Data Scientist, Research and Applied

Key Skills

Aartificial intelligence, AI technology, Analytical and Problem solving, C Programming, C++, CNNs, Data science techniques, Keras software library, Machine learning techniques, ONNX, Python Programming, PyTorch, R Programming, RNNs, Scikit-learn, Statistical modeling, TensorFlow, Transfer Learning, Transformer

Job Description

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:

Join the CoreLogic team working on cutting edge solutions for the industry, with next-gen technology such as cloud native applications, machine learning, artificial intelligence, augmented reality, drones, and more. We are constantly developing innovative solutions that make the real estate ecosystem smarter, more connected and more efficient. 

As a Data Scientist at CoreLogic you’ll innovate within a multi-disciplined team of scientists (hydrologists, meteorologists, wildfire scientists, etc.) to experts in deep learning, machine learning, and geospatial analytics. The ability to learn and create unique, market changing solutions is abundant.

Drive Innovation: Collaborate 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.

• Perform model training and validation using various types of machine learning techniques on unstructured data, including imagery, text and graphs.
• 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
• Develop analytics using Python, PySpark and other big data tools such as AutoML, BigQuery(BQ), BQML, DataPrep and Jupyter Notebook.
• Perform work in a cloud-based environment.
• Present model performance to clients and prospects.
• Provide pre-sales and post-sales analytic support and interact with both internal and external clients and prospects.
• Create model reports for stakeholder review and model documentation.
• Prepare and maintain programs and documentation for analytic models.
• Support deployment of models.
• Conduct defined quantitative and qualitative research projects independently and communicates research results to internal and external stakeholders.

Independence

• Receives general direction and is competent to perform nearly all aspects of the job independently.
• Work may be done without established procedures as required to resolve issues.
• Take a team leadership role in developing and refining an analytics development platform.
• Mentor and train junior colleagues.

Job Qualifications:

• Master’s or higher in artificial intelligence, machine learning, 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.
• 4-8 years of directly related experience.
• Experience in Deep Learning techniques preferred, e.g. CNN, Transformer, transfer learning, RNN.
• Experience using R, python and/or C/ C++ with pytorch, tensorflow, keras, ONNX, sklearn preferred.
• Publications or open source contributions a plus.
• Strong problem solving and analytical ability
• Strong communication skills
• Ability to quickly and efficiently adapt to new concepts
• Demonstrated knowledge of statistical techniques
• Strong working knowledge in multiple analytic development tools, statistical tools, and programming languages
• Demonstrated experience innovating and extracting insights from multiple data types including unstructured data
• Business acumen
• Patents and publications in data science field a plus

Annual Pay Range:

• 106,900 - 144,000 USD

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.