Analytic Consultant 6 - Principal Data Scientist

Location: Charlotte, NC

*** Mention DataYoshi when applying ***

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 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 are looking for talented people who will put our customers at the center of everything we do. We are seeking candidates who embrace diversity, equity and inclusion in a workplace where everyone feels valued and inspired.

Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

The Chief Operating Office (COO) is responsible for delivering a more consistent approach to business operations across Wells Fargo, strengthening the company's risk and control infrastructure, and delivering effective and efficient enterprise services to employees and customers.

The COO group includes the head of Operations, who is jointly responsible for line of business operations with each of the five LOB CEOs. Operations functions include contact center operations, client servicing support, money movements within our businesses, lending operations, and other functions.

The COO group also includes a number of teams dedicated to strengthening Wells Fargo's risk and control infrastructure. These include the Control Executive team; Regulatory and Policy Affairs; Enterprise Customer Excellence; Sales Practices Oversight and Management; and Strategic Execution and Operations.

The Chief Administrative Office, encompassing the Corporate Properties Group; Corporate Security; Enterprise Business Resiliency; Strategic Programs and Process Improvement; Enterprise Change Management; Supply Chain Management; and Data Management and Insights, delivers important services for our employees and customers.

As a data scientist in Wells Fargo Enterprise Complaints Data, Analytics, and Reporting (CDAR) you will be responsible for recognizing opportunities to improve the customer experience through the use of artificial intelligence (AI) and machine learning (ML). More specifically, you will build models that evaluate and improve the customer experience by combining both unstructured voice of customer (e.g. Natural Language Processing (NLP), Speech) data, structured operational data (e.g. loan payment behaviors) and customer interaction data (e.g. web events).

This job requires some general knowledge of financial products, portfolios, and markets, as well as familiarity with analytic techniques used to create, validate, implement or report on machine learning models. Data involved typically very large, structured or unstructured, and from multiple sources. This role will help the organization grow, develop, and improve our existing machine learning approaches with natural language technology. The role will be to provide expert advice and implementation of appropriate advanced analytic solutions across the organization with regards to identifying the cause of customer complaints, help identify organizational gaps, and help create model validation documentation guidance.

Job responsibilities include:

  • Developing machine learning and other AI models with Python, R, or other languages and tools
  • Combining Natural Language Processing techniques and other analytic techniques to extract useful information from both unstructured and structured data
  • Translating and summarizing complex analysis into understandable, actionable insights and recommendations that directly drive effective business strategy
  • Retrieve, combine and transform data from numerous information systems
  • Scale analytics solutions to Big Data with Hadoop, Spark/PySpark and other Big Data tools
  • Support technical build-out and/or support of databases, query tools, reporting tools, BI tools, dashboards, etc. that enable analysis, modeling, and/or data visualization.
  • Responsible for performing highly complex activities related to creation, implementation, documentation, validation, articulation and defense, on-going maintenance of complex models grounded in theory used to quantify, analyze and manage customer complaints.
  • Typically focus on the theory and/or advanced mathematics behind the analyses. Applies knowledge of business, customers, and/or products/services/portfolios to synthesize data to 'form a story' and align information to contrast/compare to industry perspective.

Professional or personal working experience:

  • Python
  • SciPy
  • Keras/Tensorflow
  • ML/NLP experience (design/development/training)
  • Neural Networks
  • Sharepoint
  • Ability to communicate to different audiences (software engineers, product managers, senior management and regulators) both verbally and in writing
  • Capability to multi-task and finish work within strict timelines and provide timely requests for information and follow-up questions
  • Eagerness to contribute collaboratively on projects and discussions
  • Attention to detail in both analytics and documentation

Required Qualifications

  • 10+ years of experience in analytics, modeling or a combination of both demonstrated through work or military experience; or a PhD 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 7+ years of experience in analytics, modeling, or a combination of both
  • 3+ years of Teradata experience

Other Desired Qualifications

  • Take initiatives and drive each project to completion with minimal guidance while effectively managing multiple projects at a time
  • Demonstrated analytical and quantitative problem-solving skills
  • 3+ years of industrial Data Science experience, with expertise in NLP and time series techniques including CNN, RNN, GRU, Seq2Seq, PoS tagging, Entity Extraction, Word Embeddings, NER, etc.
  • Have published neural network research
  • Have neural network related deep learning experience
  • Have deployed large scale Data Science solutions: Java, Python, C++

Job Expectations

  • Ability to travel up to 10% of the time

*** Mention DataYoshi when applying ***

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