Remote Industrial Data Scientist

Placements24; Klerksdorp; Híbrido; ZAR 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Salary package

Medical insurance

PTO & holidays

Remote work

Dev budget

Data science tools

Remote culture

Retirement plan

Home office stipend

Industrial tech exposure

Descripción de la vacante

Placements24 is seeking a highly skilled Remote Industrial Data Scientist to join a globally distributed team. You will leverage advanced analytics, ML, and time-series methods to extract insights from industrial datasets, optimize processes, and support remote decision-making for manufacturing clients.

You will collaborate with engineers and domain experts, design experiments, build data pipelines, and communicate findings to technical and non-technical stakeholders.

Formación

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Industrial Engineering, or related quantitative field.
• Minimum 5 years of professional Data Scientist experience with industrial/manufacturing data.
• Proficiency in Python and R with relevant ML libraries.
• Strong SQL and database management skills.
• Experience with time-series analysis, predictive modeling and anomaly detection.
• Familiarity with Spark/Hadoop and cloud platforms (AWS/Azure/GCP) is a plus.
• Excellent communication and collaboration for remote work.
• Legally eligible to work remotely in South Africa.

Responsabilidades

• Develop and implement advanced statistical models and ML algorithms for large-scale industrial data.
• Identify trends and anomalies to predict equipment failures and optimize processes.
• Design experiments to test hypotheses and validate data-driven solutions.
• Build and maintain data pipelines for ingestion, cleaning, and transformation of data from diverse sources.
• Collaborate with engineers, software developers, and domain experts to define data requirements.
• Create clear data visualizations and reports for diverse audiences.

Conocimientos

Time-series analysis

Predictive modeling

Anomaly detection

Communication

Independent work

Educación

Master's or PhD in Data Science/Statistics/CS/Industrial Engineering

Herramientas

Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch)

R

SQL

Spark/Hadoop

AWS/Azure/GCP

Descripción del empleo

About the Role

Our client, a forward-thinking industrial technology firm, is seeking a highly skilled and motivated Remote Industrial Data Scientist to join their globally distributed team. This is a fully remote position, offering the flexibility to work from anywhere within South Africa. You will be instrumental in leveraging advanced data analytics, machine learning, and statistical modeling to extract actionable insights from complex industrial datasets. Your work will directly contribute to optimizing manufacturing processes, predicting equipment failures, improving product quality, and driving operational efficiencies across our client’s diverse industrial applications. We are looking for a candidate with a passion for data, a strong understanding of industrial processes, and the ability to translate complex findings into clear, concise recommendations for technical and non-technical stakeholders. This role is perfect for an independent and results-oriented data scientist who thrives in a remote work environment and is eager to make a significant impact on industrial innovation.

Key Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms to analyze large-scale industrial data (e.g., sensor data, production logs, quality metrics).
• Identify trends, patterns, and anomalies within industrial datasets to predict equipment failures, optimize process parameters, and improve product quality.
• Design and conduct experiments to test hypotheses and validate data-driven solutions.
• Build and maintain data pipelines for ingesting, cleaning, and transforming industrial data from various sources.
• Collaborate remotely with cross-functional teams, including industrial engineers, software developers, and domain experts, to define data requirements and interpret findings.
• Develop clear and compelling data visualizations and reports to communicate complex analytical results to diverse audiences.
• Stay current with the latest advancements in data science, machine learning, and their applications in the industrial sector.
• Contribute to the development of data-driven products and services for our client's industrial clients.
• Ensure data integrity, accuracy, and adherence to best practices in data management and analysis.
• Mentor junior data analysts or engineers as the team grows.

Requirements

• A Master's or Ph.D. degree in Data Science, Statistics, Computer Science, Industrial Engineering, or a related quantitative field.
• A minimum of 5 years of professional experience as a Data Scientist, with a significant focus on industrial or manufacturing data.
• Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and R.
• Strong experience with SQL and database management.
• Demonstrated experience with time-series analysis, predictive modeling, and anomaly detection techniques.
• Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Excellent understanding of industrial processes and IoT data is highly desirable.
• Strong analytical, problem-solving, and critical-thinking skills.
• Exceptional communication and collaboration skills, essential for a remote role.
• Proven ability to work independently and manage multiple projects effectively.
• Must be legally eligible to work remotely in South Africa .

Benefits

• Highly competitive salary package, commensurate with experience and qualifications.
• Comprehensive medical, dental, and vision insurance.
• Generous paid time off and company holidays.
• Opportunity to work fully remotely from anywhere in South Africa .
• Annual budget for professional development, including conferences and online courses.
• Access to state-of-the‑art data science tools and platforms.
• Collaborative and innovative remote work culture.
• Retirement savings plan with employer matching.
• Home office stipend to ensure a productive remote setup.
• Exposure to cutting‑edge industrial technology and problem‑solving.