Data Scientist

As a Data Scientist, you will engage with Digital Innovation initiatives that harness 4th industrial revolution (4IR) technologies. Your responsibilities involve developing advanced analytics tools and machine learning models, to derive and unlock significant business value from data insights. A commitment to continual learning is essential, as is the ability to apply ever-evolving innovative technologies to enhance manufacturing operations and achieve strategic goals.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Collaborate with a global team of data scientists, data engineers, software engineers, and various engineering professionals to innovate data science solutions enhancing productivity and operational metrics.
• Employ techniques from various disciplines, such as mathematics, statistics, machine learning, deep learning, and engineering, to discover insightful patterns.
• Engage in high-impact projects across all manufacturing sectors, formulating data-driven solutions.
• Develop and mature ideas from conception to application, including preparing data, building models, developing user-friendly applications, and integrating with existing systems.
• Analyze diverse scientific data, including sensor logs, imagery, signal types, manufacturing processes, and ERP/MES data, to derive actionable analytics.
• Design, prototype, and implement machine learning models and algorithms targeting specific challenges in Supply Chain, Manufacturing, Inventory Management, and Distribution.
• Possess a solid grasp of business strategy to shape a clear vision for data science initiatives.
• Create, optimize, and apply predictive models to understand or forecast business outcomes.
• Generate and present data visualizations and business insights effectively.
• Develop and program software, often working with vast datasets from various sources, including IoT devices and sensors.
• Interpret significant insights from extensive data sources and articulate findings to product, service, and business leaders to drive product improvements.

Requirements

REQUIRED:

• Bachelor's Degree in Computer Science, Data Science/Analytics, Statistics, Physics, or a closely related field. A Master's Degree is highly desirable.
• A minimum of 3-5 years of relevant industry experience in Analytics/Data Science.
• Strong proficiency in SQL and experience with relational databases.
• Hands-on experience with Big Data platforms and implementing solutions on cloud services like AWS.
• Solid foundation in applied statistics, statistical modeling, and experience with machine learning algorithms.
• Experience with data processing using Hadoop or similar MapReduce paradigms and associated query languages such as Hive or Presto.
• Demonstrated ability to work with structured, semi-structured, and unstructured data sources.
• Proficient in at least one programming language relevant to data science (e.g., Python, R).
• Strong communication, analytical and creative problem-solving skills

PREFERED:

• Experience of developing cutting-edge ML/AI technologies, such as Large Language Model (LLM) and Generative AI.
• Full stack development experience is preferred.
• Knowledge of front-end languages (HTML/CSS, JavaScript and jQuery) and frameworks/libraries (React, Angular, or Vue.js).
• Familiarity with a CI/CD pipeline.
• Experience with containerization technologies, such as Docker, and orchestration with Kubernetes.
• Understanding of session management, and knowledge of security practices.
• Familiarity with code versioning tools, such as Git.
• Understanding of fundamental design principles behind a scalable application.
• Ability to implement automated testing platforms and unit tests.
• Experience with responsive and adaptive design.