Senior Assistant Manager, Artificial Intelligence Office

National University Polyclinics; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading health system in Singapore is seeking a Robotics Data Scientist to drive innovation in robotic systems through data analytics and machine learning. The successful candidate will analyze performance data, develop algorithms for optimization, and collaborate with multidisciplinary teams to enhance robotic technologies. This role requires a strong background in data science and robotics principles, with a commitment to utilizing advanced techniques to solve complex challenges.

Qualifications

• Proven experience in data science and machine learning, especially in robotics.
• Excellent problem-solving skills and ability to work with large datasets.
• Strong communication and teamwork abilities.

Responsibilities

• Analyze data from robotic systems for performance insights.
• Develop predictive models to optimize robotic operations.
• Collaborate with engineers for data collection and experimentation.

Skills

Data Science

Machine Learning

Programming in Python

Robotics Principles

Problem Solving

Data Analysis

Collaboration Skills

Education

Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering

Tools

TensorFlow

PyTorch

scikit-learn

Gazebo

ROS

Job description

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Senior Assistant Manager, Artificial Intelligence Office

Job ID: 7498

Job Function: Administration

Institution: National University Health System

Overview

We are looking for a skilled Robotics Data Scientist to join our dynamic team. As a Robotics Data Scientist, you will play a key role in leveraging data analytics and machine learning techniques to drive innovation and optimization in robotic systems. You will work at the intersection of robotics, data science, and artificial intelligence to solve complex challenges and enhance the capabilities of robotic technologies.

Job Responsibilities

• Analyze data generated by robotic systems to gain insights into performance, efficiency, and reliability.
• Develop predictive models and algorithms to optimize robotic operations, including motion planning, path optimization, and task scheduling.
• Implement machine learning algorithms for perception and decision-making in robotic applications, such as object recognition, localization, and navigation.
• Collaborate with robotics engineers and domain experts to define data collection strategies and experimental protocols.
• Design and conduct experiments to validate and refine data-driven models and algorithms for real-world robotic environments.
• Develop tools and frameworks for data visualization, monitoring, and analysis in robotics applications.
• Stay updated with the latest advancements in data science, machine learning, and robotics technology, and incorporate relevant techniques into research and development projects.

Requirements

• Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or related field.
• Proven experience in data science and machine learning, with a focus on applications in robotics or autonomous systems.
• Proficiency in programming languages such as Python, R, or MATLAB, as well as libraries and frameworks for data analysis and machine learning (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of robotics principles, including kinematics, dynamics, sensors, and actuators, fleet management.
• Experience with data preprocessing, feature engineering, and exploratory data analysis techniques.
• Familiarity with robotics simulation tools (e.g., Gazebo, V-REP), robotic middleware (e.g., ROS) & Fleet management tools.
• Excellent problem-solving skills and ability to work with large and complex datasets.
• Strong communication and collaboration skills, with the ability to work effectively in multidisciplinary teams.
• Possess confidence to resonate with senior management leadership – internal and external stakeholders
• Ability to multi-task and work under tight timelines
• Good analytical and organization skills
• Excellent communication, problem solving, presentation, negotiation and interpersonal skill