Senior Manager, Data Scientist - US Card

Lead machine learning that strengthens customer management and helps drive real-time decisions. This onsite role in McLean, VA at the US Card data science organization focuses on building top-tier models for real-time customer behavioral prediction and valuation forecasts , using large-scale data and a broad stack of data and ML technologies.

You will work in a team environment alongside data scientists, software engineers, and product managers, partnering closely with teams across the Upmarket business , engineering, analytics, data science/quants, and product. The work is designed for leaders who can translate complex modeling work into business goals while advancing talent and technical execution.

What you’ll do

• Collaborate with cross-functional partners, including data scientists, software engineers, and product managers , to deliver products customers love
• Use a broad technology stack, including Python, Conda, AWS, H2O, and Spark (plus additional tools) to uncover insights hidden in large numeric and textual datasets
• Own machine learning development end to end: design, training, evaluation, validation, and implementation
• Communicate technical work clearly by aligning complex analysis with tangible business goals

Team focus

As part of the US Card data science organization, the team supports the customer management business. Models address multiple customer needs through real-time behavioral prediction and valuation forecasts . You will collaborate with Upmarket and partner teams across engineering, analysts, data science/quants, and product.

Required qualifications

• One of the following degree and experience paths (with the expectation the required degree will be obtained on or before the scheduled start date):
  • Bachelor’s in a quantitative field plus 7 years of experience performing data analytics
  • Master’s in a quantitative field (or an MBA with a quantitative concentration) plus 5 years of experience performing data analytics
  • PhD in a quantitative field plus 2 years of experience performing data analytics
• At least 2 years leveraging open source programming languages for large-scale data analysis
• At least 2 years working with machine learning
• At least 2 years utilizing relational databases
• PhD in a 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 of experience with Python, Scala, or R for large-scale data analysis
• At least 5 years of experience with machine learning

Technology stack

Python, Conda, AWS, H2O, Spark, Scala, R

Candidate profile

• Creative problem-solver who defines approaches for big, undefined problems and shares new ideas
• Leader who challenges conventional thinking and focuses on talent development
• Technical builder with hands-on experience using open source tools and cloud computing platforms
• Statistically-minded modeler who understands evaluation and validation, including backtesting and metrics such as ROC curves and confusion matrices
• Data-focused practitioner comfortable working with large and diverse datasets, including retrieving, combining, and analyzing data from multiple structures

Compensation (McLean, VA): $229,900 - $262,400 per year.