Important Note: During the application process, ensure your contact information (email and phone number) is up to date and upload your current resume when submitting your application for consideration. To participate in some selection activities you will need to respond to an invitation. The invitation can be sent by both email and text message. In order to receive text message invitations, your profile must include a mobile phone number designated as “Personal Cell” or “Cellular” in the contact information of your application.
At Wells Fargo, we want to satisfy our customers’ financial needs and help them succeed financially. We’re looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you’ll feel valued and inspired to contribute your unique skills and experience.
Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.
Data Management and 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.
This role is a part of a newly formed NLP Data Engineering and Delivery team of DMI’s Enterprise Analytics and Data Science Team – the central analytics group tasked with solving high-impact business challenges and standing up cutting-edge analytical capabilities to be shared across Wells Fargo’s analytic community.
The NLP Data Engineer will help the “Enterprise Analytics & Data Science - Natural Language Processing (NLP) Engineering and Delivery” team in developing highly scalable and reusable model pipeline framework so that the model delivery is streamlined and simplified. The candidate will be actively involved in model development workflow and work with other NLP data scientists to generate innovative ideas around simplification and improvisation of model deployment environment. He will be a key player in ensuring that the model pipeline is tested, evaluated/validated, and integrated with other system layers before it is promoted to production environment. He needs to be hands-on in creating data pipeline libraries using Python and/or Scala programming languages and have keen interest in understanding the data science approaches such as deep learning neural nets and Natural Language Processing techniques.
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