21 days old

Head of Machine Learning Data Science - AM6

Irvine, CA 92603
  • Job Code
Job Description

Other Wells Fargo locations will be considered.

Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company with $1.8 trillion in assets. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, insurance, investments, mortgage, and consumer and commercial finance through 8,700 locations, 13,000 ATMs, the internet (wellsfargo.com) and mobile banking, and has offices in 36 countries to support customers who conduct business in the global economy. With approximately 265,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargos vision is to satisfy our customers financial needs and help them succeed financially.

Data Management & Insights (DMI) is transforming the way that Wells Fargo uses and manages data. Our work enables Wells Fargo to empower and inform our team members, deliver exceptional experiences for our customers, and meet the elevated expectations of our regulators. The team is responsible for designing the future data environment, defining data governance and oversight, and partnering with technology to operate the data infrastructure for the company. This team also provides next generation analytic insights to drive business strategies and help meet our commitment to satisfy our customers financial needs.

Position Responsibilities

The Head of Machine Learning Data Science will provide overall leadership for the data science efforts at Wells Fargo. The leader will sit in the Enterprise Analytics Organization (part of DMI) and be responsible for building and managing a team of 20+ data scientists. They will assist the data scientists towards delivering on multiple high-value Machine Learning initiatives. This highly strategic position has the opportunity to shape the evolution of data science within WF.

The Head of Machine Learning Data Science will be responsible for:

  • Growing the current data science organization to 20+ data scientists

  • Setting the operating norms and processes required for effective delivery of data science and machine learning initiatives

  • Partnering with Technology and AI Product Management to define the roadmap for data science capabilities and tools

  • Playing an influencing role in the integration (operationalization) of the data science team outputs within the larger data and applications ecosystem

  • Defining the recruiting, training and development, and career planning support structures for the build out of the data science program

  • Challenging the current state and raising the expectations on the application of data science, through new algorithms, harnessing new types of data, and driving the research to bring those ideas to fruition

  • Candidate Profile

    The Head of Machine Learning Data Science will be an experienced leader with extensive knowledge in data science/machine learning. They will also have significant experience managing a team of data scientists, a portfolio of machine learning models, and delivering breakout business results. The ideal candidate will have the strategic thinking to envision the possibilities of machine learning for the organization, yet still retain the ability to dive into the details and problem-solve as the operating team faces difficulties. They must possess excellent communication and influencing skills, and have the ability to earn trust from both business and technology partners through articulation of a compelling vision and follow through with delivery against that vision.

    Required Qualifications

    10+ years of experience in analytics, modeling, or a combination of both8+ years of management experience; or 3+ years of leadership experience in an advanced quantitative analytics function3 + years of experience using quantitative machine learning techniques

    Other Desired Qualifications
  • 5+ years experience building and applying machine learning solutions in financial services
  • 3+ years experience with operationalizing machine learning or statistical modeling solutions and integrating them with production data sources and downstream applications
  • 3+ years managing data scientist/ statistician teams
  • 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
  • Ability to think creatively to find innovative solutions to complex analytical questions
  • Ability to translate and summarize complex analysis into understandable, actionable insights and recommendations that directly drive effective business strategy
  • Experience in applying modern software engineering practices for model development and deployment
  • Experience working with big data infrastructure with tools such as Hive, Spark and H2O
  • Experience with Tensorflow or Keras, or other equivalent deep learning libraries
  • 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.


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    Head of Machine Learning Data Science - AM6

    Wells Fargo
    Irvine, CA 92603

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    Wells Fargo
    Irvine, CA

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