)
• Time‑series forecasting
• Computer Vision (OpenCV, YOLO)
• Streaming: Kafka, Spark
• Cloud: AWS / Azure
• Industrial systems: MES, SCADA, MQTT

Preferred

• Digital Twin experience
• Causal AI / Reinforcement Learning
• Automotive / Supply Chain domain

Soft Skills

• Problem solving
• Communication
• Leadership

Apply / Connect

[e-mail]

www.thinkdigits.com