Capital One Senior Associate Data Science - Applied Generative AI Calls Documents 

United States, Virginia, Arlington 

330082166

Center 1 (19052), United States of America, McLean, Virginia Senior Associate , Data Science - Applied Generative AI for Calls and Documents

In this role, you will:

• Harness the power of transformer model architectures to automatically identify emerging customer pain points in millions of call transcripts.

• Fine-tune large language models (LLMs) and large multi-modal models (LMMs) for extractive and abstractive tasks to search for complex evidence statements in unstructured, multi-page, documents images.

• Manage large scale data annotation projects by guiding frontline agents to curate high quality datasets, delivering model improvements by proposing, managing, and monitoring improvements to data collection processes.

• Work on a team of data scientists to build practical machine learning solutions through all phases of development, including designing, training, evaluating, and monitoring models.

• Communicate frequently with business stakeholders, including everything from brainstorming verbiage to include in a prompt engineering experiment to ascertaining which model evaluation metric best aligns data science outputs with business objectives.

• Collaborate with machine learning engineers to develop, deploy, troubleshoot, optimize, and maintain model pipelines with activities spanning from building reusable Kubeflow components for LLM fine-tuning to conversing about the cost impacts of model architecture choices.

• Leverage a broad stack of technologies including Pytorch, Hugging Face, LangChain, LLaMA-Factory, GitHub, AWS and more, to automate workflows using huge volumes of text audio, and vision data
  

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.

• Passionate about the applied use of data science - when you see a new generative model take the top spot on a HuggingFace model leaderboard, you are just as excited about how it can improve a business process as you are about the underlying technical innovations.

• You have an ownership mindset for all upstream and downstream impacts to model pipelines. You like to question what imperfections exist in a model benchmark, taking self-initiative to fix data quality issues in evaluation data.

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 1 year of experience working with unstructured data for either natural language processing, computer vision or speech applications

• At least 1 years of experience fine-tuning and deploying transformer based models using deep learning libraries and tools such as Pytorch and HuggingFace

• At least 2 years of experience with object oriented Python via experiences in data science and software engineering

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.