Data Scientist II - Big Data R&D, Identity Graph & Deceased Monitoring

The role

You will develop graph-based algorithms and data pipelines on massive PII datasets. You will support the core identity graph and entity-resolution capabilities for Deceased Monitoring and compliance products.

What you will do

• Contribute to the design and implementation of machine learning, data mining, statistical, and graph-based algorithms.
• Analyze large datasets to help develop and refine entity-resolution and identity-matching algorithms.
• Build and maintain components of data-processing pipelines using Spark/PySpark and AWS.
• Support senior data scientists with feature engineering, data exploration, error analysis, and A/B test setup.
• Help evaluate new third-party and internal data sources.
• Implement and maintain SQL and Python/R code for data extraction, transformation, and validation.
• Provide analytical support to compliance and regulatory product teams.
• Communicate findings in a clear, structured way to peers and cross-functional partners.
• Work in a fast-paced, cross-functional environment.

Required qualifications

• Master’s degree with 2+ years of experience, or Ph.D. with 1+ years of experience in a data science or analytics role, or equivalent practical experience.
• Proficiency in at least one general-purpose programming language used in data science (Python, or Scala).
• Solid experience writing and optimizing SQL for large datasets.
• Hands-on experience with Spark or PySpark and common ML libraries.
• Familiarity with UNIX environments and the AWS ecosystem (e.g., EMR, S3).
• Working knowledge of supervised/unsupervised ML and basic statistics.
• Ability to break down loosely defined problems, ask good clarifying questions, and iterate quickly with feedback.

Nice to have

• scikit-learn, XGBoost, TensorFlow/PyTorch a plus
• Databricks experience is a plus
• Exposure to graph techniques or graph databases (Neo4j, AWS Neptune, GraphFrames) is a strong plus
• experience with Elasticsearch or DynamoDB
• workflow tools such as Airflow for automating data pipelines

Before you apply

• sponsorship is not available at this time
• must be located within 45 miles of a talent hub to be considered

About the company

Socure is building the identity trust infrastructure for the digital economy. They verify identities in real time to stop fraud.