Socure

Socure

Data Scientist II, Fraud & Risk

Hub - San Francisco · Mid

Sponsorship not specifiedDetected 13 days ago
PythonAlgorithmsMachine LearningDeep LearningTensorFlowPyTorchscikit-learnData ScienceNLPLLMsAgentic AILangGraphStatisticsCommunicationProblem SolvingRisk Modeling

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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

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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

  • We are seeking a skilled and motivated Data Scientist II to join our Fraud & Risk Data Science team.
  • As an individual contributor, you will have autonomy in your day-to-day work and play an important role in driving functional productivity and project success.

Responsibilities

  • Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images.
  • Take ownership of assigned tasks, executing technical and functional activities to support project goals with minimal supervision.
  • 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.
  • If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.

Requirements

  • Bachelor's degree with substantial related experience, Master's degree with relevant experience, or equivalent work background in Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images.
  • Proficiency in Python and major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
  • Strong problem-solving skills, with the ability to work independently on straightforward tasks and contribute effectively to project objectives.
  • 2-4 years of hands-on experience developing and deploying deep learning models (such as transformers, CNNs, and LSTMs).
  • Foundational understanding of machine learning algorithms, model evaluation techniques, and data pipeline development.
  • Demonstrated ability to collaborate in a diverse, cross-functional team environment.
  • Excellent written and verbal communication skills.
  • WHY SOCURE?
  • Join a mission-driven company at the forefront of identity verification and fraud prevention.
  • Work on impactful, challenging problems using cutting-edge technology.

Nice to have

  • Experience with model deployment and monitoring in production environments (specific experience with real-time model inferencing is a plus)
  • Experience with LLMs and Agentic AI framework/infrastructure (e.g., LangChain/LangGraph/Ray) is a plus.
  • Experience in fraud prevention, risk modeling, or identity verification is a plus.

Compensation

  • Competitive compensation, equity, and benefits.

Benefits

  • Design, develop, and implement advanced deep learning models, including transformers, CNNs, and LSTMs, to address complex fraud and risk challenges.
  • Participate in all stages of the machine learning lifecycle: data exploration, feature engineering, model training, evaluation, and deployment.
  • Collaborate effectively across teams, sharing knowledge and learning from diverse perspectives to drive results.
  • Stay current with advancements in AI and machine learning, applying innovative approaches to real-world problems.

Company info

  • ROLE OVERVIEW We are seeking a skilled and motivated Data Scientist II to join our Fraud & Risk Data Science team.
  • The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
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This listing is sourced directly from Socure's careers page and normalized into a canonical job model.