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Wells Fargo: Data Scientist


Apply statistical/ machine learning techniques, to develop segmentations, predictive models, experimental designs, and decision analyses; Develop algorithms to optimize product offering, pricing, and distribution channel, and more.



Wells Fargo At: Wells Fargo
Location: Wilmington, DE or in other states in CLG footprint
Web: wellsfargo.com/careers


Our next big investment is in you

Let's talk about taking your career to new heights

You have a proven track record of success but you're looking for more. More responsibility. More challenges. At Wells Fargo you'll find that opportunity. You'll join a team of people who are smart and share your values. You can enjoy a diverse career as you learn and grow your capabilities across our multiple lines of business. Our supportive environment can help you make a difference within the company and the communities we serve. Visit our career site at wellsfargo.com/careers and let's start a conversation about your future.

Our foundation for success can be summarized in three beliefs:
  • Our product is service.
  • Our value added is financial advice and guidance.
  • Our competitive advantage is our people. It all begins with outstanding talent.

 
In Wells Fargo's Consumer Lending Group (CLG), we've built our team of top professionals by rewarding their accomplishments and ensuring they have what's needed to succeed. We value and promote diversity and inclusion in every aspect of our business and at every level of our organization.

The CLG team includes Home Lending, Consumer Credit Card, Personal Loans and Lines, Direct Auto, Dealer Services, Commercial Auto, Retail Services and Education Financial Services including the professional services teams that partner with these businesses - Human Resources, Finance, Credit Risk, and Compliance & Operational Risk.

The Consumer Financial Solutions (CFS) team focuses on the growth and management of Wells Fargo's consumer credit card portfolio, including general purpose and co-brand cards. In addition, our team delivers industry-leading rewards, offers and benefits that recognize and celebrate our customers' relationship with Wells Fargo and keep us focused on earning and re-earning more of their business. We also continue to explore innovative new solutions for helping consumers accomplish their financial goals. All of this is enabled by our strong teams in loan operations, project and systems delivery, customer excellence, strategy, analytics and our partners in risk, marketing and finance.

The new Digital Incubator team ("incubator") leads Wells Fargo's online and mobile credit card acquisition strategy and execution, partnering with product, marketing, credit risk, and loan operations teams to develop new digital card acquisition capabilities and offerings.

The Digital Incubator will manage all aspects of digital card acquisition, from lead source prioritization, customer targeting and data measurement & analytics to application origination, underwriting and fulfillment.

At the Wells Fargo's Digital Incubator we are all about using smart, innovative, data-driven business solutions to develop and execute a bold and market-leading digital acquisition strategy for our rapidly growing credit card business. Right now, we are looking for a bright and creative data scientist to help us design and build the next generation of predictive tools that will guide our digital capabilities and offerings. The position offers a unique opportunity to be part of a small, fast-paced, challenging, and "start-up" like environment.

Responsibilities
  • Apply various statistical and machine learning techniques, to develop segmentations, predictive models, experimental designs, and decision analyses
  • Gather, manipulate, and analyze large data sets from multiple sources
  • Develop algorithms to optimize product offering, pricing, and distribution channel
  • Transform data into impactful business insights, strategy recommendations and implementation plans to improve key performance metrics for the business
  • Evaluate model output, formulate and test hypotheses, weigh alternatives, and determine appropriate responses
  • Apply deep, creative, rigorous thinking to solve broad business problems
  • Collaborate closely with various functional groups such as Product, Marketing, and Technology to successfully deliver results
  • Effectively communicate findings and solutions to a variety of audiences

**This position can be located anywhere within the CLG footprint**

Required Qualifications
  • 6+ years of experience in one or a combination of the following: reporting, analytics, or modeling; or a Masters degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 4+ years of experience in one or a combination of the following: reporting, analytics, or modeling

Desired Qualifications
  • Extensive knowledge and understanding of research and analysis
  • Strong analytical skills with high attention to detail and accuracy
  • Excellent verbal, written, and interpersonal communication skills
  • Ability to think creatively to find innovative solutions to complex analytical questions
  • Ability to work in a fast paced deadline driven environment

Other Desired Qualifications
  • 6+ years of hands-on experience building predictive models using regression analysis
  • 3+ years hands-on supervised and unsupervised machine learning techniques (e.g. CHAID, random forest, boosted trees, Bayesian modeling, support vector machines, neural networks, clustering, graphical models)
  • Expert knowledge of SAS and SQL.
  • Experience with one or more of the following: R, Python, Pig, Hive.
  • Experience with distributed computing (Hadoop).
  • Familiarity with web analytics concepts (i.e. sales funnel analysis, click through, impressions, etc.)
  • Breadth of knowledge includes full lifecycle of customer from targeting to acquisition, customer performance, loyalty and retention
  • Financial industry and digital marketing experience a plus
  • Familiarity with digital channel systems, processes, and analytic tools

_Contact_:
Visit wellsfargo.com/careers and search by Job ID # 5191274 to apply.

Disclaimer

All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.

Relevant military experience is considered for veterans and transitioning service men and women.

Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation. © 2016 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.