Data Science Executive

Key Skills

Advanced Analytics, Analytical and Problem solving, Apache Hadoop, Apache Hive, Cloud computing, Data science techniques, Effective communication skills, Google Cloud Platform (GCP), Java Programming, Leadership, Machine learning techniques, Perl Programming, Python Programming, R Programming, Scala Programming, Spark Core, Statistics

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:

We are searching for a Data Science Executive with expertise and passion around housing and mortgage finance to advance CoreLogic’s position as a leading provider of gold standard data, analytics and platforms, enabling real estate professionals, financial institutions, insurance carriers, government agencies and other housing market participants to help people make their dream of homeownership a reality. Reporting to CoreLogic’s Chief Scientist, this role will be a leader on the Chief Scientist’s senior team, playing an integral leadership role in creating new AI/ ML models on cross-discipline assets and build analytic solutions with unique proprietary data assets. The solutions this function delivers uniquely enrich our data with insightful intelligence, which allows us to deliver comprehensive information to participants across the global housing economy through our integrated digital solutions. This role also plays an important role externally with expertise in housing and mortgage finance, serving as a thought partner to our clients and other industry partners.

Job Responsibilities:

• Spearhead science-backed innovation for the Company

• Provide thought leadership and industry expertise in the housing and mortgage finance sector
• Innovate and incubate new core science-based capabilities including AI/ ML, Computer Vision
• Lead and inspire a high-performing team
• Partner with product leaders to build analytic solutions with unique proprietary data assets that enrich our data with insightful intelligence
• Expand our Artificial Intelligence and Machine Learning capabilities and platforms focused on driving new analytic solutions to the market.
• Partner with clients and industry experts to serve as a thought leader in property data and housing and mortgage finance, contributing back to the research community through academic publications
• Provide leadership with predictive modeling, clustering, forecasting models, deep learning and other advanced statistical techniques to solve problems.

Job Qualifications:

• Master’s or higher in machine learning, a hard science, math, statistics, an engineering field. PhD preferred.

• Viewed as an industry expert in the global housing economy with 10+ years of experience at reputable companies in that space preferred
• 10+ years of experience in data science, data engineering, advanced analytics, machine learning, statistics preferred
• Experience leading and inspiring high-performing and innovative teams
• Fluent in multiple analytic development tools, statistical tools, and programming languages, such as Python, R, Java, Scala, Perl, etc.
• Experience building models in Google Cloud Platform
• Must have big data expertise, such as Spark, Hadoop, Hive, etc.
• Extensive knowledge of statistics, data science and machine learning with a strong understanding of the behavior of residential real estate markets.
• Proven track record of translating business needs into technical solutions
• Experience with Advanced Analytics, Software-driven Automation and Data Engineering with programming skills to retrieve, analyze and process data, and build machine learning models from the ground up
• Strong people leadership experience including talent selection, engagement, growth, and retention
• Excellent verbal and written communication skills
• High P&L acumen with proven appreciation for meeting financial commitments and delivering on time, on budget high value solutions.
• High level of accountability takes ownership of problems and sees them through to resolution; high energy thrives in fast-paced, high-rate-of-change setting; ability to balance competing priorities in a very dynamic/fast paced environment
• Client-focused approach with strong interpersonal skills

Annual Pay Range: 183,900 - 250,000 USD