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DATA ENGINEER - ANALYTIC CONSULTANT 4

at Wells Fargo

Posted: 12/3/2019
Job Reference #: 14015370
Keywords:

Job Description

Job Description

Important Note: During the application process, ensure your contact information (email and phone number) is up to date and upload your current resume prior to 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.
 
Key Responsibilities:

  • Develop scalable and reusable model deployment framework using Python and/or Scala programming languages.
  • Develop data pipelines to test model and model deployment framework on Spark-based Compute environment 
  • Create best practices and standards around model deployment framework and socialize them with the community to ensure successful delivery of the models.
  • Collaborate with data scientists to gain understanding of Natural Language Processing (NLP) techniques and model architectures and apply the techniques to the framework to make it efficient and scalable for several business cases.
  • Work with Artificial Intelligence (AI) platform team and other Enterprise Information Technology (EIT) team to provision data computing environment to evaluate/validate various approaches for integrating model pipeline with application systems before it is released to production.


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
  • 1+ year of Big Data experience
  • 1+ year of Python experience
  • 4+ years of SQL experience
  • 2+ years of experience with data manipulation, cleansing, and transformation



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
  • Extensive knowledge and understanding of research and analysis
  • 1+ years of Natural Language Processing (NLP) experience



Other Desired Qualifications
  • Experience working with unstructured data and/or text analytics is a plus


Street Address

NC-Charlotte: 11625 N Community House Road - Charlotte, NC
NC-Charlotte: 401 S Tryon St - Charlotte, NC
SC-Fort Mill: 3480 State View Blvd - Fort Mill, SC
MN-Minneapolis: 600 S 4th St - Minneapolis, MN
TX-Addison: 5080 Spectrum Dr - Addison, TX
TX-DAL-Downtown Dallas: 1445 Ross Ave - Dallas, TX
TX-Irving: 5000 Riverside Drive - Irving, TX
AZ-Tempe: 1150 W Washington St - Tempe, AZ
IA-Des Moines: 6200 Park Ave - Des Moines, IA
IA-Des Moines: 800 Walnut St - Des Moines, IA
UT-Salt Lake City: 299 S Main St - Salt Lake City, UT
GA-Atlanta: 3579 Atlanta Ave - Atlanta, GA



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.

Application Instructions

Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!