Top Hybrid Data Science Jobs in Washington DC

The Principal Data Scientist - NLP at Capital One will lead a team in developing AI-powered products that revolutionize customer interactions with financial services. Responsibilities include leveraging NLP expertise, building ML and NLP models, and operationalizing them in scalable systems to serve millions of customers.

Manager, Data Science role in Consumer Identity Machine Learning at a Fortune 200 company, leading data-driven decision-making using latest machine learning technologies across billions of customer records. Responsibilities include building ML models, partnering with business teams, and writing software to analyze customer data. Ideal candidate is innovative, creative, technical, and statistically-minded.

Lead the AI Foundations LLM Customization team at Capital One to deliver AI powered products that change customer interactions with their money. Utilize technologies like Pytorch, Hugging Face, AWS Ultraclusters, LangChain, and VectorDBs to extract insights from large volumes of data and focus on Natural Language Processing (NLP) for business-specific applications. Collaborate with cross-functional teams to operationalize NLP models in scalable production systems.

Responsible for leveraging data science background to drive compliance monitoring data analytics initiatives, confirming compliance with ethical standards and regulatory requirements through the use of advanced data analytics techniques.

Hiring Data Scientists to bring predictive modeling to the clinical development ecosystem. Responsibilities include building model pipelines, scaling algorithms, enhancing ML Engineering platforms, and implementing ML Ops. Must be familiar with Python and machine learning techniques.