Lead Data Science Engineer

Key Skills

Java Programming, Analytical and Problem solving, Python Programming, Framework, SQL, Scrum Agile Methodology, AWS, Big Data Technology, Apache Hadoop, Apache Kafka, Keras software library, TensorFlow, Apache Hive, Google Cloud Platform (GCP), Kanban, SPARK Programming, MLOps tools, VMware Tanzu, Data pipelines, H2O

Job Description

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 Lead AI/ML Platform Engineer to work on migration of model development and validation platforms to the cloud.

In this role, you will:

• 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 supporting the 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:

• 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 2+ years of experience managing AI/ML Platform including data/Model pipelines, MLOps and Model Monitoring.
• 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

Desired Qualifications:

• A Bachelor’s degree or higher in computer science or finance
• Advanced problem solving and technical troubleshooting capabilities
• Experience with Agile Scrum (Daily Standup, Sprint Planning and Sprint Retrospective meetings) and Kanban
• 2+ years of experience with H2O software or Keras with TensorFlow
• 2+ years of experience with Big Data or Hadoop tools such as Spark, Hive, Kafka and Map

Job Expectations:

• Ability to work in a hybrid mode