Sr. Principal Data Scientist

Key Skills

A/B Testing, AWS, Azure, Data Mining, Java Programming, JavaScript, Machine learning techniques, Minor Ports, Natural Language Processing (NLP), Python Programming, SPARK Programming, SQL, Statistical modeling

Job Description

We are hiring a Senior Principal Data Scientist who will design and develop new quantitative models that will analyze and classify data to optimize the OneTrust privacy and security programs. 

Your Mission

Use large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.   

• Set the vision for developing complex analytics, data classification and NLP technologies
• Bring technical rigor and have ability to take ownership by crafting and driving the vision forward
• Mine and analyze data from company databases to drive optimization and improvement of product development
• Develop statistical models and simulations to measure and optimize privacy and security risk models for predictive analytics
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop custom data models and algorithms to apply to data sets
• Use predictive modeling to increase and optimize customer experiences, revenue generation, and other business outcomes
• Develop company A/B testing framework and test model quality
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Work with stakeholders throughout the organization to identify opportunities for driving new business solutions

You Are

Adept at using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. Possess a proven ability to drive business results with their data-based insights. Comfortable working with a wide range of stakeholders and functional teams. Passionate about discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Your Experience Includes

• PhD or Master’s Degree in a quantitative discipline (e.g. statistics, mathematics, financial engineering)
• 12+ years of relevant experience in designing quantitative models to assess business risks and/or data classification modeling
• Experience using statistical computer languages: R, Python, SQL, etc.
• Knowledge and/or experience with several languages: Java, JavaScript, etc.
• Experience with Azure, AWS or similar cloud computing environment
• Expertise with machine learning, data mining, and (robust) statistics
• Strong understanding of data classification, sensitivity, PII, and personal data modeling techniques
• Experience in designing data pipelines and products for real world applications
• Experience with modern/emerging scalable computing platforms and languages (e.g. Spark)

Extra Awesome

• A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
• An inclination to solve problems systematically via infrastructure and automation
• Flexibility with changing requirements in an evolving and fast-paced environment
• Driven to learn and master new technologies and techniques