Remote Industrial Data Scientist - Predictive Analytics

Placements24; Riverton (UT); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Technology stipend for home office

Continuous learning opportunities

Fully remote work

Job summary

Placements24 is seeking a highly skilled Remote Industrial Data Scientist to join its analytics team. The role focuses on leveraging industrial datasets to uncover insights, predict outcomes, and drive efficiency, reliability, and safety across global operations.

You will work remotely, collaborating with engineering and operations to build models and data-driven strategies. The ideal candidate has a strong background in data science, ML, and industrial processes, with the ability to thrive in a

Qualifications

• Master's or Ph.D. in a quantitative field such as Data Science or Industrial Engineering.
• 5+ years as a Data Scientist with emphasis on industrial applications or complex systems.
• Proficiency in Python or R and ML libraries (Pandas, Scikit-learn, TensorFlow).
• Experience with SQL/NoSQL databases and big data technologies (Spark, Hadoop).

Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms to analyze industrial data.
• Identify patterns and anomalies in large datasets to optimize processes and predict failures.
• Design data mining strategies to extract insights from operational and sensor data.
• Collaborate remotely with subject matter experts to define problems and develop data-driven solutions.
• Build and deploy predictive maintenance models and process optimization tools.
• Communicate findings clearly to technical and non-technical audiences via reports and presentations.
• Develop data visualizations and dashboards to track model performance.

Skills

Python

R

ML libraries

Education

Master's or PhD in Data Science/related field

Tools

SQL

NoSQL

Spark

Hadoop

TensorFlow

Pandas/Scikit-learn

Job description

Placements24 is seeking a highly skilled Remote Industrial Data Scientist to join its analytics team. The role focuses on leveraging industrial datasets to uncover insights, predict outcomes, and drive efficiency, reliability, and safety across global operations.

You will work remotely, collaborating with engineering and operations to build models and data-driven strategies. The ideal candidate has a strong background in data science, ML, and industrial processes, with the ability to thrive in a