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Wells Fargo: Data Scientist Lead – Quantitative Analytics Consultant


Seeking an experienced data scientist to join the marketing sciences team who is passionate about data and applying leading edge machine learning technology to solve business problems.



Company: Wells FargoWells Fargo
Location: San Francisco, CA, Des Moines, IA, Minneapolis, MN, Charlotte, NC, St. Louis, MO, New York City, NY
Web: www.wellsfargo.com
Position: Data Scientist Lead - Quantitative Analytics Consultant

_Contact_:
Apply online.

Job Opening ID: 5355903

It starts with you. Our goal is to attract, develop, retain and motivate the most talented people - those who care and who work together as partners across business units and functions. We value and promote diversity and inclusion in every aspect of our business and at every level of our organization.
Marketing leads the development of integrated marketing strategies across Wells Fargo's 90 plus business lines and national geography. The group is responsible for brand strategy and advertising, database and experiential marketing including the company's 12 history museums, integrated program and product development, market research and related customer analytics, and diverse segments strategy and business development.

We are looking for an experienced data scientist to join the marketing sciences team who is passionate about data and applying leading edge machine learning technology to solve business problems. In this role you will help transform our vast amount of data into amazing customer experience and customer success. Your work will have an impact on millions of customers. Your responsibilities may include the following:

  • Lead the research and development of cutting edge machine learning technologies to predict customer behavior and optimize customer outcomes.
  • Work with other team members to brainstorm and prototype innovative ideas to enhance customer experience.
  • Work with internal customers to understand their problems and help develop innovative solutions to these problems.
  • Discover and explore the use of new sources of internal and external data which provide additional customer insight.
  • Work with stakeholders to help translate and implement the technologies you develop into world-class products.
  • Act as a mentor for more junior team members.
  • Act as a consultant to other teams for AI and machine-learning related projects.

Required Qualifications

  • 4+ years of experience in an advanced scientific or mathematical field
  • A master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science
  • 4 + years of experience using quantitative machine learning techniques
  • 4 + years of experience building predictive models

Desired Qualifications

  • Proven track record in developing innovative machine learning solutions to business problems
  • Deep understanding and strong hands-on experience in machine learning and data science: e.g. predictive models, classification, collaborative filtering, deep learning, reinforcement learning, Markov models, generative adversarial networks, graph algorithms, etc.
  • Experience with big data, big data algorithms, and big data platforms: e.g. Hadoop & Spark
  • Strong experience with machine learning development languages such as Python and R
  • Ability to mentor junior team members and to explain complex concepts

Apply Today Internal Team Members

External Job Seekers

  • Visit Wells Fargo Careers Site: wellsfargo.com/careers
  • Click on Search Jobs and Search Jobs Now
  • Enter the Job Opening ID as listed above in the field
  • Click on Search

*These instructions are for internal team members. *These instructions are for external job seekers.
*If job search returns with no results, then posting is no longer active.

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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. © 2015 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.