Senior Machine Learning Scientist

CoreLogic - Dallas, TX

Full-time - Senior

Dallas, TX

1,001-5,000 employees

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

About the position

The Senior Machine Learning Scientist at CoreLogic plays a pivotal role in the Data Science & Analytics organization, which is recognized as a leading Center of Excellence in the housing and insurance industry. This position focuses on applying advanced statistical analyses, econometric modeling, and machine learning techniques to derive actionable insights that drive the global real estate economy. The role involves collaborating with various business communities to identify problems, develop solutions, and communicate findings effectively to stakeholders, thereby contributing to the innovation and transformation of the property ecosystem.

Responsibilities

• Research and identify problems, anticipate effects across business communities, and implement customized solutions.
• Conduct complex statistical analyses and complete studies of real estate and mortgage-related data.
• Utilize econometric modeling, machine learning, and data mining techniques to discover patterns from complex real estate data.
• Make forecasts and predictions based on modeling and analysis of multiple economic and human factors.
• Prepare and maintain programs and documentation for asset and asset risk models.
• Perform modeling and analysis using various data mining, machine learning, statistical, and mathematical techniques.
• Drive the monitoring and re-engineering of current models and their prototypes as needed.
• Conceive, lead, and manage quantitative and qualitative research projects independently.
• Assess and communicate research results to internal and external stakeholders.
• Understand business requirements and conceptualize analytic solutions to those business problems.
• Troubleshoot, guide others, and drive solutions to a wide variety of highly complex problems.
• Provide pre-sales and post-sales analytic support for partners, prospects, and clients.

Requirements

• Ph.D. or Master of Arts Degree in Data Science, Math, Computer Science, Engineering, Economics or Finance preferred.
• At least 2 years of industry or academic experience in econometric modeling, machine learning techniques, data mining, or statistical modeling for clients on real-world problems.
• Proficiency in the housing market is a plus.
• Experience building models in a cloud environment is a plus.
• Proficiency in at least one of the following programming languages: Python, Java, R, C++, Scala.
• Proficiency with Git for version control and collaborative development workflows.
• Experience with Linux-based terminals, including shell scripting and command-line operations.
• Hands-on experience with Cloud-based platforms - GCP preferred.
• Big data expertise and experience with technologies such as Spark, Hadoop, Hive, etc are a plus.
• Detail-oriented; strong presentation skills, experienced with client interaction.
• Ability to communicate effectively and in a professional manner to key customers.

Nice-to-haves

• Experience with big data technologies such as Spark, Hadoop, Hive.
• Proficiency in cloud environments, particularly GCP.

Benefits

• Competitive salary and benefits package.
• Diverse and inclusive work environment.
• Opportunities for professional growth and creativity.