H2O.ai is seeking a Senior Customer Data Scientist based in Singapore to deliver data science and machine learning professional services to customers.
The role involves working closely with cross-functional teams to gather requirements, preprocess, and analyze data to develop data-driven solutions.
Responsibilities include building custom data models, transformation, and optimization metrics to improve training performance for customer use cases.
The candidate will design and run training sessions for customers on data science concepts and H2O products, catering to varying skill levels.
The position requires helping customers understand data science nuances, model performance, interpretability, and post-deployment monitoring to ensure informed business decisions.
Participation in the development of ML solutions and AI applications for internal use is also expected.
Requirements:
A minimum of 5 years of hands-on experience in data science, machine learning, and AI is required.
Experience with H2O products, Python, and R for solving machine learning problems is preferred.
Knowledge of various machine learning techniques, including supervised/unsupervised learning, clustering, decision trees, and neural networks, is essential.
Familiarity with advanced statistical techniques and concepts for practical applications is necessary.
Experience in statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, and text mining is required.
Proficiency in visualizing and presenting exploratory data analysis (EDA) to stakeholders using H2O Wave or other data visualization libraries is a plus.
Understanding of post-production model monitoring concepts and tools like H2O ML Ops or MLFlow is advantageous.
In-depth knowledge of machine learning algorithms and experience in applying Gen AI/ML to solve real-world problems, including end-to-end ML pipeline deployment, is crucial.
An interest in Generative AI and Large Language Models, including prompt engineering and fine-tuning, is desired.
Strong problem-solving skills and the ability to work independently and collaboratively are essential.
Excellent communication and presentation skills are required to convey complex technical concepts to non-technical stakeholders.
Benefits:
H2O.ai offers a market-leading total rewards package.
The company promotes a remote-friendly culture and a flexible working environment.
Employees have the opportunity to be part of a world-class team.
There are opportunities for career growth within the organization.
