Note: The job is a remote job and is open to candidates in USA. Scalence L.L.C. is seeking a Data Scientist & AI/ML SME to support their cybersecurity risk team. The role involves streamlining processes, improving risk detection, and enhancing decision-making through data-driven solutions, focusing on automating workflows and building predictive models.

Responsibilities

• Create, configure, and deploy automated systems combining AI, ML, RPA bots, Client Power Tools, Databricks, and Splunk to support real-time or near-real-time risk monitoring
• Analyze large, complex datasets (e.g., logs, vulnerability scans, threat intelligence) to uncover patterns and anomalies. Understand and analyze repetitive, time-consuming business processes to determine recommended automation solution using Postal tools
• Write and update code, build custom scripts, integrate AI models into existing infrastructure like Splunk, Databricks, ServiceNow, and Client Power Tools to automate manual risk assessment and reporting processes and improve efficiency and accuracy. Build dashboards and visualizations to communicate insights to technical and non-technical stakeholders
• Monitor and optimize automation performance, troubleshoot errors, and ensure system scalability
• Collaborate with cybersecurity analysts, engineers, and stakeholders to translate business needs into data solutions

Skills

• Experience: 5+ years
• Programming: Proficiency in multiple scripting / coding languages, and API use
• Technology Stack: Tools are listed in priority order. Experience with Client Power Tools, GRC tools, Databricks, Splunk, SharePoint, ServiceNow ticket generation, Okta automation, cloud platforms (AWS, GCP, Azure), AI/ML libraries, database administration, and low-code/no-code tools
• Data Analysis: Ability to analyze large datasets, leveraging multiple tools, to uncover patterns for process optimization
• Ability to analyze and troubleshoot complex data ingestion and parsing issues
• Process Management: Knowledge of Business Process Management (BPM) and workflow optimization
• Education: Bachelor's degree in Computer Science, IT, a related field, or equivalent experience
• Security Experience: Exposure to network security or cybersecurity
• Experience with an RPA (Robotic Process Automation) platform is a plus

Benefits

• W2 option

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