Principal Data Scientist (Research & Applied)

Key Skills

C++, CNNs, Dataproc, Google BigQuery, Jupyter Notebook, Keras software library, ONNX, Python Programming, PyTorch, R Programming, TensorFlow, Transfer Learning, Transformer

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:

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.

Job Responsibilities:

• 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.

• Ability to thrive in a team environment and adapt to quickly changing priorities.

• 7+ years of directly related experience.

• Experience using R, python and/or C/ C++

• 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

Preferred Qualifications:

• Experience in Deep Learning techniques preferred, e.g. CNN, Transformer, transfer learning, RNN.

• Publications or open-source contributions.

• Patents and publications in data science field

• Experience using R, python and/or C/ C++ with pytorch, tensorflow, keras, ONNX, sklearn

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. 

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.

​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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