Sr Director, Machine Learning Science

CoreLogic - San Diego, CA

Full-time - Senior

San Diego, CA

1,001-5,000 employees

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Sr. Director of Machine Learning and Data Science at CoreLogic will lead a team of Machine Learning Scientists and Data Scientists, collaborating closely with the Engineering and Technology group. This role focuses on managing the design, development, and production of machine learning and statistical modeling solutions, while also providing scientific leadership and mentoring to junior team members. The position is hybrid-remote and involves significant contributions to product strategy and analytics solutions that enhance the property industry.

Responsibilities

• Manage the design, development, and production of machine learning, statistical modeling, and overall company analytics solutions.
• Act as a data science partner to product management and software engineering to define product strategy, roadmaps, and value propositions of AI solutions.
• Provide direction and leadership related to the selection and development of tools and methods for evaluating results.
• Apply deep learning technologies to enable computers to visualize, learn, and respond to complex situations.
• Adapt machine learning to areas such as virtual reality, augmented reality, and robotics to enhance user experiences.
• Manage and direct data science resources in alignment with corporate goals and objectives.
• Participate in company-wide product strategy, design, and development initiatives.
• Serve as the technical leader of the Data Science team, providing scientific leadership and mentoring to junior members.
• Provide pre-sales and post-sales analytic support for partners, prospects, and clients.
• Analyze model performance and present findings to partners and clients.
• Understand business requirements and formulate solutions to address them.
• Oversee quality assurance and analysis of large datasets from partners and clients.
• Create appropriate datasets for model building and select predictive features from raw data.
• Recommend and select the most appropriate analytics techniques for specific problems.
• Create model reports for client review and documentation.
• Perform and oversee pattern recognition model creation and training using various algorithms and techniques.
• Publish white papers on risk management methods and solutions and present at industry conferences.

Requirements

• PhD in Machine Learning, Mathematics, Computer Science, Statistics, Physics, or a closely related field plus ten years of experience in machine learning techniques and data mining, or a Master's Degree with 15 years of experience.
• Expertise in multiple analytic development tools, statistical tools, and programming languages such as Python, R, Java, Scala, and Perl.
• Experience with cloud services (e.g., AWS or GCP) for data manipulation and computing.
• Advanced knowledge in predictive modeling, statistical analysis, and related disciplines.
• Understanding of relational data mining principles and managing data science teams.
• Experience managing multiple key initiatives and projects with complex inter-dependencies.
• Ability to formulate business problems and design analytic approaches.
• Experience in the US or international mortgage industry, including fraud, default, and delinquency.

Benefits

• Competitive salary
• Comprehensive benefits package
• Professional growth opportunities
• Diversity and inclusion initiatives