Senior Manager, Data Scientist – Travel Intelligence at Capital One

Overview

Senior Manager, Data Scientist – Travel Intelligence

Data is on the middle of every thing we do. As a startup, we disrupted the bank card trade by individually personalizing each bank card provide utilizing statistical modeling and the relational database, innovative know-how in 1988! Fast-forward just a few years, and this little innovation and our ardour for knowledge has skyrocketed us to a Fortune 200 firm and a frontrunner on the planet of data-driven decision-making.

As a Data Scientist at Capital One, you’ll be a part of a staff that’s main the following wave of disruption at a complete new scale, utilizing the most recent in computing and machine studying applied sciences and working throughout billions of buyer data to unlock the large alternatives that assist on a regular basis individuals lower your expenses, time and agony of their monetary lives.

Team Description

You will probably be a member of the Travel Intelligence staff, a high-impact group devoted to constructing the “intelligent core” of Capital One Travel. Our mission is to rework huge quantities of journey knowledge into customized, seamless experiences for our clients. Specifically, this function focuses on the Hotels area, the place you’ll personal the end-to-end technical technique for Search & Sort and Pricing Optimization. We function in a “green-field” surroundings, shifting from offline, historic knowledge fashions to stylish, real-time Machine Learning options.

As a part of Travel Intelligence, you will not simply be constructing fashions; you may be partnering intently with Product and Engineering to outline key metrics (like MOB and Reference Price protection) and architecting the techniques that decide what our clients see and what they pay. This is a novel alternative to use the 80:20 rule—beginning with pragmatic, high-impact wins whereas concurrently constructing the enterprise case and technical roadmap for the way forward for ML at Capital One Travel.

Role Description

In this function, you’ll:

• Partner with a cross-functional staff of information scientists, software program engineers, and product managers to ship a product clients love

• Leverage a broad stack of applied sciences — Python, Conda, AWS, H2O, Spark, and extra — to disclose the insights hidden inside big volumes of numeric and textual knowledge

• Build machine studying fashions by means of all phases of improvement, from design by means of coaching, analysis, validation, and implementation

• Flex your interpersonal expertise to translate the complexity of your work into tangible enterprise objectives

The Ideal Candidate is:

• Customer first. You love the method of analyzing and creating, but additionally share our ardour to do the appropriate factor. You know on the finish of the day it’s about making the appropriate choice for our clients.

• Creative. You thrive on bringing definition to huge, undefined issues. You love asking questions and pushing exhausting to seek out solutions. You’re not afraid to share a brand new concept.

• Technical. You’re comfy with open-source languages and are captivated with growing additional. You have hands-on expertise growing knowledge science options utilizing open-source instruments and cloud computing platforms.

• A knowledge guru. “Big data” doesn’t faze you. You have the talents to retrieve, mix, and analyze knowledge from quite a lot of sources and buildings. You know understanding the information is usually the important thing to nice knowledge science.

Basic Qualifications:

• Currently has, or is within the strategy of acquiring one of many following with an expectation that the required diploma will probably be obtained on or earlier than the scheduled begin date:

  • A Bachelor’s Degree in a quantitative area (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a associated quantitative area) plus 7 years of expertise performing knowledge analytics

  • A Master’s Degree in a quantitative area (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a associated quantitative area)  or an MBA with a quantitative focus plus 5 years of expertise performing knowledge analytics

  • A PhD in a quantitative area (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a associated quantitative area) plus 2 years of expertise performing knowledge analytics

• At least 2 years of expertise leveraging open supply programming languages for giant scale knowledge evaluation

• At least 2 years of expertise working with machine studying

• At least 2 years of expertise using relational databases

Preferred Qualifications:

• PhD in “STEM” area (Science, Technology, Engineering, or Mathematics) plus 4 years of expertise in knowledge analytics

• At least 1 12 months of expertise working with AWS

• At least 5 years’ expertise in Python, Scala, or R for giant scale knowledge evaluation

• At least 5 years’ expertise with machine studying

Capital One will take into account sponsoring a brand new certified applicant for employment authorization for this place.

The minimal and most full-time annual salaries for this function are listed beneath, by location. Please observe that this wage data is solely for candidates employed to carry out work inside one in every of these places, and refers back to the quantity Capital One is keen to pay on the time of this posting. Salaries for part-time roles will probably be prorated based mostly upon the agreed upon variety of hours to be often labored.

McLean, VA: $229,900 – $262,400 for Sr Mgr, Data ScienceNew York, NY: $250,800 – $286,200 for Sr Mgr, Data Science

Candidates employed to work in different places will probably be topic to the pay vary related to that location, and the precise annualized wage quantity provided to any candidate on the time of rent will probably be mirrored solely within the candidate’s provide letter.

This function can be eligible to earn efficiency based mostly incentive compensation, which can embrace money bonus(es) and/or long run incentives (LTI). Incentives may very well be discretionary or non discretionary relying on the plan.

Capital One provides a complete, aggressive, and inclusive set of well being, monetary and different advantages that assist your whole well-being. Learn extra on theCapital One Careers web site. Eligibility varies based mostly on full or part-time standing, exempt or non-exempt standing, and administration degree.

This function is predicted to simply accept purposes for at least 5 enterprise days.No businesses please. Capital One is an equal alternative employer (EOE, together with incapacity/vet) dedicated to non-discrimination in compliance with relevant federal, state, and native legal guidelines. Capital One promotes a drug-free office. Capital One will take into account for employment certified candidates with a legal historical past in a way according to the necessities of relevant legal guidelines relating to legal background inquiries, together with, to the extent relevant, 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 different relevant federal, state, and native legal guidelines and rules relating to legal background inquiries.

If you could have visited our web site seeking data on employment alternatives or to use for a place, and also you require an lodging, please contact Capital One Recruiting at 1-800-304-9102 or by way of electronic mail at [email protected]. All data you present will probably be stored confidential and will probably be used solely to the extent required to offer wanted cheap lodging.

For technical assist or questions on Capital One’s recruiting course of, please ship an electronic mail to [email protected]

Capital One doesn’t present, endorse nor assure and isn’t chargeable for third-party merchandise, companies, academic instruments or different data out there by means of this web site.

Capital One Financial is made up of a number of totally different entities. Please observe that any place posted in Canada is for Capital One Canada, any place posted within the United Kingdom is for Capital One Europe and any place posted within the Philippines is for Capital One Philippines Service Corp. (COPSSC).