Senior Data Scientist

Strength in Trust 

OneTrust is the trust intelligence cloud platform organizations use to transform trust from an abstract concept into a measurable competitive advantage. Organizations globally use OneTrust to enable the responsible use of data while protecting the privacy rights of individuals, implement and report on their cyber security program, make their social impact goals a reality, and create a speak up culture of trust. Over 14,000 customers use OneTrust's technology, including half of the Global 2,000. OneTrust currently ranks #24 on the Forbes Cloud 100 list of top private cloud companies in the world and employs over 2,000 people in regions across North America, South America, Asia, Europe, and Australia.

The Challenge

As a Senior 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  

• PhD or Master’s Degree in a quantitative discipline (e.g. statistics, mathematics, financial engineering, computer science)
• 5+ years of relevant experience in designing quantitative models to assess business risks and/or data classification modeling 
• 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.

 

For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits.

Salary Range$135,000—$202,500 USD

Where we Work

OneTrust embraces a hybrid working model. Our Working@ OneTrust initiative is our way of clarifying where we hire, how we work together, and where we’re located in that hybrid model.  

The underlying “why” for Working@ is that we are intentional about the culture that we want to create together. That includes bringing teams together, in-person, throughout the year to collaborate, build connections, learn from each other, and celebrate our wins to