Data Scientist Jobs

About This Role

Wells Fargo is seeking a Lead Specialty Software Engineer - Data Scientist.

This position is responsible for data analytics work within the technology infrastructure environment focused on infrastructure data and services across the global footprint to include network, distributed systems, mainframe, midrange, storage, cloud-based systems, and production services.

You will play a critical role as a data scientist who applies advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems, conduct advanced data analysis and highly complex design algorithms, and analyze and interpret data from various sources that directly contribute to the improvement of at-scale, enterprise infrastructure services. You must be able to effectively prioritize and execute tasks in a dynamic, high-pressure enterprise environment using Agile methodology and practices. The candidate will use previous hands-on experience in machine learning, artificial intelligence, data visualization, user experience design, reporting, coding, and data analytics to take on new infrastructure-based use cases and requirements to develop models as well as document requirements to manage models, aligning with operational policies and procedures, as well as follow standard IT service management practices and processes to deploy into production.

The ideal candidate will be a forward thinker, passionate technologist, and expert in modern data science techniques and tools, and must be comfortable being at the forefront of a rapidly innovative software automation landscape and have the experience to operate across the enterprise technology infrastructure through understanding of available technology, tools, and existing designs, and working on complex problems.

In This Role, You Will

• Manage models to maintain accuracy and validity, conduct bias review, and maintain high service levels for the internal IT community.
• Create clear results and reports that tell a compelling story to improve infrastructure services to include, but not limited to, reduce mean-time-to-recovery (MTTR), anomaly detection, proactive trending and predictive analytics to avoid impacts, pattern, standardize and automate statistical and other analysis to include adoption with service owners.
• Contribute to the vision and high-level technical concepts spanning technology and business lines.
• Champion and support other team members by increasing efficiency, removing blockers, escalating issues, and helping to mentor and grow fellow team members.
• Handle risk and control requirements around the models, focusing on policies, procedures, and work standards to ensure success; re-engineering and driving continual service improvement.
• Add business intelligence reporting capability to create actionable reports and notification tools that can be leveraged by various infrastructure teams to accurately monitor and reflect compliance / non-compliance status at the asset level.
• Consult and collaborate with internal business partners such as product management, technical leads, systems operations, and service and support organizations that own the data and/or service.

Required Qualifications, US:

• 4+ years of experience with machine learning tools
• 5+ 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 experience in one or a combination of the following: securities, quants, artificial intelligence, or machine learning
• 4+ years of experience with machine learning model development

Desired Qualifications:

• Strong analytical skills with high attention to detail and accuracy
• Excellent verbal, written, and interpersonal communication skills
• Experience customizing Splunk Dashboards via the XML source
• 4+ years of reporting experience, analytics experience or a combination of both
• Experience with one or more Agile tools used for tracking user stories or backlogs, such as Confluence or Jira
• Basic knowledge of industry regulations related to building technological solutions
• 4+ years of statistical modeling experience (i.e. Logistic Regression, Machine Learning, Neural Network, etc.)
• Knowledge and understanding of Quality Assurance (QA) methods: unit, load, system, user acceptance, and regression
• A professional certification in technology
• Experience with Agile Scrum (Daily Standup, Sprint Planning and Sprint Retrospective meetings) and Kanban
• 4+ years of experience with design, implementation and governance experience with Artificial Intelligence, Natural Language Processing or Machine Learning architecture
• A Master's degree or higher in computer science or finance

Job Expectations:

• Position will require onsite presence
• Relocation assistance is not available for this position
• This position is not eligible for Visa sponsorship

Pay Range

$138,500.00 - $287,600.00 Annual

Benefits

Wells Fargo provides all eligible full- and part-time employees with a comprehensive set of benefits designed to protect their physical and financial health and to help them make the most of their financial future. Visit Benefits - Wells Fargo Careers for an overview of the following benefit plans and programs offered to employees.

• Health Benefits
• Paid Time Off
• Adoption Reimbursement
• Commuter Benefits
• 401(k) Plan
• Tuition Reimbursement
• Parental Leave
• Discounts and Savings
• Critical Caregiving Leave
• Scholarships for dependent children

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Reference Number

R-283251-1