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About the Role
The Big Data R&D team builds the core identity graph and entity-resolution capabilities for Socure’s Deceased Monitoring and compliance products. This role involves developing graph-based algorithms and data pipelines on massive PII datasets, supporting modelers with high-quality features, and evaluating new data sources for identity and fraud products. You will collaborate with senior data scientists and engineers, enhancing your skills in large-scale ML, distributed systems, and graph analytics.
Responsibilities
- Contribute to the design and implementation of machine learning, data mining, statistical, and graph-based algorithms for analyzing large datasets in identity verification and anomaly detection.
- Analyze large datasets to develop and refine entity-resolution and identity-matching algorithms for Socure’s Deceased Monitoring and compliance solutions.
- Build and maintain components of data-processing pipelines (ETL, feature generation, normalization) using Spark/PySpark and AWS services like EMR and S3.
- Support senior data scientists with feature engineering, data exploration, error analysis, and A/B test setup for new models and signals.
- Evaluate new third-party and internal data sources by profiling data quality, designing offline experiments, and summarizing impact on coverage and model performance.
- Implement and maintain SQL and Python/R code for data extraction, transformation, and validation, including code reviews and basic testing.
- Provide analytical support to compliance and regulatory product teams through ad hoc investigations, simple dashboards, and data deep dives.
- Communicate findings clearly to peers and cross-functional partners, focusing on key insights and trade-offs.
- Work effectively in a fast-paced, cross-functional environment, demonstrating ownership and follow-through on tasks.
Requirements
- 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; comfort working in data lake / warehouse environments.
- Hands-on experience with Spark or PySpark and common ML libraries (e.g., scikit-learn, XGBoost, TensorFlow/PyTorch a plus).
- Familiarity with UNIX environments and the AWS ecosystem (e.g., EMR, S3); Databricks experience is a plus.
- Working knowledge of supervised/unsupervised ML and basic statistics (similarity measures, clustering, evaluation metrics).
- Exposure to graph techniques or graph databases (Neo4j, AWS Neptune, GraphFrames) is a strong plus.
- Bonus: experience with Elasticsearch or DynamoDB; workflow tools such as Airflow for automating data pipelines.
- Ability to break down loosely defined problems, ask good clarifying questions, and iterate quickly with feedback.
- Must be located within 45 miles of a talent hub.
Skills
- Machine learning
- Data mining
- Statistical algorithms
- Graph-based algorithms
- Identity verification
- Anomaly detection
- Entity-resolution
- Identity-matching
- ETL
- Feature generation
- Normalization
- Spark
- PySpark
- AWS
- EMR
- S3
- Feature engineering
- Data exploration
- Error analysis
- A/B testing
- Data quality profiling
- Offline experiment design
- SQL
- Python
- R
- Code reviews
- Basic testing
- Analytical support
- Ad hoc investigations
- Dashboards
- Data deep dives
- Communication
- UNIX environments
- scikit-learn
- XGBoost
- TensorFlow
- PyTorch
- Databricks
- Supervised ML
- Unsupervised ML
- Basic statistics
- Similarity measures
- Clustering
- Evaluation metrics
- Graph techniques
- Graph databases
- Neo4j
- AWS Neptune
- GraphFrames
- Elasticsearch
- DynamoDB
- Airflow
Location
- Talent Hub (within 45 miles)
Work Type
- Full-time
Experience Level
- 2+ years (Master's)
- 1+ years (Ph.D.)
Education Level
- Master's degree
- Ph.D.
About the Company
- 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.
Equal Opportunity
- Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
- If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.