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Capital One Manager Data Scientist - Generative AI Analysis Tools United States, Virginia, Arlington 833117181
In this role, you will:
Partner with a cross-functional team of data scientists, software engineers, business analysts and product managers to deliver a product customers love
Fine-tune and customize large language models across text and vision modalities for use in financial data analysis
Manage large scale data annotation projects by guiding business analysts to curate high quality datasets, delivering model improvements by driving improvements to data collection processes
Collaborate with software engineers to develop, deploy, optimize, and maintain data and model pipelines
Leverage a broad stack of technologies — Python, PyTorch, Hugging Face, Dask, LangChain, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. You have a good understanding of generative AI concepts, including language models, neutral networks, and transformers.
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know how to build customer-focused experiences that address their needs and deliver ethical business value.
Basic Qualifications:
Currently has, or is in the process of obtaining a Bachelor’s Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date
At least 2 years’ experience in open source programming languages for large scale data analysis
At least 2 years’ experience with machine learning
At least 2 years’ experience with relational databases
Preferred Qualifications:
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) or non-STEM but AI-adjacent field plus 3 years of experience in data analytics
At least 2 years’ experience fine-tuning and deploying transformer based models using deep learning libraries and tools such as Pytorch and HuggingFace
At least 2 years’ experience working with unstructured data for natural language processing, computer vision or speech applications
At least 4 years’ experience in Python for large scale data analysis and software engineering
At least 4 years’ experience with SQL
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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