Senior Manager, Data Science, Bank Operations

Capital One; New York (NY); On-site; USD 250,800 - 286,200; Full time

Benefits offered by this job

Comprehensive health benefits

401(k) with company match

Flexible working hours

Job summary

Capital One is seeking a Data Scientist to join their team in New York. You will leverage your expertise in machine learning and data analysis to help drive innovative solutions, utilizing cutting-edge technologies to assist customers in enhancing their financial lives.

The ideal candidate should have a quantitative degree and experience in big data analytics, open-source programming, and machine learning. The position commands a competitive salary range of $250,800 - $286,200, commensurate with experience and education.

Qualifications

• Bachelor's Degree in a quantitative field plus 7 years of data analytics experience.
• At least 2 years experience with open-source programming languages.
• At least 2 years experience working with machine learning.

Responsibilities

• Partner with cross-functional teams to deliver a product customers love.
• Leverage technologies to reveal insights from data.
• Build machine learning models through all phases of development.

Skills

Open-source programming languages

Machine learning

Relational databases

Data analysis

Python

Education

Bachelor's Degree in a quantitative field

Tools

AWS

Python

Spark

Job description

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision‑making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

The Bank Operations Data Science team builds the machine learning models that help provide core capabilities internally such as Check/Document Reading, Anomaly Identification, Natural Language Processing of Calls, and operational forecasting. We build ground‑breaking industry leading models using emerging technologies like neural networks, LLMs, transformer architectures, and agentic experiences.

Responsibilities

• Partner with a cross‑functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Ideal Candidate

• 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.
• 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.
• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
• 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.

Basic Qualifications

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics; a Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics; a PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics.
• At least 2 years of experience leveraging open‑source programming languages for large‑scale data analysis
• At least 2 years of experience working with machine learning
• At least 2 years of experience utilizing relational databases

Preferred Qualifications

• PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics
• At least 1 year of experience working with AWS
• At least 1 year of experience managing people
• At least 5 years’ experience in Python, Scala, or R for large‑scale data analysis
• At least 5 years’ experience with machine learning

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Salary

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.

McLean, VA: $229,900 - $262,400 for Sr Mgr, Data Science

New York, NY: $250,800 - $286,200 for Sr Mgr, Data Science

Benefits

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.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws.