Manager, Data Scientist - Business Cards & Payments

Capital One Group; New York, McLean (NY, VA); Sur place; USD 215 000 - 246 000; Plein temps

Résumé du poste

Capital One in New York, NY seeks a Manager, Data Scientist for Business Cards & Payments. You will join a team building ML models to power underwriting and product strategies, using Python, AWS, Spark, and H2O across large datasets.

You will partner with engineers, product managers and data scientists to translate complex analyses into actionable business decisions, own model development lifecycle, and contribute to the credit infrastructure.

Qualifications

• Bachelor's degree in a quantitative field plus 6 years analytics experience, or Master’s with 4 years, or PhD with 1 year analytics.
• Experience leveraging open-source languages for large-scale data analysis.
• Experience with machine learning.
• Relational databases experience.

Responsabilités

• Partner with cross-functional data scientists, software engineers, and product managers to deliver a product customers love.
• Leverage Python, Conda, AWS, H2O, Spark, and more to analyze large numeric and textual data.
• Build ML models through design, training, evaluation, validation, and implementation.
• Translate complex work into tangible business goals.

Connaissances

Statistically-minded

Technical

Creative

Customer-first

Formation

Bachelor's degree in quantitative field

Master's degree in quantitative field or MBA (quant concentration)

PhD in quantitative field

Outils

Python

Scala

R

AWS

Spark

H2O

Conda

Description du poste

Manager, Data Scientist - Business Cards & Payments### Manager, Data Scientist - Business Cards & PaymentsApply: New York, NY: McLean, VA: Full time: Posted Today: R249379Manager, Data Scientist - Business Cards & PaymentsData 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 Business Card & Payments Data Science team builds industry leading machine learning models to power credit underwriting decisions. These models support emerging business card product strategies, and are a key part of our credit infrastructure. This team builds full-spectrum modeling solutions across customer life cycles, engaging in strong collaboration with business stakeholders, product, and software/ML engineering teams, to problem solve and develop innovative approaches that define our long term modeling strategy.****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 goalsThe 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.* 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.* 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.* 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.****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 6 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 4 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 1 year of experience performing data analytics* 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****Preferred Qualifications:***** PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics* At least 1 year of experience working with AWS* At least 4 years’ experience in Python, Scala, or R for large scale data analysis* At least 4 years’ experience with machine learning* At least 4 years’ experience with SQL**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.McLean, VA: $197,300 - $225,100 for Mgr, Data ScienceNew York, NY: $215,200 - $245,600 for 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.