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Data Scientist

Position Type Direct Contract
No. of opening(s) 1
Location Singapore
Posted 26-November-2021
Are you looking to work as a Data Scientist and expand your horizon while working on future-state projects?

We have an excellent opportunity for you with our esteemed client, working as the data science / engineering lead alongside with Artificial Intelligence (AI) scientists to support in Data / Artificial Intelligence project initiatives.
Skill-set Requirement
  • PhD/Bachelors in Computer Science, Computer Engineering, Statistics, Applied Mathematics, Data Science and Analytics ;
  • At least 5 years' experience in Data Engineering or Data Science;
  • Strong technical knowledge in Artificial Intelligence ( AI ) , specifically in Computer Vision ( CV ), Natural Language Processing, Recommendation System ML and/or Synthetic AI;
  • Good hands on experience solving business problems using Natural Language Processing ( NLP ) , Machine Learning ( ML ) , Statistical & Predictive Modelling;
  • Good understanding of the latest research and technologies in AI for production, including deployment to mobile handsets and IoT devices;
  • Strong coding experience in programming languages such as Python, C++
  • Hands-on experience with one or more deep learning frameworks, e.g., TensorFlow, Torch
  • Experience in using and adapting algorithms from machine learning libraries such as scikit-learn, numpy / scipy, pandas, NLTK &/or Tensorflow;
  • Must be familiar with big data streaming and visualization tools such as Apache Nifi, Storm, Spark, Airflow, Kibana, Tableau;
  • Able to apply scientific thinking to solving business problems through analytics and data;
  • Possess excellent written, verbal and presentation skills.

Desirable Skills
  • Familiar with Cloud Computing platforms or Machine Learning (ML) Cloud Services, such as AWS SageMaker, Google ML Engine, and MS Azure Machine Learning Studio;
Job Responsibilities
  • Work together with product owners, engineering teams, industry partners to translate and formulate business requirement into technical specifications alongside with Artificial Intelligence (AI) scientists to support in Data / AI areas;
  • Involved in the end-to-end product development lifecycle from concept, design, prototyping, acceptance testing, data curation, delivery, operationalisation, industry proliferation, to product end-of-life;
  • Technical assessment on the maturity, viability, and suitability of AI research, technologies and trends that are relevant to the industry;
  • Participate in agile secure software development processes and best practices, documentation of user requirements and software codes during the software development lifecycle;
  • Develop software components based on microservices-based architecture;
  • Propose, implement, and validate algorithms, ensuring functional and non-functional requirements such as transparency, fairness, scalability, security, integration complexity and operational costs;
  • Technical engagement and collaboration with research institutes and institutes of higher learning and conduct the knowledge transfer to industry partners.
  • Keep abreast of latest developments in the fields of Data Science / Artificial Intelligence technologies and capacities.
Role Compatibility
Architecture, Business Intelligence, Data Warehousing, Database Management, Infrastructure/Network Management, IT Strategy, Research
Level Compatibility

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Company Details

Sciente International Pte Ltd
Sciente International Pte Ltd

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