Remote Senior Data Scientist - Predictive Maintenance

Placements24; Gauteng; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Health insurance

Remote-friendly

Home office budget

Job summary

Placements24 is seeking a Senior Data Scientist to join a remote-first team focused on industrial IoT. You will develop and deploy predictive maintenance models using time-series data from sensors and systems, impacting downtime and maintenance efficiency.

The ideal candidate has 6+ years in data science with strong ML, statistical modeling, and data engineering skills, plus experience in cloud platforms and IoT data. This role offers flexibility and a high-impact data-driven environment.

Qualifications

• Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 6 years of professional experience in data science and machine learning, with a focus on time-series analysis and predictive modeling.
• Proficiency in Python or R, and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.
• Strong SQL and database skills.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus, plus IoT data experience is advantageous.

Responsibilities

• Develop, train, and deploy ML models for predictive maintenance, anomaly detection, and performance optimization using time-series data.
• Clean, process, and transform large datasets from IoT sensors, logs, and maintenance records.
• Collaborate with software engineers to integrate predictive models into production systems and IoT platforms.
• Design experiments to test model performance, ensuring robustness and accuracy.
• Visualize data and model results to communicate findings to technical and non-technical stakeholders.
• Stay updated on ML advancements and contribute to data infrastructure and best practices.

Skills

Python

R

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

Education

Master's or PhD in Data Science/Statistics/CS/Math

Tools

SQL

AWS

Azure

GCP

Job description

About the Role

Our client, a progressive technology firm specializing in IoT solutions for the industrial sector, is seeking a highly skilled Senior Data Scientist to join their fully remote team. This role is central to developing and deploying advanced predictive maintenance models for heavy machinery used in industries like mining and manufacturing. You will leverage large datasets from sensors and operational systems to build machine learning algorithms that forecast equipment failures, optimize maintenance schedules, and reduce costly downtime. The ideal candidate possesses a strong background in statistical modeling, machine learning, and data engineering, with a passion for solving complex problems and driving operational efficiency through data-driven insights. This is a remote-first position, offering significant flexibility and the opportunity to work with cutting-edge technologies from anywhere.

Key Responsibilities

• Develop, train, and deploy machine learning models for predictive maintenance, anomaly detection, and performance optimization using time-series data.
• Clean, process, and transform large, complex datasets from various sources (IoT sensors, operational logs, maintenance records).
• Collaborate with software engineers and domain experts to integrate predictive models into production systems and IoT platforms.
• Design and conduct experiments to test and validate model performance, ensuring robustness and accuracy.
• Visualize data and model results to communicate findings and actionable insights to technical and non-technical stakeholders.
• Stay abreast of the latest advancements in machine learning, data science, and statistical modeling techniques.
• Contribute to the development of data infrastructure and best practices for data management and analysis.
• Mentor junior data scientists and contribute to the team's technical growth.
• Identify new opportunities for leveraging data to improve product offerings and customer value.

Requirements

• Master's or PhD degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 6 years of professional experience in data science and machine learning, with a focus on time-series analysis and predictive modeling.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
• Strong experience with SQL and database technologies for data extraction and manipulation.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data science/ML services is a plus.
• Experience with IoT data and related technologies is highly advantageous.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex models and findings effectively.
• Proven ability to work independently and manage projects effectively in a remote environment.

Benefits

• This fully remote role comes with a highly competitive salary, comprehensive health insurance, and a retirement savings plan.
• We offer a flexible work schedule and a generous budget for home office equipment and professional development.
• Our client is committed to fostering a collaborative and innovative work culture, providing ample opportunities for learning and growth through online courses, workshops, and access to cutting-edge research.
• Be part of a team that is transforming industrial operations through intelligent data solutions, working with a diverse and talented group of professionals.
• This is an excellent opportunity to advance your career in data science with a leading-edge company, enjoying the freedom of remote work.