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:

The CoreLogic Data Science & Analytics organization is one of the leading Centers of Excellence (CoE) in the housing and insurance industry. The vision of the Data Science & Analytics organization is to apply unique expertise to create actionable insights that drive the global real estate economy. With a focus on science, technology, analytics and research, the CoE is your trusted advisor for collaboration, transformation and innovation to power the property ecosystem.

Encompassing a broad scope of scientific expertise, the team’s diverse background and skills create the opportunity for Data Science & Analytics to be the go-to source for problem-solving and strategic consultation. This hybrid-remote team is skilled in helping our clients unlock the power of science and analytics to make better-informed decisions. The Data Science & Analytics Center of Excellence is the group to make innovation happen.

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 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.

Performs 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, 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

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. Analyze the present model performance to partners, clients and prospects.

Job Qualifications:

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.

Team player, willing to assist and jump into a project at any point as needed

Detail-oriented; strong presentation skills, experienced with client interaction.

Ability to communicate effectively and in a professional manner to key customers and explain business needs to technical personnel.

Solid interpersonal skills. Must be able to communicate clearly to partners, prospects, clients and colleagues verbally and in written form.

Able to manage multiple, complex projects simultaneously.

Expertise in formulating business problems and designing analytic approaches.

Able to effectively present analytic insights and modeling techniques internally and externally

Annual Pay Range:

CoreLogic benefits information can be found here: http://www.yourcorebenefits.com/.  Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from any posted range. 

CoreLogic's Diversity Commitment:​

CoreLogic is fully committed to employing a diverse workforce and creating an inclusive work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. ​ We are better together when we support and recognize our differences.  ​

EOE AA M/F/Veteran/Disability:​

CoreLogic is an Equal Opportunity/Affirmative Action employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. CoreLogic maintains a Drug-Free Workplace. ​

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Please apply on our website for consideration.​

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