Remote Industrial Data Scientist

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

About the Role

Our client is seeking a highly skilled and innovative Remote Industrial Data Scientist to join their advanced analytics team. This position is critical for leveraging vast industrial datasets to uncover insights, predict operational outcomes, and drive significant improvements in efficiency, reliability, and safety across our client's global operations. You will work remotely, collaborating with engineering and operations teams to build sophisticated models, develop data-driven strategies, and implement solutions that have a tangible impact. If you possess a strong background in data science, machine learning, and industrial processes, coupled with the ability to thrive in a fully remote setting, this opportunity offers a unique challenge and a chance to shape the future of industrial intelligence.

Key Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms to analyze industrial data.
• Identify patterns, trends, and anomalies in large, complex datasets to optimize processes and predict failures.
• Design and execute data mining strategies to extract valuable insights from operational and sensor data.
• Collaborate virtually with subject matter experts to define problems and develop data-driven solutions.
• Build and deploy predictive maintenance models, process optimization algorithms, and performance forecasting tools.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences through presentations and reports.
• Develop data visualizations and dashboards to effectively communicate insights and track model performance.
• Stay current with the latest advancements in data science, machine learning, and their applications in industrial settings.
• Ensure data integrity, quality, and security throughout the analysis lifecycle.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Industrial Engineering, or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist, with a significant focus on industrial applications or complex systems.
• Expertise in programming languages such as Python or R, and proficiency with relevant data science libraries (e.g., Pandas, Scikit-learn, TensorFlow).
• Strong experience with SQL and NoSQL databases, as well as big data technologies (e.g., Spark, Hadoop).
• Proven experience in developing and deploying machine learning models (e.g., regression, classification, time-series forecasting, anomaly detection).
• Excellent analytical, problem-solving, and critical-thinking skills.
• Exceptional remote communication, collaboration, and presentation skills.
• Ability to work independently and manage projects effectively in a fully remote environment.
• Domain knowledge in industrial processes, manufacturing, or operations is highly desirable.

Benefits

Our client offers a highly competitive salary, performance-based bonuses, and a comprehensive benefits package, including health, retirement, and wellness programs. This fully remote position provides exceptional flexibility and a technology stipend for home office setup. Employees have access to continuous learning opportunities and career advancement within a leading global organization, ideal for professionals based anywhere, including the Northern Cape region near Upington .