Principal, Data Scientist

Job Summary:

Join our team of over 5,000 employees globally, who provide the insights through data and next generation technology that help millions of people find, buy and protect the homes they love. From the beginning, CoreLogic has been driven by a single purpose - to innovate and create solutions that solve our clients' toughest challenges in the housing market. CoreLogic is the trusted source for property intelligence, with deep knowledge of powerful economic, social, and environmental forces that promote healthy housing markets and thriving communities.

We apply that same dedication to creating a diverse and inclusive work culture that inspires innovation and bold thinking. A place where individuals can work on small teams, feel valued, and directly impact the real estate industry. We believe our team members are the best in the business, and we will continue to recruit, retain, develop and reward our most important asset - our people!

Job Description:

Design, develop, and deliver solutions that will enhance and add value to new and existing data assets for broad industry application and aligned with business and market requirements. Develop algorithmic and rule-based models and analytic capabilities based on rules engine, machine learning, mathematical modeling, pattern recognition, and data mining techniques.Leverage big data tools and programming frameworks to ensure that the data gathered from data pipelines can be applied on data science models and the model outputs are ready to scale as needed. Performs data analysis, feature engineering and model development using a variety of analytic techniques, tools, and programming languages to provide business insights and analytic products.

• Create data derivation and linkage through algorithm and/or data rules.
• Create and select predictive features from raw data.
• Create model reports with data visualization for stakeholder review and model documentation.
• Perform pattern recognition model creation and training using various types of algorithms and machine learning modeling techniques for unknown or less well-defined - an unknown problem, solve new problems (e.g., clustering, logistic regression, deep learning, support vector machines, boosting trees, supervised and unsupervised models).
• Develop analytic models using Python, PySpark and other big data tools such as AutoML, BigQuery(BQ), BQML, DataPrep and Jupyter Notebook.
• Build programs that control the flow of data, model processing and output generation, and integration to the rest of the analytics platform using big data tools such as AirFlow, DataFlow, and DBT.
• Perform complex data analysis on large volumes of property and consumer data and present model performance to stakeholders.
• Be in charge of the entire data science development lifecycle (research, design, experimentation, development. deployment, monitoring, and maintenance).
• QA and analyze large amounts of data to create appropriate data sets for model building.
• Provide model deployment support.
• Prepare and maintain programs and documentation for analytic models.
• Conduct defined quantitative and qualitative research projects independently and communicates research results to internal and external stakeholders.
• Act as a consultant to EDG's data management, automation, and data technology teams.
• Lead and provide technical leadership on data science project with other data scientists, ML engineers, data engineer, and data analysts.

Job Qualifications:

• Master's or higher in artificial intelligence, data science, computer science, math, statistics or engineering field, or equivalent work experience.
• Ability to thrive in a team environment and adapt to quickly changing priorities.
• 10+ years of directly related experience.
• Strong problem solving and analytical ability.
• Strong communication skills.
• Ability to quickly and efficiently adapt to new concepts.
• Demonstrated knowledge of statistical techniques.
• Data mining/data analysis experience.
• Experience working with large amounts of data in a high throughput environment.
• Experience working with Python, PySpark, and BigQuery.
• Strong working knowledge in multiple analytic development tools, statistical tools, and big data tools.
• Working knowledge in cloud platform (e.g. AWS, GCP), cloud-based sandbox environment and analytics sandbox and libraries.
• Ability to work collaborative with cross-function teams and business units.
• Demonstrated general business acumen; experience working in a real estate and mortgage related data industry a plus.
• Ability to lead small team in technical projects.
• Patents and publications in data science field a plus.

CoreLogic's Diversity Commitment:

CoreLogic is fully committed to employing a diverseworkforce and creating an inclusive workenvironment that embraces everyone's uniquecontributions, experiences and values. We offer anempowered work environment that encouragescreativity, initiative and professional growth andprovides 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 Actionemployer committed to attracting and retaining thebest-qualified people available, without regard torace, color, religion, national origin, gender, sexualorientation, gender identity, age, disability or statusas a veteran of the Armed Forces, or any other basisprotected by federal, state or local law. CoreLogicmaintains a Drug-Free Workplace.

Please apply on our website for consideration.

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