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Capital One Senior Associate Data Scientist - Servicing Intelligence United States, Virginia, Arlington 972860438
In this role, you will:
Leverage Natural Language Processing (NLP), Computer Vision, Speech, large language models (LLMs), large multi-modal models (LMMs) and traditional modeling approaches like GBMs for advanced customer servicing applications.
Utilize a broad stack of technologies like Python, Pytorch, HuggingFace, LangChain, Spark, Kubernetes, Docker, AWS Cloud, Github etc., for model development and deployment.
Analyze and derive insights from both structured and unstructured data sources.
Collaborate on a team of data scientists and engineers to build machine learning models through all phases of development, from design through training, evaluation, validation, implementation, and maintenance
Flex your communication skills by interacting with a variety of internal business stakeholders to define innovative data science solutions
Grasp underlying business processes, getting into the details by guiding annotators to curate high quality, consistent training datasets
The Ideal Candidate is:
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
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.
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.
Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve.
Basic Qualifications:
Currently has, or is in the process of obtaining a Bachelor’s Degree plus 3 years of experience in data analytics, or currently has, or is in the process of obtaining Master’s Degree 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 1 year of experience in open source programming languages for large scale data analysis
At least 1 year of experience with machine learning
At least 1 year of experience with relational databases
Preferred Qualifications:
At least 2 years of experience in Python with a blend of experiences in data science and software engineering
At least 2 years of experience with machine learning
At least 1 years of experience working with unstructured data for natural language processing, computer vision, or speech applications
At least 1 years of experience fine-tuning and deploying transformer based models
At least 1 years of experience working with deep learning libraries and tools, such as Pytorch and HuggingFace
At least 1 year of experience working with AWS
New York City (Hybrid On-Site): $138,500 - $158,100 for Sr Assoc, Data Science
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
. 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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