Senior Data Analyst/Scientist

Job not on LinkedIn

šŸ•’ August 20

🐊 Florida, New Jersey, +8 more states – Remote

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šŸ’µ $110k - $130k / year

ā° Full Time

🟠 Senior

šŸ“‰ Data Analyst

šŸ‘» Ghost score 0%

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Unacast

51 - 200 employees

šŸ”Œ API

šŸ¤– Artificial Intelligence

API • Artificial Intelligence

Unacast is a location insights company that empowers data-driven decisions through reliable and accurate location data. Targeting retailers, real estate professionals, and investors, Unacast provides valuable insights that help improve high-leverage decisions such as site selection and retail operations. By analyzing foot traffic patterns and contextualizing this data with demographic and migration analyses, Unacast enables clients to assess opportunities and risks effectively. The company utilizes proprietary data models that incorporate privacy-safe data, AI, and machine learning to deliver accurate insights.

šŸ“‹ Description

• Perform advanced analysis and produce complex data models, insights, and analytics from the Geo-Signals Cloud big data • Support development of Unacast's data products • Use Snowflake to develop efficient data models, optimize query performance, and structure data for analytical and product use cases • Develop and optimize complex SQL queries and data transformations in Snowflake • Work with large and complex datasets to support analytics and production data products • Support data improvement and data quality efforts • Highlight and communicate data issues observed when producing data and analytics products • Develop and apply algorithms to identify patterns, extract information, uncover insights, and solve complex analytical problems • Work alongside the development team as a key technical contributor on the Complex Algorithm Team • Independently drive projects from problem definition through implementation and delivery • Travel occasionally as required

šŸŽÆ Requirements

• 5+ years of experience in information security • At least 3 years concentrated on cloud security within AWS environments • Deep understanding of AWS architecture, security services, and best practices for securing cloud applications and data • Experience integrating security into engineering, DevOps, and cloud environments • Solid knowledge of network security, encryption technologies, and secure coding practices • Experience with security frameworks, standards, and best practices • Hands-on experience with incident response, risk assessment, penetration testing, and security audits • Awareness of emerging security threats, trends, and new technologies • Excellent analytical skills for identifying and mitigating complex security vulnerabilities and risks • Excellent communication skills to translate complex security topics for technical and non-technical stakeholders • Ability to manage multiple priorities in a dynamic, fast-paced environment • Experience developing or contributing to acceptable use policies and security guardrails for AI tools, including coding assistants, LLM APIs, and agentic systems • Familiarity with AI-specific risks, including prompt injection, data leakage through model providers, model supply chain concerns, and security implications of agentic tools with action-taking capabilities • Ability to evaluate AI vendors and their data handling practices against compliance requirements • Candidates must reside in the continental United States • Certifications such as CISSP or AWS Certified Security Specialty are preferred

šŸ–ļø Benefits

• Competitive salaries • Unlimited PTO • Reasonable accommodation for any part of the application or hiring process for applicants living with a disability • Equal employment opportunity • Confidential handling of accommodation information

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