Bachelor’s degree in Computer Science, Econometrics, Mathematics, Operation Research, Statistics or related disciplines
Minimum 2 years’ work experience in data science with proven track record of leveraging large amount of data to drive significant business impact
Experience in working with cloud-based data platforms and data visualization tools
Experience with MLOps and DevOps solution architecture design is a plus
Exposure to Amazon AWS core services such as S3, EC2, API Gateway, and Lambda is an advantage
Exposure to Generative AI and experience in applying them to real-world use cases is highly desirable
Proficient in Python and well-versed in machine learning algorithms
Strong analytical skills with the ability to recommend suitable algorithms and methodologies for problem-solving and decision-making
Responsibilities:
Translate business challenges into well-defined quantitative models and analytical approaches
Design and prototype advanced analytics and machine learning solutions, including Generative AI applications, to address business needs
Provide analytics support and advise on model selection based on data availability, technology stack, and business context
Collaborate with cross-functional teams to integrate AI-driven models into production systems, ensuring scalability, reliability, and measurable impact
Contribute to the development of AI capabilities to enhance decision-making, automate workflows, and improve operational efficiency
(Candidates with more experience will be considered as Data Scientist.)
