CoreLogic
Director, Data Science REQ14982
CoreLogic, Oxford, Mississippi, United States, 38655
CoreLogic
Director, Data Science REQ14982
Oxford ,
Mississippi
Apply Now
This is a job for a Director, Data Science position with a company located in the Oxford, MS area.Job Summary: Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM.Responsibilities: Lead, mentor, and develop a team of data scientists and machine learning engineers. Foster a collaborative, inclusive, and innovative team culture. Conduct regular performance reviews and provide constructive feedback. Identify skill gaps and implement training programs to enhance team capabilities. Oversee the end-to-end lifecycle of AI projects, from conception to deployment. Ensure projects are completed on time, within scope, and within budget. Coordinate with cross-functional teams to align AI initiatives with business objectives. Manage project risks and develop mitigation strategies. Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs. Support and oversee the deployment of models in a cloud-based Linux environment. Ensure the quality and performance of AI models presented to clients and prospects. Stay updated with the latest advancements in AI and incorporate best practices into the team's workflow. Present model performance and insights to clients and prospects. Provide pre-sales and post-sales analytic support. Build and maintain strong relationships with both internal and external stakeholders. Develop and refine the analytics development platform. Identify opportunities for innovation and lead strategic initiatives to enhance the company's AI capabilities. Align team goals with the broader organizational strategy and drive execution. 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.Qualifications: Master's Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience. 5+ years of related modeling and building experience. Demonstrated experience leading and mentoring junior data scientists. 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, huggingface. 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 quickly and efficiently adapt to new concepts. 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 Employer -- minorities/females/veteran/ other individuals with disabilities/sexual orientation/gender identity.
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Director, Data Science REQ14982
Oxford ,
Mississippi
Apply Now
This is a job for a Director, Data Science position with a company located in the Oxford, MS area.Job Summary: Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM.Responsibilities: Lead, mentor, and develop a team of data scientists and machine learning engineers. Foster a collaborative, inclusive, and innovative team culture. Conduct regular performance reviews and provide constructive feedback. Identify skill gaps and implement training programs to enhance team capabilities. Oversee the end-to-end lifecycle of AI projects, from conception to deployment. Ensure projects are completed on time, within scope, and within budget. Coordinate with cross-functional teams to align AI initiatives with business objectives. Manage project risks and develop mitigation strategies. Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs. Support and oversee the deployment of models in a cloud-based Linux environment. Ensure the quality and performance of AI models presented to clients and prospects. Stay updated with the latest advancements in AI and incorporate best practices into the team's workflow. Present model performance and insights to clients and prospects. Provide pre-sales and post-sales analytic support. Build and maintain strong relationships with both internal and external stakeholders. Develop and refine the analytics development platform. Identify opportunities for innovation and lead strategic initiatives to enhance the company's AI capabilities. Align team goals with the broader organizational strategy and drive execution. 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.Qualifications: Master's Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience. 5+ years of related modeling and building experience. Demonstrated experience leading and mentoring junior data scientists. 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, huggingface. 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 quickly and efficiently adapt to new concepts. 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 Employer -- minorities/females/veteran/ other individuals with disabilities/sexual orientation/gender identity.
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