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Posted 6 hours agoData Scientist ll - Digital Intelligence
at Socure
United StatesHybrid
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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.
Requirements
- JOB SUMMARY: Socure is the leading provider of digital identity verification and fraud prevention solutions, using AI and machine learning to power accurate identity trust decisions.
- In this role, you will develop machine learning features, analytical methods, and production-oriented risk signals using device, network, browser, mobile, API, session, and behavioral telemetry.
- Requirements: - Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, Data Science, or a related quantitative field, or equivalent practical experience. - 5+ years of
- experience in data science, applied machine learning, statistical modeling, analytics engineering, or a related technical role. -
- Experience building, evaluating, and improving machine learning models, features, analytical pipelines, or risk signals. - Strong SQL skills and
- experience working with large-scale, complex datasets. - 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.
- - Solid understanding of supervised learning, unsupervised learning, feature engineering, model evaluation, statistical validation, and experiment analysis.
- - 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. Preferred
- Experience with device intelligence, browser/mobile fingerprinting, behavioral biometrics, network intelligence, VPN/proxy detection, or telemetry signal processing. -
- Experience developing features from high-cardinality categorical data using techniques such as aggregation, frequency encoding, target encoding, embeddings, graph features, or representation learning. - 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.
- experience with device, network, browser, mobile, session, and behavioral intelligence while working closely with senior data scientists, engineering, product, and risk partners.
Contact
- Follow Us! 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/
Additional details
- WHY SOCURE? 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.
- The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
- We hire people who want that level of responsibility.
- People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision.
- If you want predictability or narrow scope, this won’t be your place.
- If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.
- 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.
- This is a hands-on role for a data scientist who can independently deliver well-scoped projects, work with complex and noisy data, and partner with engineering, product, and risk teams to improve fraud detection, identity confidence, and customer outcomes.
- You will deepen your expertise in Digital Intelligence while contributing to models and signals used in real-world production decisions. Job