Machine Learning Data Scientist

Digital Prospectors; Pittsburgh (Allegheny County); On-site; USD 110,000 - 150,000; Full time

Job summary

A recruitment firm is seeking a Machine Learning Data Scientist for a 6-month contract in Pittsburgh, PA. The ideal candidate will have experience in developing machine learning models for forecasting and anomaly detection, proficiency in Python, and familiarity with SCADA systems. This on-site role requires direct employment authorization in the United States with no sponsorship available.

Qualifications

• Experience working with SCADA systems or industrial data historians.
• Solid understanding of time-series analytics and signal processing.
• Experience with cloud platforms and containerization (AWS/Azure/GCP, Docker).

Responsibilities

• Develop ML models for time-series forecasting and anomaly detection.
• Build data pipelines for SCADA/IIoT data ingestion and processing.
• Perform feature engineering and signal analysis on time-series data.
• Deploy models in production using APIs, microservices, and MLOps best practices.
• Collaborate with data engineers and domain experts to improve data quality and model performance.

Skills

Python

Time-series analytics

Machine learning

Data science

Signal processing

SCADA data handling

Tools

Docker

Cloud platforms (AWS/Azure/GCP)

APIs / microservices

Job description

Direct message the job poster from Digital Prospectors

Principal Technical Recruiter @ Digital Prospectors | Connecting Clients and Candidates

Position: Machine Learning Data Scientist

Location: Pittsburg, PA (On-Site)

Length: 6 Month Contract to Start

* Please no agencies. Direct employees currently authorized to work in the United States – no sponsorship available.*

Job Description

We are looking for a Data Scientist/Engineer with Machine Learning and strong skills in Python, time-series modeling, and SCADA/industrial data. In this role, you will build and deploy ML models for forecasting, anomaly detection, and predictive maintenance using high-frequency sensor and operational data.

Essential Duties and Responsibilities

• Develop ML models for time-series forecasting and anomaly detection
• Build data pipelines for SCADA/IIoT data ingestion and processing
• Perform feature engineering and signal analysis on time-series data
• Deploy models in production using APIs, microservices, and MLOps best practices
• Collaborate with data engineers and domain experts to improve data quality and model performance

Qualifications

• Experience working with SCADA systems or industrial data historians
• Solid understanding of time-series analytics and signal processing
• Experience with cloud platforms and containerization (AWS/Azure/GCP, Docker)

POST-OFFER BACKGROUND CHECK IS REQUIRED.

Digital Prospectors is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Digital Prospectors affirms the right of all individuals to equal opportunity and prohibits any form of discrimination or harassment.

Seniority level: Mid-Senior level

Employment type: Contract

Job function: Information Technology

Industries: Natural Gas Distribution and Energy Technology

Job #18135

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