
Senior Data Analyst/Scientist
Posted Aug 21

Posted Aug 21
This is a fully remote position, open to applicants in Florida, +9 more states.
β’ Conduct advanced analyses and create intricate data models, insights, and analytics utilizing the Geo-Signals Cloud big data.
β’ Assist in the development of Unacast's data products.
β’ Leverage Snowflake to design effective data models, enhance query performance, and organize data for analytical and product applications.
β’ Create and refine complex SQL queries and data transformations within Snowflake.
β’ Manage large and intricate datasets to facilitate analytics and production data products.
β’ Contribute to data enhancement and quality initiatives.
β’ Identify and communicate data issues encountered during the generation of data and analytics products.
β’ Formulate and implement algorithms to recognize patterns, extract insights, and address complex analytical challenges.
β’ Collaborate with the development team as a vital technical contributor on the Complex Algorithm Team.
β’ Independently lead projects from problem identification through to implementation and delivery.
β’ Travel occasionally as necessary.
β’ Over 5 years of experience in information security.
β’ A minimum of 3 years focused on cloud security in AWS environments.
β’ Profound knowledge of AWS architecture, security services, and best practices for securing cloud applications and data.
β’ Experience in integrating security within engineering, DevOps, and cloud settings.
β’ Strong understanding of network security, encryption technologies, and secure coding standards.
β’ Familiarity with security frameworks, standards, and best practices.
β’ Practical experience with incident response, risk assessment, penetration testing, and security audits.
β’ Understanding of emerging security threats, trends, and new technologies.
β’ Exceptional analytical skills for identifying and mitigating complex security vulnerabilities and risks.
β’ Excellent communication skills to convey complex security topics to both technical and non-technical stakeholders.
β’ Ability to manage multiple priorities in a dynamic, fast-paced environment.
β’ Experience in developing or contributing to acceptable use policies and security guidelines for AI tools, including coding assistants, LLM APIs, and agentic systems.
β’ Knowledge of AI-specific risks, such as prompt injection, data leakage through model providers, model supply chain issues, and security implications of agentic tools with action-taking capabilities.
β’ Capability to assess AI vendors and their data handling practices against compliance requirements.
β’ Candidates must be residents of the continental United States.
β’ Certifications like CISSP or AWS Certified Security Specialty are preferred.
β’ Competitive salaries.
β’ Unlimited PTO.
β’ Reasonable accommodations for any part of the application or hiring process for applicants with disabilities.
β’ Equal employment opportunity.
β’ Confidential handling of accommodation information.
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