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# Tech Lead - Data Scientist

- **Company:** Obsidian Security, Inc.
- **Location:** Newport Beach, CA, United States
- **Experience:** Expert
- **Salary:** $220,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Audit Trail, Data Security, Data Systems, Github, Graph Database, Python (Programming Language), Machine Learning, Salesforce.Com, Enterprise Software Applications, Workday
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/65842403-70a6-4a7d-9593-895c2c9f6979

## About the Role

* 6+ years of experience in data science, machine learning, or applied research, preferably with 2+ years in a technical leadership role.
 * A track record of shipping production ML or data systems at scale - ideally systems involving ontologies, knowledge graphs, entity resolution, or semantics over heterogeneous data sources.
 * Expert-level proficiency in Python and modern ML/data tooling.
 * Working knowledge of core security domains, or a strong ability to learn.
 * Experience formulating fuzzy business or security problems as concrete ML/data problems:

 * able to decompose ambiguous, ambitious problems into well-scoped subproblems and design experiments with statistical rigor.
 * comfortable being scrappy and diving deep into vendor documentation, APIs, and audit logs to find the necessary data sources

 * Excellent written and verbal communication skills; ability to engage credibly with technical security practitioners at large enterprises.

## Description

We are looking for a Technical Lead to drive the development of Obsidian's core ontology that powers our groundbreaking unified security config analysis, AI security, and threat detection product.

 * Scale this ontology as part of a team of 3-6 software engineers and data scientists to cover hundreds or thousands more enterprise application platforms. Drive automation of repeatable R&D subtasks.
 * Become an expert on foundational identity, authentication, authorization, network, and data security concepts. An unhealthy dose of curiosity about the design and administration - technology, people, and process - of complex application platforms such as GitHub, Salesforce, and Workday is a must. You will love exploring rabbit holes into esoteric domain knowledge related to these topics.
 * Formulate security problems as data and ML problems, constantly addressing and refining the customer outcome in collaboration with top-flight security teams from Global 1000 companies.


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