Senior Associate, Data Scientist

114 5th Ave (22114), United States of America, New York, New York

At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Senior Associate, Data Scientist

As a Data Scientist you will work with modern computing and machine learning technologies to unlock opportunities for everyday people to save money, time and agony in their financial lives. You will work with a cross functional team of engineers and analysts on a wide range of problems. This position will bring the latest in machine learning, graph analytics and computing to the challenges of weaving unstructured data, transaction data and event data to understand small businesses and improve their experience.

Capital One has always been an information-based technology company. We disrupted the credit card industry by individually personalizing every credit card using statistical modeling. This innovation and the passion for data has skyrocketed us to Fortune 200 company and a leader in data-driven decision making. Still founder-led, Capital One helps our customers succeed by bringing ingenuity, simplicity and humanity to banking.

About the role:

- Partner with a multi-disciplinary team of data scientist, software engineers, product managers and designers to develop and improve our products.

- Work with a variety of large complex data including transactions, digital and unstructured data. Solve difficult problems by applying analytical and machine learning techniques such as Graph analytics, Deep learning and Natural Language processing.

- Build and prototype pipelines for all stages of model development: training, evaluation, validation and monitoring

- Comfortable with a broad stack of technologies - Python, AWS, H20, Spark, Tensorflow and more

- Bring definition to un-defined problems and make effective presentation of ideas at multiple levels of stakeholders.

Basic Qualifications:

-Bachelor's Degree plus 2 years of experience in data analytics, or Master's Degree, or PhD

-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:

- Master's Degree or PhD

- Experience working with AWS

- At least 2 years' experience in Python, Scala, or R

- At least 2 years' experience with machine learning

- At least 2 years' experience with SQL

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

Back to top