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NEXTMOVEFDE careers · United States
Capital One (Plano campus)

Manager, Data Scientist - Emerging Payments & Airkey

AI summary of the role

Lead a data science team within Capital One's Emerging Payments organization, building machine learning models that power customer-facing payment experiences for tens of millions of users.

What you’ll do

  • Create machine learning models from development through testing and validation to production for 30+ million customers
  • Design rich data visualizations to communicate complex ideas to customers or company leaders
  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product that customers love
  • Leverage a broad stack of technologies - SQL, Python, Conda, AWS, Spark, and more - to reveal insights hidden within huge volumes of numeric and textual data

What you’ll bring

  • Bachelor's degree in a quantitative field plus 6 years data analytics experience, or Master's plus 4 years, or PhD plus 1 year
  • At least 1 year of experience leveraging open source programming languages for large scale data analysis
  • At least 1 year of experience working with machine learning
  • At least 1 year of experience utilizing relational databases

Technologies

XGBoost · transformers · embeddings · LLMs · SQL · Python · Scala · TensorFlow · PyTorch · Databricks · Snowflake · AWS

Source and classification

Internal deployment & tooling · Evidence for this classification:

maintains innovative payment experiences for Capital One customers, including digital wallets, virtual card numbers, merchant checkout experiences, transaction intelligence, and new commercialization opportunities. Our data science team builds machine learning models that help our customers securely facilitate, control, and understand their spend. These models power customer-facing features and experiences that reach tens of millions of customers. We cleanse, enrich, and use large scale card and debit data from Capital One and, more recently, Discover, as well as national metadata datasets around merchants, places, and more. Leveraging the latest approaches and tools, we primarily work with models such as XGBoost, transformers, embeddings, and LLMs, using SQL, Python (and some Scala), tensorflow and pytorch, with Databricks, Snowflake, and other internal platforms and tools. On any
More from the job description

Manager, Data Scientist - Emerging Payments & Airkey 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 Emerging Payments organization develops and maintains innovative payment experiences for Capital One customers, including digital wallets, virtual card numbers, merchant checkout experiences, transaction intelligence, and new commercialization opportunities. Our data science team builds machine learning models that help our customers securely facilitate, control, and understand their spend. These models power customer-facing features and experiences that reach tens of millions of customers. We cleanse, enrich, and use large scale card and debit [... source excerpt omitted ...] nowflake, and other internal platforms and tools. On any given day you’ll be: Creating machine learning models from development through testing and validation to our 30+ million customers in production Designing rich data visualizations to communicate complex ideas to customers or company leaders Investigating the impact of new technologies on the future of mobile banking and the financial world of tomorrow In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product that customers love Leverage a broad stack of technologies - SQL, Python, Conda, AWS, Spark, and more - to reveal the insights [... source excerpt omitted ...] raining, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. 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. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience dev

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