The Challenge

As a Principal Data Scientist at Onetrust, you will play a pivotal role in driving our data-driven strategies and pioneering new methodologies that will bolster our Trust Platform. You will be involved in developing and implementing advanced algorithms and models that will directly shape our products, services, and decision-making processes.

Your Mission

As a Principal Data Scientist, your mission will involve collaborating closely with cross-functional teams, including data engineers, MLOps engineers, and business stakeholders. You will participate in structuring data pipelines, ensuring high-quality data collection, implementing and deploying machine learning models, and working on end-to-end development of AI-driven solutions. Your role will include fostering a culture of data-driven decision-making and ensuring the successful integration of data science into our business strategies.

• Lead and Drive Data Initiatives: Take the lead in identifying, developing, and implementing advanced machine learning algorithms, particularly in NLP, to extract insights from structured and unstructured data sources.
• Collaborate with Cross-functional Teams: Work closely with data engineers to optimize data collection procedures and MLOps engineers to deploy and monitor models effectively in production environments.
• Develop and Deploy Models: Build, test, and deploy predictive models while maintaining and improving existing models to enhance performance and accuracy.
• Contribute to Product Development: Collaborate with product teams to integrate data-driven insights into product development and enhance user experience.
• Conduct Research and Analysis: Continuously research and evaluate the latest advancements in data science and NLP, applying this knowledge to improve existing methodologies and systems.
• Mentor Junior Team Members: Provide guidance and mentorship to junior data scientists and contribute to the overall growth of the data science team.
• Ensure Data Quality, privacy and Security: Implement best practices for data integrity, security, and privacy, ensuring compliance with relevant regulations.
• Communicate Findings: Present findings and insights to stakeholders in a clear, understandable manner, assisting in strategic decision-making processes.

You Are

A self-learner who is open to new technologies, processes, or techniques to improve your ability to deliver high-quality software. Someone who asks questions to clarify gaps in understanding.

Your Experience Includes

• Minimum of 7 years of experience in data science or a related field.
• Proven expertise in applying machine learning techniques, with a strong focus on NLP.
• Proficiency in programming languages such as Python, R, and relevant libraries and frameworks (e.g., Sklearn, TensorFlow, PyTorch).
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.