Lead Data Scientist - Risk Intelligence & AI jobs in United States
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AppOmni · 4 hours ago

Lead Data Scientist - Risk Intelligence & AI

AppOmni is a company that prevents SaaS data breaches by delivering end-to-end SaaS security. They are seeking a Lead Data Scientist to define and build machine-learning–driven risk scoring and AI-powered security workflows within their platform.

Cloud SecurityCyber SecurityEnterprise SoftwareSaaSSoftware
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H1B Sponsor Likelynote
Hiring Manager
Emma Hage
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Responsibilities

Design and implement data-driven risk scoring and prioritization approaches across SaaS security signals
Lead the development of AI-powered product capabilities, including agentic and LLM-based features that support investigation, triage, and security operations workflows
Define and evolve explainable decision logic so customers understand why issues are prioritized or actions are recommended
Contribute to approaches that assess the potential scope and impact of security issues
Establish evaluation methods to measure model quality, effectiveness, and reliability over time
Incorporate product usage signals and feedback to guide continuous improvement of ML and AI systems
Monitor ML and AI systems in production to ensure stability, safety, and consistent behavior
Partner with Engineering to operationalize models and AI workflows, supporting safe deployment and iteration
Collaborate with Product to shape AI-driven user experiences, ensuring alignment with customer needs and trust expectations
Act as a technical leader and thought partner on applied ML and AI across the product area

Qualification

Statistical modelingMachine learningAI techniquesRisk modelingLLMs familiarityAutomated workflowsMonitoring ML systemsCommunicationTechnical leadership

Required

7–10+ years of experience as a Data Scientist, Applied Scientist, or Machine Learning Engineer, with ownership of production systems
Strong background in statistical modeling, machine learning, and applied decision systems
Experience designing and shipping ML- or AI-driven product features used by customers
Experience applying ML or AI to decision-making systems that influence user workflows or automated outcomes
Experience designing or contributing to agent-like or automated workflows, including reasoning about task decomposition, tool usage, or control flow
Demonstrated ability to design guardrails and human-in-the-loop mechanisms for automated or AI-assisted actions
Experience operating ML or AI systems post-launch, including monitoring behavior, iterating based on feedback, and addressing reliability or trust issues
Familiarity with LLMs and agent-based approaches, with practical awareness of reliability, safety, and evaluation considerations
Experience in security, identity, fraud, or risk modeling domains
Ability to balance automation, explainability, and user trust in customer-facing systems
Experience partnering closely with Product and Engineering to deliver customer-facing capabilities
Strong written and verbal communication skills

Benefits

Home office stipend
Generous paid time off
Paid company holidays
Paid floating holidays
Paid parental leave
Paid sick time and paid family leave for applicable states
Health insurance - medical, dental, and vision with HSA option
LifeWorks Employee Assistance Program
Company-provided life insurance
AD&D
STD/LTD and additional supplemental life insurance options
401(k) and Roth retirement saving accounts
Monthly wellness benefit reimbursement

Company

AppOmni

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AppOmni helps manage SaaS security by detecting risks, monitoring activity, and simplifying access and compliance.

H1B Sponsorship

AppOmni has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2021 (1)

Funding

Current Stage
Growth Stage
Total Funding
$123M
Key Investors
The Syndicate GroupCisco InvestmentsThoma Bravo
2022-12-14Series C
2022-08-09Series Unknown
2022-06-06Series C· $70M

Leadership Team

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Brendan O'Connor
CEO
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Brian Soby
CTO and Co-founder
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Company data provided by crunchbase