This is a Job Description for a Senior Data Scientist in Oxford, Mississippi

Summary: 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.

 Duties & Responsibilities: Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text, and graphs. Support deployment of models. Perform work in a cloud-based Linux 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 client review and model documentation. 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.

  Requirements and Qualifications[]{#Hlk142289191}[]{#Hlk142304825}:  Master's Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience. 2+ years of related modeling building experience. Experience in Deep Learning techniques, e.g., Transformers, LLM, VLM, vision transformers, transfer learning, LORA, PEFT, CNN, or NLP. Experience using python and/or C/ C++ with pytorch, jax, Scikit-learn, mlflow, hugging face. Experience working in a cloud-based Linux environment. Experience using distributed computing a plus, e.g., DDP, FSDP, deep speed. Publications or open-source contributions a plus. Strong problem solving and analytical ability. Strong communication skills. Ability to adapt to new concepts quickly and efficiently.  Ability to thrive in a team environment. Demonstrated knowledge of statistical techniques. Strong working knowledge of multiple analytic development tools, statistical tools, and programming languages. Demonstrated experience innovating and extracting insights from multiple data types including unstructured data.

Equal Opportunity/Affirmative Action Employer.