Job description

There is an opportunity to make a difference where it matters. We are looking for visionaries who are keen to make a positive impact on the way the world lives.

At FlexoSense, the future is yours to determine, create and enjoy. Join us as the pioneering team on a game-changing journey. Our vision is to create a positive global impact by enabling healthy longevity for everyone with our sensor technologies.

Data Scientist

Job Responsibilities

1. Interact closely with research project team which includes academics, clinicians and industry partners.

2. Conceptualise, develop, integrate and maintain in-house AI and Cognitive solution.

3. Apply state-of-the-art AI algorithms, explore alternatives and build working prototypes. You will also deploy systems and scale the solution.

4. Create models, train and leverage machine learning APIs to build solution with embedded intelligence in use-cases like Chatbots.

5. Follow Agile/Lean/Scrum software methodologies for development. Certified ScrumMaster (CSM) will be an advantage.

6. To research and be updated on the state of the art on AI, data engineering and data science practices. Be plugged into the wider community on these key areas.

Job Requirements

1. Minimum Master’s degree in AI, Machine Learning, Statistics, Computing, Biostatistics, Information Technology, Social Sciences or related fields.

2. Experience preferably in

- Open source DevOps tools and software-as-a-service solutions

  • Development and implementation of AI and machine learning algorithms
  • AI or deep learning work at a commercial company or research laboratory

Experience in building deep learning models with popular frameworks e.g. TensorFlow. Knowledge of common machine learning techniques and key parameters that affect performance.

3. Preferably 2-3 years hands-on data skills/experience in developing applications and with various data analysis and visualisation tools. Experience with R, Python or Java. Know how to combine technical visualisation libraries with more user-friendly tools like Tableau. Ability to apply good design principles to visualisation, dashboard and reports.

4. Some experience with track record of processing and extracting value from large data sets. i.e. Data analysis and discovery with new insights. Understand relevant statistical measures (development and evaluation data sets, confidence intervals, significance of error measurements, etc)

5. Data warehousing/RDBMS experience with SQL Server, Oracle, MySQL, etc.

6. Demonstration of self-learning through hackathons, MOOC or open user-group and conference participation. Self-motivation with side projects, Kaggle competitions, etc.

7. Proficient in running deep learning modules on Cloud platforms (e.g. AWS, Azure or Google Cloud). Able to use Virtual Machine instances on these platforms. Experience in test automation, test-driven development and cloud-based implantation will be an advantage.

8. Strong system-building and management skills and keen interest in working with emerging technologies and frameworks.

9. Good awareness of security considerations/best practices for web-facing applications. Having a strong interest in learning new security technologies and tools are essential.

10. Strong interest in coding beyond data analysis, e.g., GUI, UI/UX with design thinking methodology, will be a bonus.

11. Strong communication skills and early adopter and growth mindset is highly regarded.

Ability to present and explain difficult concepts clearly and concisely in plain English.

About FlexoSense

FlexoSense is a startup with co-founders from the National University of Singapore. Our flexible sensors enable new experiences in markets like healthcare, lifestyle, sports, industrial and more.

We champion those with bold ideas and with a ‘can do’ spirit in creating a difference for our customers. We want to spark something remarkable in bringing together people committed to a common goal.

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.