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Featured Employers
NLP Data Scientist - Quantitative Analytics Spec 3
Company: Wells Fargo
Location: Addison, TX
Employment Type: Full Time
Date Posted: 04/17/2021
Expire Date: 06/09/2021
Job Categories: Computers, Software, Finance/Economics, Financial Services, Information Technology, Insurance, Law Enforcement, and Security, Military, Sales, Science, Research & Development
Job Description
NLP Data Scientist - Quantitative Analytics Spec 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 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.

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.

The Artificial Intelligence Model Development Center of Excellence (AI MD CoE) team within DMI is a data science team, responsible for developing and deploying machine learning and AI solutions for a number of domain areas such as fraud prevention, credit risk, experience personalization, customer listening, anomaly detection, and operational cost improvement. The CoE collaborates closely with the AI Enterprise Solutions and the AI Technology teams at the bank, and brings a cross-functional approach to identifying, developing and deploying AI solutions. 
 
The CoE requires high-skill/ high-motivation individuals who enjoy working collaboratively in a team setting, used to taking decisions autonomously and comfortable with a dynamic work environment.

The NLP Data Science team in the CoE is responsible for developing and deploying NLP, machine learning, and AI solutions for key strategic Enterprise initiatives such as customer experience improvement, risk management and compliance, business operational excellence, and team member experience. The team is looking for an experienced analytics professional to add to its NLP model development team.

As part of the NLP model development team, you will be responsible for designing, developing, and implementing machine learning (ML)/NLP models focusing on initiatives for any Wells Fargo line of business. You will be leveraging unstructured text such as emails, text messages, notes, and semi-structured data in combination of structured data to apply text analytics and ML/NLP techniques. You will use open stack programming languages (primarily Python) and/or vendor solutions to develop models and deploy them on Wells Fargo's AI platform. 

The ideal candidate is creative and able to think outside the box to uncover new ways to analyze unstructured data to answer complicated business questions. The ideal candidate is curious, proactive, an excellent communicator, and comfortable with finding and reading papers from the NLP research literature. As part of the model development team, you will be responsible of delivering solutions that meet business needs as well as any efforts related to model documentation and reviews to ensure the modeling processes and procedures meet corporate model risk policies and requirements.  

KEY RESPONSIBILITIES INCLUDE:

As part of the ML/NLP data science team focused on building models for lines of business across the enterprise, you will work with other data scientists on the team to follow and develop the model according to our analytic process:
• Partner with line of business executives and senior leaders to frame the problem and define/identify business objectives
• Identify/assess data sources
• Conduct comprehensive literature reviews to support the methodology decisions you will make as part of model development
• Design, develop, and deploy ML/NLP models using state of the art NLP and ML techniques available in the open stack and/or vendor solutions
• Design and build effective data visualizations
• Communicate the results to the line of business
• Write comprehensive and accurate model development documentation
• Develop a model monitoring plan
• Knowledge of regulatory requirements related to model risk management (FRB/OCC SR 11-7)
• Adhere to corporate model risk policy and ensure compliance with model risk management 
• Working with other data science teams to identify, gather, retain, and publicize modeling artifacts required for approved and repeatable processes 
• Contribute to NLP data science team's group effort to stay concurrent with the cutting edge and bleeding edge of NLP/ML/DL algorithms, methodologies in the open source community and vendor solutions. 
• Work with technology and production teams to operationalize models
• May be called upon to review vendor models and solutions and/or models developed outside of the CoE



Required Qualifications

  • 2+ years of SQL experience
  • 3+ years of Python experience
  • 2 + years of experience using quantitative machine learning techniques
  • 1+ years of Natural Language Processing (NLP) experience
  • A master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science
  • 2+ years of experience in an advanced scientific or mathematical field



Desired Qualifications

  • A PhD in a quantitative discipline
  • Big Data experience
  • Ability to work and influence successfully within a matrix environment and build effective business partnerships with all levels of team members
  • Meeting facilitation experience in leading discussions that result in consensus and commitment
  • Strong analytical skills with high attention to detail and accuracy



Other Desired Qualifications
  • Model validation experience
  • Experience using GitHub for version control and collaboration
  • Knowledge and/or experience with the following:
  • Implementing solutions with common NLP frameworks and libraries in Python (NLTK, spaCy, gensim) or Java (Stanford CoreNLP, NLP4J)
  • Common NLP techniques, such as
    • Pre-processing (tokenization, part-of-speech tagging, parsing, stemming)
    • Semantic analysis (named entity recognition, sentiment analysis)
    • Modeling and word representations (TF-IDF, LSA, LDA, word2vec)
  • Data engineering skills (deploying analytical solutions across an organization in a production format)
  • Solution design skills (be able to analyze and justify methodology decisions for model development)
  • Model validation experience
  • Experience using GitHub for version control and collaboration
  • Knowledge and/or experience with the following:
  • Implementing solutions with common NLP frameworks and libraries in Python (NLTK, spaCy, gensim) or Java (Stanford CoreNLP, NLP4J)
  • Common NLP techniques, such as
    • Pre-processing (tokenization, part-of-speech tagging, parsing, stemming)
    • Semantic analysis (named entity recognition, sentiment analysis)
    • Modeling and word representations (TF-IDF, LSA, LDA, word2vec)
  • Data engineering skills (deploying analytical solutions across an organization in a production format)
  • Solution design skills (be able to analyze and justify methodology decisions for model development)


Street Address

NC-Charlotte: 11625 N Community House Road - Charlotte, NC
NC-Charlotte: 301 S Tryon St - Charlotte, NC
MN-Minneapolis: 600 S 4th St - Minneapolis, MN
SC-Fort Mill: 3480 State View Blvd - Fort Mill, SC
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
GA-Atlanta: 3579 Atlanta Ave - Atlanta, GA
GA-Atlanta: 171 17th St Nw - 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.



Benefits Summary

Benefits
 

Visit https://www.wellsfargo.com/about/careers/benefits for benefits information.

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