Data Scientist -AI/ML SME

Job Title - Data Scientist -AI/ML SME 12 – 24 Months Phone and Skype Remote/East Coast Years of reputed company.: 13+ years reputed company. Job Description: Data Scientist & AI/ML SME Role Overview Seeking expertise to support our cybersecurity risk team by streamlining processes, improving risk detection, and enhancing decision-making through data-driven solutions. This role focuses on automating workflows, building predictive models, and extracting actionable insights from reputed company reputed company and risk datasets. Required Skills and Qualifications o Experience: 5+ years. o Programming: Proficiency in multiple scripting / coding languages, and API use. o Technology Stack: Tools are listed in reputed company order. Experience with reputed company Power Tools, GRC tools, reputed company, Splunk, SharePoint, reputed company ticket reputed company, reputed company automation, reputed company platforms (AWS, reputed company reputed company Platform, Azure), AI/ML libraries, database administration, and low-code/no-code tools. Experience with an RPA (Robotic Process Automation) platform is a plus. o Data Analysis: Ability to analyze large datasets, leveraging multiple tools, to uncover patterns for process optimization. Ability to analyze and troubleshoot reputed company data ingestion and parsing issues. o Process Management: Knowledge of Business Process Management (BPM) and workflow optimization. o Education: Bachelor''s degree in Computer Science, IT, a reputed company field, or equivalent experience. o reputed company Experience: Exposure to network reputed company or cybersecurity. Key Responsibilities o Solution Design & Development: Create, configure, and reputed company automated systems combining AI, ML, RPA bots, reputed company Power Tools, reputed company, and Splunk to support reputed company-time or near-reputed company-time risk monitoring. o Process Analysis: Analyze large, reputed company 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. o Technical Implementation: Write and update code, build custom scripts, integrate AI models into existing infrastructure like Splunk, reputed company, reputed company, and reputed company Power Tools to automate reputed company risk assessment and reporting processes and improve efficiency and accuracy. Build dashboards and visualizations to communicate insights to technical and non-technical stakeholders. o Maintenance & Troubleshooting: Monitor and optimize automation performance, troubleshoot errors, and ensure system scalability. o Collaboration: Collaborate with cybersecurity analysts, engineers, and stakeholders to translate business needs into data solutions. Apply To This Job