Remote Senior Customer Data Scientist

Description:

• H2O.ai is seeking a Senior Customer Data Scientist 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, scorers/optimization loss functions/metrics to improve training performance for customer use cases.
• The candidate will design and run training sessions for customers in data science concepts and using H2O products, catering to audiences with varying data science skills.
• The position requires helping customers understand data science nuances, expert settings of H2O Driverless AI, and strategies for experiment tuning to improve model performance.
• The role also includes explaining model performance, interpretability, and post-deployment monitoring concepts to ensure informed business decisions on model predictions.
• Participation in the development of ML solutions and AI applications for internal use is expected, contributing to the advancement of the technology stack.

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 (supervised/unsupervised, clustering, decision tree learning, neural networks) and their practical applications is necessary.
• Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests) for practical applications are required.
• Experience in statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Trees, text mining, and social network analysis is needed.
• Proficiency in visualizing and presenting exploratory data analysis (EDA) to stakeholders using H2O Wave or other data visualization libraries in Python and R, or using Tableau/PowerBi is a plus.
• Understanding of post-production model monitoring concepts and tools like H2O ML Ops or MLFlow is advantageous.
• In-depth understanding of machine learning algorithms and experience applying Gen AI/ML to solve real-world problems, including deployment of end-to-end ML pipelines, is essential.
• Interest in Generative AI and Large Language Models, including prompt engineering and fine-tuning, is required.
• Strong problem-solving skills and the ability to work independently and collaboratively are necessary.
• Excellent communication and presentation skills to convey complex technical concepts to non-technical stakeholders are essential.

Benefits:

• H2O.ai offers a market-leading total rewards package.
• The company promotes a remote-friendly culture and a flexible working environment.
• Employees will be part of a world-class team and have opportunities for career growth.
• H2O.ai is committed to creating a diverse and inclusive culture, ensuring all qualified applicants receive consideration for employment without regard to legally protected statuses.