Socure

3 months ago

Senior Data Scientist - Big Data R&D, Identity Graph & KYC

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Senior Data Scientist I leading end-to-end ML and graph-based solutions for entity resolution, identity trust scoring, and anomaly detection on massive PII datasets. You’ll architect identity graphs, build scalable data pipelines, run A/B tests, evaluate new data sources, and partner with product and engineering to drive KYC and compliance products with measurable impact on coverage, accuracy, and fairness.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Own the design, development, and evaluation of machine learning, statistical, and graph-based algorithms for entity-resolution, identity trust scoring, and anomaly detection on massive datasets.
•Architect and optimize graph-based identity representations (identity graph structure, linkage rules, clustering) to improve match rates, reduce false positives/negatives, and support downstream fraud and KYC models.
•Build and maintain scalable data pipelines and feature stores in Spark/PySpark (or Scala), including data normalization, deduplication, and feature computation across large PII datasets in AWS/Databricks environments.
•Lead A/B tests and offline/online experimentation for new models, features, and data sources; define success metrics, design experiments, and ensure rigorous validation before rollout.
•Evaluate new internal and external data sources: explore signal quality, design backtests, quantify incremental value, and provide clear recommendations on vendor selection and integration.

Pay and Benefits

Salary: USD 140,000 - 170,000 annually

Equity and Bonus:Equity

Perks:Remote WorkEquityAnnual Bonus

Key Requirements

•Master’s degree with 3+ years of relevant industry experience, or Ph.D. with 1+ years of experience in applied ML / data science roles; background in Computer Science, Statistics, Mathematics, or related quantitative fields preferred.
•Strong proficiency in Python (preferred) or Scala, including experience with ML libraries such as scikit‑learn, XGBoost, TensorFlow or PyTorch.
•Extensive experience with Spark or PySpark and distributed data systems (e.g., AWS EMR, Databricks) working on very large, messy datasets.
•Deep understanding of supervised and unsupervised learning, feature engineering, model evaluation, and experiment design (A/B testing, holdout strategies, stratification).
•Experience developing production-quality data pipelines and automated workflows using Airflow or similar orchestration tools.

Experience:3+ yearsBig dataGraph databasesKYCIdentity verificationFraud detection

Education:Master's in Computer Science

Skills:CommunicationLeadershipProblem-solvingCollaboration

Languages:English

Tech Stack:PythonScalaSparkPySparkAWSDatabricksScikit-learnXGBoostTensorFlowPyTorchAirflowNeo4jAWS NeptuneGraphFramesDGLPyTorch GeometricSQL

Company Brief

Socure

Provides AI-driven digital identity verification and fraud prevention solutions that analyze device, behavioral, and contextual data to detect synthetic identities, stop account takeover, and enable secure onboarding for banks, fintechs, and enterprises.

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: New York, United States

Founded: 2012

Glassdoor: 4.1

Website LinkedIn

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Socure

3 months ago

Senior Data Scientist - Big Data R&D, Identity Graph & KYC

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Own the design, development, and evaluation of machine learning, statistical, and graph-based algorithms for entity-resolution, identity trust scoring, and anomaly detection on massive datasets.
•Architect and optimize graph-based identity representations (identity graph structure, linkage rules, clustering) to improve match rates, reduce false positives/negatives, and support downstream fraud and KYC models.
•Build and maintain scalable data pipelines and feature stores in Spark/PySpark (or Scala), including data normalization, deduplication, and feature computation across large PII datasets in AWS/Databricks environments.
•Lead A/B tests and offline/online experimentation for new models, features, and data sources; define success metrics, design experiments, and ensure rigorous validation before rollout.
•Evaluate new internal and external data sources: explore signal quality, design backtests, quantify incremental value, and provide clear recommendations on vendor selection and integration.

Pay and Benefits

Salary: USD 140,000 - 170,000 annually

Equity and Bonus:Equity

Perks:Remote WorkEquityAnnual Bonus

Key Requirements

•Master’s degree with 3+ years of relevant industry experience, or Ph.D. with 1+ years of experience in applied ML / data science roles; background in Computer Science, Statistics, Mathematics, or related quantitative fields preferred.
•Strong proficiency in Python (preferred) or Scala, including experience with ML libraries such as scikit‑learn, XGBoost, TensorFlow or PyTorch.
•Extensive experience with Spark or PySpark and distributed data systems (e.g., AWS EMR, Databricks) working on very large, messy datasets.
•Deep understanding of supervised and unsupervised learning, feature engineering, model evaluation, and experiment design (A/B testing, holdout strategies, stratification).
•Experience developing production-quality data pipelines and automated workflows using Airflow or similar orchestration tools.

Experience:3+ yearsBig dataGraph databasesKYCIdentity verificationFraud detection

Education:Master's in Computer Science

Skills:CommunicationLeadershipProblem-solvingCollaboration

Languages:English

Tech Stack:PythonScalaSparkPySparkAWSDatabricksScikit-learnXGBoostTensorFlowPyTorchAirflowNeo4jAWS NeptuneGraphFramesDGLPyTorch GeometricSQL

Company Brief

Socure

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: New York, United States

Founded: 2012

Glassdoor: 4.1

Website LinkedIn