Sr. Cloud Data Science Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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.

Technology sets IT strategy; enhances the design, development, and operations of our systems; optimizes the Wells Fargo infrastructure; provides information security; and enables Wells Fargo global customers to have 24 hours a day, 7 days a week banking access through in-branch, online, ATMs, and other channels.

Our mission is to deliver stable, secure, scalable, and innovative services at speeds that delight and satisfy our customers and unleash the skills potential of our employees.

The Enterprise Functions Technology (EFT) group provides technology solutions and support for Risk, Audit, Finance, Marketing, Human Resources, Corporate Properties, and Stakeholder Relations business lines. In addition, EFT provides unique technology solutions and innovation for Wells Fargo Technology, Enterprise Shared Services, and Enterprise Data Management. This combined portfolio of applications and tools are continually engineered to meet the challenges of stability, security, scalability, and speed.

Within EFT the Corporate Risk Technology (CRT) group helps all Wells Fargo businesses identify and manage risk. We focus on three key risk areas: credit risk, operational risk and market risk. We help our management and Board of Directors identify and monitor risks that may affect multiple lines of business, and take appropriate action when business activities exceed the risk tolerance of the company.

Within CRT the Calculation Services group is seeking a Sr. Cloud Data Science Engineer to work on qualitative and quantitative risk models for multiple lines of business.

Responsibilities include:

• Standing up cutting-edge analytical capabilities, leveraging automation, cognitive and science-based techniques to manage data and models, and drive operational efficiency by offering continuous insights and improvements.
• Help in design and implementation of algorithms and tools for analytics and data scientist teams.
• Use a variety of languages, tools and frameworks to marry data and systems together.
• Collaborate with modelers, developers, DevOps and project managers on meeting project goals.

Required Qualifications, US:

• 4+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 4+ years of software engineering experience
• 4+ years of experience with building, deploying and securing cloud platforms
• 2+ years of configuration experience with Cloud service providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP) or MS Azure
• 2+ years of Kubernetes experience with GKE, Tanzu or others.
• 2+ years of experience with Big Data or Hadoop tools such as Spark, Hive, Kafka and Map

Desired Qualifications:

• A Masters degree or higher in computer science or finance
• A professional certification in technology
• Basic knowledge of industry regulations related to building technological solutions
• Knowledge and understanding of DevOps principles
• 1+ year of Oracle experience
• 2+ years of experience with H2O software or Keras with TensorFlow

Job Expectations:

• Ability to travel up to 10% of the time