Socure
Data Scientist ll - RiskOS
Hub - Miami · Mid
Sponsorship not specifiedDetected 35 days ago
PythonSQLMachine Learningscikit-learnPandasSparkAirflowData EngineeringData ScienceNLPLLMsRAGStatisticsA/B TestingRecruitingHRISCommunicationCollaborationProblem Solving
Stay score
odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 10 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Socure is the leading provider of digital identity verification and fraud prevention solutions, leveraging AI and machine learning to power the most accurate decisions.
- Our mission is to eliminate identity fraud and ensure online trust across industries.
- RiskOS is Socure's AI-powered orchestration and decisioning platform, providing a centralized control plane for identity, fraud, and risk workflows across the customer lifecycle.
Responsibilities
- Own the full data science lifecycle for Workforce Verification use cases on RiskOS-from data exploration and hypothesis generation through model development, evaluation, deployment, and monitoring.
- Design, implement, and iterate on rules, conditions, and heuristic logic in RiskOS workflows to detect high-risk workforce events (e.g., repeated identities across multiple resumes, suspicious device patterns, anomalous hiring flows).
- Collaborate with the RiskOS and Workforce product teams on GenAI-powered features such as the Resume Verification Agent and explanation agents-help define inputs/outputs, build evaluation datasets, and design quantitative and qualitative evaluation frameworks for LLM-based components.
- Partner closely with engineering to productionize models, rulesets, and
- Partner closely with engineering to productionize models, rulesets, and GenAI components within RiskOS: define interfaces, support integration and testing, and contribute to monitoring, alerting, and feedback loops.
- Operate with a product mindset and strong ownership: document assumptions, decisions, and evaluation results; communicate trade-offs clearly; and proactively surface risks, limitations, and opportunities.
- Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts.
Requirements
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field, or equivalent practical experience.
Nice to have
- Direct experience with workforce, HR tech, ATS/HRIS data, or hiring funnel analytics.
- Prior work on identity verification, device intelligence, or orchestration/rules engines (e.g., RiskOS or similar systems).
- Familiarity with evaluation and monitoring of GenAI systems (e.g., offline benchmarks, human-in-the-loop review, safety/hallucination checks).
- Socure is an equal opportunity employer that values diversity in all its forms within our company.
- YouTube https://www.youtube.com/c/Socure | LinkedIn https://www.linkedin.com/company/socure/ | X (Twitter) https://x.com/socureme | Facebook https://www.facebook.com/socure/
- Strong proficiency in Python and SQL, including experience with common data science and ML libraries (e.g., pandas, scikit-learn, XGBoost, PySpark, or similar).
- Strong analytical and problem-solving skills, including comfort reasoning about ambiguous signals and adversarial behavior in fraud or workforce contexts.
Company info
- Incorporate feedback and outcome data from customers to continuously improve Workforce Verification logic and models; support experimentation and offline "test harness" design to safely evaluate new workflows and templates.
- The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
This listing is sourced directly from Socure's careers page and normalized into a canonical job model.