1+ months

SR. DATA ENGINEER - ANALYTIC CONSULTANT 5

Charlotte, NC 28202
  • Job Code
    5519688-3
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. Were looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where youll 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 DMIs 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 Fargos 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

8+ 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 5+ years of experience in one or a combination of the following: reporting, analytics, or modeling1+ years of Apache Spark design and development experience using Scala, Java, Python or Data Frames with Resilient Distributed Datasets (RDDs)5+ years of SQL experience4+ years of experience with Big Data or Hadoop tools such as Spark, Hive, Kafka and Map2+ years of experience with data manipulation, cleansing, and transformation3+ years of Python experience

Desired Qualifications

Extensive knowledge and understanding of research and analysisStrong analytical skills with high attention to detail and accuracyExcellent verbal, written, and interpersonal communication skills1+ years of Natural Language Processing (NLP) experience

Other Desired Qualifications Experience working with unstructured data and/or text analytics is a plusStreet Address

NC-Charlotte: 11625 N Community House Road - Charlotte, NCNC-Charlotte: 401 S Tryon St - Charlotte, NCSC-Fort Mill: 3480 State View Blvd - Fort Mill, SC

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.

Advertisement

Categories

Posted: 2020-01-05 Expires: 2020-03-04

Featured Jobs

Career News

Before you go...

Our free job seeker tools include alerts for new jobs, saving your favorites, optimized job matching, and more! Just enter your email below.

Share this job:

SR. DATA ENGINEER - ANALYTIC CONSULTANT 5

Wells Fargo
Charlotte, NC 28202

Join us to start saving your Favorite Jobs!

Sign In Create Account
Powered ByCareerCast