Senior Manager, Data Science - US Card (Resiliency Intelligence)

Capital One Group; New York (NY); On-site; USD 251,000 - 286,000; Full time

Job summary

Capital One is seeking a Senior Manager of Data Science for US Card (Resiliency Intelligence) to lead data-driven initiatives at scale. You will partner with data scientists, software engineers and product managers to build predictive models and deploy solutions using Python, AWS, Spark, and open-source ML libraries.

The ideal candidate has 5+ years in Python/Scala/R for large-scale analytics, 2+ years in ML, and strong experience with relational databases and cloud platforms.

Qualifications

• Bachelor's degree in a quantitative field and 7+ years analytics experience.
• Master's degree or MBA with quantitative focus and 5+ years analytics.
• PhD with 2+ years analytics experience.
• 2+ years optimizing using open-source languages for large-scale data.

Responsibilities

• Partner with cross-functional teams to deliver data products customers love.
• Leverage Python, AWS, Spark to reveal insights from large numeric/text data.
• Build ML models through design, training, evaluation, validation and deployment.

Skills

Python

Scala

R

Machine learning

Relational databases

Open source languages

Education

Bachelor's degree (quantitative)

Master's or MBA (quantitative)

PhD (quantitative)

Tools

AWS

Spark

H2O

XGBoost

scikit-learn

statsmodels

Job description

Senior Manager, Data Science - US Card (Resiliency 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! 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 Mainstreet Growth and Resiliency team helps identify new customers and improve financial resiliency through personalized solutions at scale. Sustainable growth is essential for the business and crucially important for customers that encounter financial hardship who need personalized resources to resolve outstanding balances. To achieve this, we use supervised and reinforcement learning models to predict customer needs and recommend optimal solutions. We write custom Python libraries and use open-source ML libraries like XGBoost, scikit-learn, and stats models. Our models define the treatment for millions of customers on a daily basis and your code will run in analytical and production environments. **Role Description**In this role, you will:* 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 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.* 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.* Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.* A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. **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.** 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.Cambridge, MA: $229,900 - $262,400 for Sr Mgr, Data ScienceMcLean, VA: $229,900 - $262,400 for Sr Mgr, Data ScienceNew York, NY: $250,800 - $286,200 for Sr Mgr, Data ScienceCandidates 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 candidate’s offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.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.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.