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Capital One Senior Associate Data Scientist - Servicing Intelligence 
United States, Virginia, Arlington 
972860438

Yesterday
Center 1 (19052), United States of America, McLean, Virginia Senior Associate, Data Scientist - Servicing Intelligence


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.