Senior Manager Data Science - Transaction Intelligence

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! Fastforward 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 datadriven decisionmaking.

As a Data Scientist at Capital One youll be part of a team thats 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 time and agony in their financial lives.

Team Description

The Transaction Intelligence team leverages transaction data to power atscale realtime experiences that bring simplicity clarity and confidence to our customers. We use Python Spark Snowflake Databricks and Kubeflow as our tech stack and build models and tools that serve our customer base as well as our analytical community at Capital One.

Role Description

In this role you will:

• Partner with a crossfunctional team of data scientists software engineers and product managers to deliver a product customers love

• Leverage a broad stack of technologies Python Conda AWS Spark Databricks Snowflake 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

• Explore and apply the latest advances in machine learning such as transformer modeling architectures to realworld problems facing the financial services industry

• Lead and mentor a team of data scientists help develop talent and ensure your team is performing at its very best

The Ideal Candidate is:

• A Leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo.

• Innovative. You can apply the latest developments in machine learning to realworld problems facing the financial services industry.

• Technical. Youre comfortable with a broad stack of technologies.

• Creative. You are a builder and deployer of machine learning models with experience in all phases of development from design through training evaluation validation and implementation.

• Influential. You are passionate about Data Science and ML and you can bring along a team with excellent storytelling skills. You communicate clearly and effectively to share your findings with nontechnical audiences.

Basic Qualifications:

• Currently has or is in the process of obtaining a Bachelors Degree plus 7 years of experience in data analytics or currently has or is in the process of obtaining a Masters Degree plus 5 years of experience in data analytics or currently has or is in the process of obtaining PhD plus 2 years of experience in data analytics with an expectation that required degree will be obtained on or before the scheduled start date

• At least 3 years experience in open source programming languages for large scale data analysis

• At least 3 years experience with machine learning

• At least 3 years experience with 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.

The minimum and maximum fulltime 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 parttime roles will be prorated based upon the agreed upon number of hours to be regularly worked.

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 candidates offer letter.

Capital One offers a comprehensive competitive and inclusive set of health financial and other benefits that support your total wellbeing. Learn more at theCapital One Careers website. Eligibility varies based on full or parttime status exempt or nonexempt 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 ator 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.

For technical support or questions about Capital Ones recruiting process please send an email to

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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).