Part-Time Applied Data Scientist

Part-Time Applied Data Scientist This role is located at the Capital One Cambridge office, and you must be enrolled as a student at MIT to apply. As a part-time associate at Capital One, you'll be part of a high-performing team that's embracing the latest in computing cloud technologies to unlock opportunities that help everyday people save money and improve their financial lives. You'll help our customers solve their financial services challenge using groundbreaking techniques. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. Role / team focus areas could include participating in analytical, risk management, machine learning, deep learning, GenAI initiatives across the enterprise. We'd love to find someone who is... Intellectually curious. You ask why, you explore, and you are excited to imagine and create new ideas by inventing self-adaptive analytical, predictive, generative power or by tapping into unstructured data sources. You love turning data for insights into behaviors, intent and sentiment. A builder. You are passionate about delivering new and better products, experiences, and capabilities to our customers and have a deep sense of ownership for your craft. An innovator. You love trying new things, new combinations of tools, techniques, and engineering approaches even if you sometimes fail. A Communicator. You seek to connect with teammates and business partners to share technical ideas that resonate with audience needs across verbal and written channels. Key Role Details Participation in the part-time work arrangement requires that you are located in the continental United States Designed to flex seamlessly around your coursework with a 10- to 20-hour weekly commitment, this role allows you to support our core data teams by supplementing existing projects to drive real business outcomes. On any given day, you'll be: Data Cleaning & Processing: Querying, cleaning, and preprocessing large structured and unstructured datasets to ensure data quality and readiness for downstream analysis. Feature Engineering: Writing, testing, and validating code to extract compelling analytical features from raw bureau records and transactional data streams. Executing ML Pipelines: Running and monitoring existing machine learning workflows and tooling to generate routine and/or ad hoc model diagnostics and track system performance. Insights Generation: Aggregating data findings from internal and external sources to support the baseline summaries that inform credit policy and pilot programs. Insights Investigation: Performing qualitative and quantitative data investigations and sensitivity analyses to identify trends, anomalies, and potential data risks. Pod Collaboration: Supporting the day-to-day tactical data, analytical, and modeling needs of a cross-functional team alongside senior Data Scientists and Business Analysts. Basic Qualifications: Currently pursuing a Bachelor's degree in a quantitative field (mathematics, science, statistics, engineering) At least 6 months of experience or academic work using open source programming languages At least 6 months of experience or academic work using machine learning, AI applications (Claude Code, Codex, Gemini AI Suite) Current student at Massachusetts Institute of Technology. Preferred Qualification: Students with scholarships, in honors programs, or with departmental distinctions 1+ year experience with Python and GenAI tools 1+ year experience or academic work in statistics, mathematics, computer science, machine learning, GenAI, and data science 1+ year Experience or academic work with large scale relational or unstructured databases At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $116,600 - $133,100 for FS PT Data Science Undergraduate Associate Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website ( . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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 View phone number on click.appcast.io or via email at View email address on click.appcast.io . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to View email address on click.appcast.io Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Capital One