Principal Data Scientist (Machine Learning)

* Conduct research to identify and anticipate problems, explore best practice alternatives, prepare presentations, drive solutions, perform testing, gain consensus from various business communities, and implement customized solutions.* Perform complex statistical analyses and comprehensive studies of real estate and mortgage-related data.* Utilize machine learning and data mining techniques to discover patterns in complex residential property data.* Generate forecasts and predictions based on modeling and analysis of multiple economic and human factors.* Develop and maintain programs and documentation for asset and asset risk models.* Apply various data mining, machine learning, statistical, and mathematical techniques for modeling and analysis.* Monitor and enhance existing models and prototypes, improving core models and aligning with group research objectives.* Independently lead and manage quantitative and qualitative research projects.* Evaluate and communicate research results to internal and external stakeholders.* Understand business requirements and conceptualize analytical solutions for addressing business problems.* Lead cross-functional teams to research, define, and implement analytic solutions within different business functions.* Troubleshoot complex problems, provide guidance to others, and drive effective solutions.* Offer pre-sales and post-sales analytic support to partners, prospects, and clients.* Analyze model performance for partners, clients, and prospects.* Master's Degree in Computer Science, Data Science, Machine Learning, Economics, Mathematics, Statistics, Physics, or a related field.* Minimum of 7 years of industry or academic experience in machine learning techniques, data mining, statistical modeling, and/or pattern recognition model building for real-world problems.* Experience with Google Cloud Platform (GCP) or equivalent.* Proficiency in at least one programming language such as Python or R.* Experience developing LLM based analytical products* Strong expertise in big data technologies, such as Spark, Hadoop, Hive, etc.* Team player with the flexibility to contribute to projects as needed.* Detail-oriented with excellent presentation skills and experience in client interaction. Ability to effectively communicate business needs to technical personnel.* Solid interpersonal skills for clear verbal and written communication with partners, prospects, clients, and colleagues.* Proven ability to manage multiple complex projects simultaneously.* Expertise in formulating business problems and designing analytical approaches.* Effective presentation of analytic insights and modeling techniques internally and externally.* Recognized as a technical expert, significant contributor, and strong leader within the company and the industry.* Ph.D. in Computer Science, Data Science, Machine Learning, Economics, Mathematics, Statistics, Physics, or a related field.* Experience building imagery or text models.Cotality is fully committed to a 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.

Please navigate to "location" and filter on desired country under the "locations". ex: United States, Canada, United Kingdom, India# We have some exciting news to share with you, CoreLogic will now be called Cotality! Our new brand reflects our commitment to delivering innovative solutions and building deep relationships.Speaking of fresh starts—if you’re thinking about making a change, and you’re someone who wants to work for a growing company with a people-first culture which has earned us Great Place to Work recognitions in six countries, apply today!Cotality is an Equal Opportunity 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. Cotality will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.If you need reasonable accommodation to complete the on-line application, please contact Talent Acquisition at careers@cotality.com or 1-866-224-2086.Please include the following information in your email:The specific accommodation you’re requesting to complete an employment application the position you are applying for (job title and/or job number)careers@cotality.com.

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