Data Scientist (1 Year contract)

Posted 9 Days Ago
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Bedok, Bessao, Monts de Lam, Logone Oriental, TCD
In-Office
Mid level
Hardware • Information Technology • Industrial • Automation
The Role
Research and develop LLM, generative AI, agentic AI, machine learning, and data engineering solutions for chemical and process industries. Build RAG systems, knowledge graphs, semantic search, intelligent agents, digital-twin integrations, and scalable production AI applications. Apply AI to predictive maintenance, anomaly detection, process optimization, asset performance, and industrial operations. Develop data pipelines, APIs, and automation while collaborating with engineering, research, software, and business teams.
Summary Generated by Built In

Not just a job, but a career

Yokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries. 

Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.

About the Team
Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.

Job Description:

·       Research and develop innovative LLM, Generative AI, and Agentic AI solutions for chemical and process industry applications

·       Design and build AI-powered applications that leverage plant data, engineering knowledge, maintenance records, and operational documentation to improve decision making

·       Develop and deploy Retrieval-Augmented Generation (RAG) systems, knowledge graphs, and semantic search solutions to enable contextualized engineering insights

·       Build and orchestrate intelligent agents capable of interacting with enterprise systems, industrial databases, digital twins, and engineering tools to automate workflows and support operations

·       Develop scalable, reliable, and secure AI solutions, ensuring effective deployment, monitoring, maintenance, and continuous improvement in production environments

·       Apply machine learning, deep learning, multimodal AI, and advanced analytics techniques to solve challenges related to predictive maintenance, anomaly detection, process optimization, and asset performance

·       Build data engineering pipelines for acquiring, cleaning, enriching, and contextualizing structured and unstructured industrial data

·       Collaborate with researchers, software engineers, process engineers, and business stakeholders globally to design, evaluate, and deliver AI solutions from concept through production deployment

·       Automate engineering and business processes using AI, APIs, scripting, and open-source technologies to improve efficiency, scalability, and knowledge management

·       Stay current with advancements in LLMs, Agentic AI, machine learning, industrial AI, and emerging technologies, continuously contributing new ideas and innovations to the organization

Job Requirements:

·      Masters/Degree in Engineering/Sciences

·      3-6 years of relevant experience

·      Experience with knowledge graphs, semantic search, industrial digital twins, or engineering knowledge management systems.

·      Experience applying AI to plant operations, sustainability, energy optimization, asset performance management, or process safety use cases.

·      Familiarity with Responsible AI, AI governance, cybersecurity, and human-in-the-loop decision-support systems.

·      Experience in real-world data science projects, internships, hackathons, and personal projects

·      Expertise in Python programming and using libraries for data processing, visualization, and model development, including pandas, numpy, scikit-learn, matplotlib, and seaborn

·      Proficient in API concepts and libraries, and experienced in utilizing them for testing and deployment, leveraging frameworks such as Flask, Django, or FastAPI

·      Familiar with databases (e.g., PostgreSQL, Minio) and SQL for data storage and retrieval

By responding to Yokogawa’s advertisement, consent is considered given to Yokogawa to collect the required personal data for the purpose of recruitment with expectation that Yokogawa will protect personal data with security safeguards that are reasonable and appropriate to the sensitivity of the personal data, to protect it from unauthorized access, use or disclosure and complies with applicable regulatory requirements with respect to the retention of personal data.

We regret to inform that only shortlisted candidates will be notified. 

Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture.  We will actively recruit, develop, and promote people from a variety of backgrounds whodiffer in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status.  We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances.  Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.

 

Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture.  We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status.  We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances.  Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.

Are you being referred to one of our roles? If so, ask your connection at Yokogawa
about our Employee Referral process!

Skills Required

  • Master's degree or degree in Engineering or Sciences
  • 3-6 years of relevant experience
  • Experience with knowledge graphs, semantic search, industrial digital twins, or engineering knowledge management systems
  • Experience applying AI to plant operations, sustainability, energy optimization, asset performance management, or process safety use cases
  • Familiarity with Responsible AI, AI governance, cybersecurity, and human-in-the-loop decision-support systems
  • Experience in real-world data science projects, internships, hackathons, and personal projects
  • Expertise in Python and data-processing, visualization, and model-development libraries including pandas, NumPy, scikit-learn, Matplotlib, and Seaborn
  • Proficiency in API concepts and libraries, including Flask, Django, or FastAPI, for testing and deployment
  • Familiarity with databases such as PostgreSQL and MinIO, plus SQL for data storage and retrieval
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The Company
18,313 Employees
Year Founded: 1915

What We Do

Yokogawa Electric Corporation provides industrial automation, control, measurement, and information solutions for customers across energy, materials, life sciences, and other industries. Its offerings include distributed control systems, production-control software, pressure transmitters, process analyzers, programmable controllers, industrial recorders, and high-precision measuring instruments. The company also develops industrial IoT hardware, software, and cloud solutions, supported by engineering, project-management, and maintenance services for plant operators.

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