Lead Cybersecurity Data Scientist
4 weeks ago
About this role:
Wells Fargo is seeking a skilled Data Scientist to join our Cybersecurity team. As a Lead Cybersecurity Data Scientist, you will be responsible for building advanced models to detect Cyber Security anomalies, reducing false positives in the existing Cyber Security data landscape, and improving the overall security posture.
Key Responsibilities:
- Work with cross-functional teams to identify, strategize, and execute Machine Learning initiatives focused on Cyber Security.
- 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 to detect and prevent cyber security-driven anomalous behaviors.
- Collaborate with peers, colleagues, and managers to resolve and achieve goals.
Requirements:
- 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.
Preferred Qualifications:
- Strong grasp of distributed systems and cloud technologies (Azure, GCP, 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.).
Wells Fargo is an Equal Opportunity Employer:
We welcome applications 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.
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