Manager, Data Science – Card Fraud Detection in New York, New York

Middle 1 (19052), United States of America, McLean, Virginia

Supervisor, Information Science – Card Fraud Detection

Information is on the middle of the whole lot we do. As a startup, we disrupted the bank card business by individually personalizing each bank card supply utilizing statistical modeling and the relational database, leading edge expertise in 1988! Quick-forward a number of years, and this little innovation and our ardour for information has skyrocketed us to a Fortune 200 firm and a pacesetter on the planet of data-driven decision-making.

As a Information Scientist at Capital One, you will be a part of a workforce that is 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 massive alternatives that assist on a regular basis folks get monetary savings, time and agony of their monetary lives.

Crew Description

The Card Fraud Information Science workforce builds the machine studying fashions that assist shield our prospects and Capital One towards fraudsters. We forestall fraud at many steps of a buyer journey, from the appliance to spending and funds, utilizing real-time fashions. We care very deeply about doing issues the fitting approach, automating, and innovating to enhance the client expertise and stop fraud.

On this position, you’ll:

• Companion with a cross-functional workforce of knowledge scientists, software program engineers, and product managers to ship a product prospects love

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

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

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

The Superb Candidate is:

• Progressive. You regularly analysis and consider rising applied sciences. You keep present on printed state-of-the-art strategies, applied sciences, and purposes and search out alternatives to use them.

• Technical. You are snug with open-source languages and are keen about growing additional. You may have hands-on expertise growing information science options utilizing open-source instruments and cloud computing platforms.

• Statistically-minded. You’ve got constructed fashions, validated them, and backtested them. You understand how to interpret a confusion matrix or a ROC curve. You may have expertise with clustering, classification, sentiment evaluation, time collection, and deep studying.

• A knowledge guru. “Massive information” would not faze you. You may have the abilities to retrieve, mix, and analyze information from a wide range of sources and buildings. You already know understanding the info is commonly the important thing to nice information science.

Fundamental {Qualifications}:

• At the moment has, or is within the means of acquiring a Bachelor’s Diploma plus 6 years of expertise in information analytics, or presently has, or is within the means of acquiring a Grasp’s Diploma plus 4 years of expertise in information analytics, or presently has, or is within the means of acquiring PhD plus 1 12 months of expertise in information analytics, with an expectation that required diploma can be obtained on or earlier than the scheduled begin date

• Not less than 2 years’ expertise in open supply programming languages for giant scale information evaluation

• Not less than 2 years’ expertise with machine studying

• Not less than 2 years’ expertise with relational databases

Most popular {Qualifications}:

• Not less than 1 12 months of expertise working with AWS

• Not less than 4 years’ expertise in Python, Scala, or R for giant scale information evaluation

• Not less than 4 years’ expertise with machine studying

• Not less than 4 years’ expertise with customized code-driven machine studying tasks utilizing packages equivalent to XGBoost, pySpark, H2O

• Not less than 4 years’ expertise with one of many following modeling methods: regression, classification, clustering, anomaly detection, or function choice

• Not less than 4 years’ expertise with SQL

Capital One will think about sponsoring a brand new certified applicant for employment authorization for this place.

The minimal and most full-time annual salaries for this position are listed under, by location. Please notice that this wage data is solely for candidates employed to carry out work inside considered one of these areas, and refers back to the quantity Capital One is keen to pay on the time of this posting. Salaries for part-time roles can be prorated based mostly upon the agreed upon variety of hours to be repeatedly labored.

New York Metropolis (Hybrid On-Web site): $197,400 – $225,300 for Mgr, Information Science

Candidates employed to work in different areas can 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 can be mirrored solely within the candidate’s supply letter.

This position can be eligible to earn efficiency based mostly incentive compensation, which can embody money bonus(es) and/or long run incentives (LTI). Incentives could possibly be discretionary or non discretionary relying on the plan.

This position is predicted to just accept purposes for no less than 5 enterprise days.

No businesses please. Capital One is an equal alternative employer dedicated to range and inclusion within the office. All certified candidates will obtain consideration for employment with out regard to intercourse (together with being pregnant, childbirth or associated medical situations), race, colour, age, nationwide origin, faith, incapacity, genetic data, marital standing, sexual orientation, gender id, gender reassignment, citizenship, immigration standing, protected veteran standing, or every other foundation prohibited underneath relevant federal, state or native legislation. Capital One promotes a drug-free office. Capital One will think about for employment certified candidates with a felony historical past in a fashion according to the necessities of relevant legal guidelines relating to felony background inquiries, together with, to the extent relevant, Article 23-A of the New York Correction Legislation; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Metropolis’s Truthful Likelihood Act; Philadelphia’s Truthful Prison Information Screening Act; and different relevant federal, state, and native legal guidelines and rules relating to felony background inquiries.

You probably have visited our web site in the hunt for 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 through e-mail at . All data you present can be saved confidential and can be used solely to the extent required to supply wanted cheap lodging.

For technical assist or questions on Capital One’s recruiting course of, please ship an e-mail to

Capital One doesn’t present, endorse nor assure and isn’t answerable for third-party merchandise, companies, instructional instruments or different data accessible by this website.

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

Capital One is an equal alternative employer dedicated to range within the office. Capital One promotes a drug-free office.

All certified candidates will obtain consideration for employment with out regard to gender, race, colour, faith, nationwide origin, sexual orientation, protected veteran standing, or incapacity standing.

Capital One will think about for employment certified candidates with a felony historical past in a fashion according to the necessities of relevant legal guidelines relating to felony background inquiries, together with, to the extent relevant, Article 23-A of the New York Correction Legislation; San Francisco, California Police Code Article 49, Sections 4901-4920; Newark, New Jersey Ordinance 12-1630; and different relevant federal, state, and native legal guidelines and rules relating to felony background inquiries.

Minimal Wage: 31200.00
Most Wage: 31200.00
Wage Unit: Yearly