Principal Data Scientist

Key Skills

Analytical and Problem solving, Apache Hadoop, Apache Hive, C++, Python Programming, R Programming, Spark-SQL

Job Description

At CoreLogic, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. CoreLogic is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.

CoreLogic is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At CoreLogic, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.

Job Description:

As a hybrid-remote Principal Data Scientist at CoreLogic you’ll join a multi-disciplined team of scientists and experts in deep learning, machine learning, and geospatial analytics. The ability to learn and create unique, market changing solutions is abundant. You’ll gain an opportunity to drive innovation by collaborating directly with CoreLogic business leaders to understand the challenges that frame our industry today and work with our team to develop and nurture the innovative solutions that will shape the future of our space.

Job Responsibilities:

• Research and identify problems, anticipate effects across business communities, research best practice alternatives, prepare presentations, drive solutions, test to confirm, gain consensus from a broad business community, and implement customized solutions.

• Conduct complex statistical analyses and complete studies of real estate and mortgage related data.

• Apply machine learning and data mining techniques to discover patterns from complex residential property 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.

• Performs modeling and analysis using various data mining, machine learning, statistical, and mathematical techniques.

• Drive the monitoring and re-engineering current models and their prototypes as needed, to improve and enhance core models and group research objectives.

• 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.

• Regularly leads cross functional teams to research, define, and implement analytic solutions within a broad business function.

• Troubleshoot, guide others, and drive solutions on a wide variety of highly complex problems.

• Provide pre-sales and post-sales analytic support for partners, prospects, and clients. Analyze the present model performance for partners, clients and prospects.

Job Qualifications:

• Master’s degree in Economics, Mathematics, Computer Science, Data Science, Machine Learning, Statistics, Physics or related field.

• At least 8 years of industry or academic experience in machine learning techniques, data mining, statistical modeling and/or pattern recognition model building for clients on real world problems.

• Experience building models in a cloud environment.