Data Analyst/Scientist

Unacast Inc.
United States
2 days ago
Apply on startup.jobs
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$110,000.0 - $130,000.0
Working hours
Regular working hours
Job source

Tech stack

Query Performance Artificial Intelligence Amazon Web Services Software System Penetration Testing Big Data Cloud Computing Cloud Computing Security Cyber Security Data Governance Information Leak Prevention Data Transformation Data Retention
+12 more
Data Visualization DevOps Network Security Machine Learning Operational Databases Secure Coding Systems Integration Freeform SQL Cloud Platform System Sql Optimization Large Language Models Snowflake

Job description

Are you ready to dive into the world of big data and complex algorithms? We’re seeking a Senior Data Analyst/Scientist to become a key technical contributor on our Complex Algorithm Team. If you’re passionate about solving complex business and technical problems, working with large-scale data, streamlining data processes, and transforming intricate data into actionable insights, this is the opportunity for you! You’ll be working alongside a talented development team, using your advanced SQL and Snowflake expertise, statistical analysis, machine learning, and data visualization to develop and optimize innovative data products and solutions. The ideal candidate brings strong technical depth and the ability to independently drive projects from problem definition through implementation and delivery.

What You Will Do:

  • Perform advanced analysis and produce complex data models, insights, and analytics from our Geo-Signals Cloud (big data) in support of the development of our data products.
  • Leverage Snowflake for developing efficient data models, optimizing query performance, and ensuring data is structured appropriately for analytical and product use cases.
  • Develop and optimize complex SQL queries and data transformations in Snowflake, working with large and complex datasets to support analytics and production data products.
  • Support data improvement and data quality efforts by highlighting and communicating 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 from complex and noisy datasets.

Requirements

  • 5+ years of experience in information security, with at least 3 years concentrated on cloud security within AWS environments. Certifications (e.g., CISSP, AWS Certified Security Specialty, etc.) are preferred.
  • 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, including hands-on experience with incident response, risk assessment, penetration testing, and security audits.
  • Awareness of emerging security threats, trends, and new technologies impacting the field.
  • Excellent analytical skills for identifying and mitigating complex security vulnerabilities and risks.
  • Excellent communication skills with the ability to translate complex security topics for both technical and non-technical stakeholders.
  • Organized and able to manage multiple priorities in a dynamic, fast-paced environment.
  • A roll-up-your-sleeves mentality, eager to own, build, and execute security initiatives at all levels
  • Experience developing or contributing to acceptable use policies and security guardrails for AI tools (coding assistants, LLM APIs, agentic systems) in a corporate or engineering environment.
  • Familiarity with AI-specific risks including prompt injection, data leakage through model providers, model supply chain concerns, and the security implications of agentic tools with action-taking capabilities.
  • Ability to evaluate AI vendors and their data handling practices (training opt-outs, data retention, regional processing) against compliance requirements.

What we expect of you

  • Demonstrate a proactive and entrepreneurial mindset.
  • Contribute to a positive and enjoyable work environment.
  • We operate like a startup, so things change fast, you need to be agile and proactive.
  • Personal characteristics we value include: high integrity, entrepreneurial spirit, innovative thinking, team player, passion for technology, adaptability, high energy and attention to detail.

Benefits & conditions

We offer competitive salaries and benefits and unlimited PTO. The typical base salary range for this role is $110,000 to $130,000. Ranges are based on various factors including the labor market, job type, job level, internal equity and budget. Exact salary offers will be determined by factors such as the candidate’s skills, qualifications, experience and geographic location.

About the company

Unacast is a leading provider of global location intelligence that delivers cutting-edge analytics about human mobility in the physical world. We are a team of experts with decades of unmatched industry experience and we partner with organizations across the private and public sectors to unlock the potential of location data. Unacast drives smarter decision-making based on trustworthy, reliable, and privacy-friendly location intelligence that powers both commercial and societal benefits.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on startup.jobs
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

5:17 min

Prioritizing security and technical craftsmanship in modern AI engineering

Florian Deter Florian Deter +4 · World Congress 2026 Europe

Videos

See all

Related articles

See all