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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Scientist (Machine Learning) - **Company:** CoreLogic, Inc. - **Location:** San Diego, CA, United States - **Experience:** Expert - **Salary:** $148,800.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Big Data, Data Mining, Apache Hadoop, Apache Hive, Python (Programming Language), Machine Learning, Pattern Recognition, Presentation Programs, Large Language Models, Apache Spark, Information Technology - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=47b9f0e9c93225de ## About the Role * 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. Preferred Qualifications: * Ph.D. in Computer Science, Data Science, Machine Learning, Economics, Mathematics, Statistics, Physics, or a related field. * Experience building imagery or text models. ## Description We are seeking a highly skilled hybrid-remot e Principal Machine Learning Scientist with expertise in machine learning, data mining, and statistical modeling to join our dynamic team. As a Principal ML Scientist, you will play a crucial role in identifying and anticipating problems, exploring best practice alternatives, and implementing customized solutions. If you have a passion for analyzing complex data, generating forecasts, and driving innovative solutions, this is the perfect opportunity for you., * 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base](https://www.wearedevelopers.com/videos/6-anomaly-detection-using-unsupervised-machine-learning-for-detecting-anomalies-in-customer-base) - [Data Mining Accessibility](https://www.wearedevelopers.com/videos/802-data-mining-accessibility) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)