CoreLogic · 2 days ago
Director, Data Science
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AnalyticsGovernment
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Responsibilities
Lead, mentor, and develop a team of data scientists and machine learning engineers.
Oversee the end-to-end lifecycle of AI projects, from conception to deployment.
Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
Present model performance and insights to clients and prospects.
Develop and refine the analytics development platform.
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.
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.
Qualification
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Required
Master’s Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience.
5+ years of related modeling 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.
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.
Preferred
Experience using distributed computing a plus, e.g. DDP, FSDP, deep speed.
Publications or open-source contributions a plus.
Benefits
Health Insurance
Company
CoreLogic
CoreLogic provides financial and property information, analytics and services for businesses and the government.
Funding
Current Stage
Public CompanyTotal Funding
$74.65MKey Investors
TA AssociatesBoulder Ventures
2021-02-04Acquired· by Stone Point Capital ($6B)
2004-12-31Private Equity· $50M
2003-01-10IPO· nyse:CLGX
Recent News
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2024-06-05
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2024-05-27
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