Data Scientist, Machine Learning, Cybersecurity

Lead Specialty Engineer

About this role:

Wells Fargo is seeking a Data Scientist, Machine Learning for Cyber Security. This individual will be building advanced models with the goal of detecting Cyber Security anomalies, reducing false positives in the existing Cyber Security data landscape, and helping improve the overall security posture.

In this role, you will:

• Work with cross functional teams to identify, strategize, and execute Machine Learning initiatives focused on Cyber Security.
• You will be working with the team to design, code, train, test, deploy, and iterate on large scale cloud-native machine learning platforms, focused on cyber security related use cases
• Use Data Science skills to investigate data, develop models and analytics in order to detect and prevent cyber security driven anomalous behaviors
• Use Link Analysis and Graph based analytics to discover account abuse and identify fraudulent activities
• You will be shaping the direction of machine learning and artificial intelligence in Cyber Security at Wells Fargo
• Decision key issues which may arise during development or implementation
• Collaborate and consult with peers, colleagues and managers to resolve and achieve 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 working as a Data Scientist.

Desired Qualifications:

• 2+ years of experience with Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLM) and/or Neural Networks.
• 2+ years of experience with the Machine Learning Development Life Cycle (MDLC).
• 2+ years of experience working with Jupyter notebook, Python, and or PySpark.
• Experience or exposure in Cybersecurity is highly desirable.
• Exposure to cloud technologies / platforms, and cloud-based machine learning certifications are desirable.
• Evidence of real-life experience with end-to-end machine learning projects
• In-depth knowledge of statistics and machine learning (required: supervised and unsupervised learning)
• Understanding of current challenges surrounding artificial intelligence: A.I. ethics, fairness, data leakage, model drift, etc.
• Understanding of Learning subfields:
• Reinforcement learning,
• Multi-task learning,
• Transfer learning, and
• Semi-supervised learning
• Strong grasp of distributed systems and cloud technologies (Azure, Google Cloud Platform, AWS, etc.)
• Understanding of relational databases
• Knowledge of data streaming and messaging frameworks (Kafka, Spark Structured Streaming, Flink, etc.)
• SQL experience (any dialect)
• Experience with containers and container-based deployment environment (Docker, Kubernetes, etc.)

Job Expectations:

• This is not a remote position. Candidates are required to work in the office three (3) days per week at the specified location. Relocation assistance will not be provided.
• Wells Fargo cannot consider individuals for this role who will require immigration assistance either now or in the future

Posting End Date:

29 Oct 2024
*Job posting may come down early due to volume of applicants.

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, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

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

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.