Socure
Data Scientist ll - Digital Intelligence
Hybrid - US
Sponsorship not specifiedDetected 6 days ago
PythonCode ReviewSQLDatabricksMachine LearningTensorFlowPyTorchscikit-learnPandasNumPySparkData ScienceMLOpsStatisticsVPNCommunicationRisk Modeling
About the role
- Socure is the leading provider of digital identity verification and fraud prevention solutions, using AI and machine learning to power accurate identity trust decisions.
- Our mission is to eliminate identity fraud and ensure online trust across industries.
- We are seeking a Data Scientist II to join our Digital Intelligence team.
Responsibilities
- Build features from large-scale, high-cardinality, sparse, noisy, and platform-dependent telemetry.
- Design and execute validation analyses, including train/test splits, holdout checks, leakage review, drift assessment, customer impact analysis, and feature stability review.
- Support junior data scientists and analysts through code review, analytical feedback, and sharing effective modeling and validation practices.
- Partner with senior data scientists, engineering, product, risk, and platform teams to clarify requirements, prepare data, implement features, and support production rollout.
- 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
- Strong proficiency in Python and experience with data science libraries such as pandas, NumPy, scikit-learn, XGBoost, TensorFlow, PyTorch, or similar.
- Experience with distributed data processing tools such as Spark, PySpark, Databricks, or equivalent frameworks.
- Ability to work with noisy data, imperfect labels, missing values, instrumentation gaps, and changing data distributions.
- Experience collaborating with engineering, product, analytics, or risk teams to move data science work toward production or operational use.
- Clear communication skills, including the ability to explain technical work, assumptions, tradeoffs, and results to non-specialist stakeholders.
- Ability to operate independently on defined problem areas while seeking guidance appropriately on ambiguous or high-risk decisions.
Nice to have
- Background in fraud detection, identity verification, trust and safety, anomaly detection, cybersecurity, risk modeling, or another adversarial data domain.
- Experience with device intelligence, browser/mobile fingerprinting, behavioral biometrics, network intelligence, VPN/proxy detection, or telemetry signal processing.
- Familiarity with production ML workflows, model monitoring, feature monitoring, or batch and near-real-time decisioning systems.
- Experience with dashboarding, model explainability, feature documentation, or customer-impact analysis.
- Interest in adversarial behavior, fraud patterns, telemetry quality, and applied ML systems that operate in real-world production environments.
- You will gain deeper experience with device, network, browser, mobile, session, and behavioral intelligence while working closely with senior data scientists, engineering, product, and risk partners.
- 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/
Skills
- Strong SQL skills and experience working with large-scale, complex datasets.
Benefits
- Develop machine learning features, models, and analytical methods for device, network, browser, mobile, session, and behavioral intelligence.
- Work on scoped fraud and identity risk problems where data quality, labels, telemetry coverage, and product tradeoffs need careful analysis.
Company info
- 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.