Senior Data Scientist (Big Data)

TL;DR

Senior Data Scientist (Big Data): Designing and deploying advanced ML and graph algorithms for entity resolution and identity matching within a large-scale PII ecosystem with an accent on graph-based identity representations and scalable data pipelines. Focus on optimizing match rates, reducing false positives/negatives, and implementing rigorous A/B testing for identity trust scoring.

Location: Remote (US), but must be located within 45 miles of a hirify.global talent hub

Salary: $140,000 - $170,000

Company

hirify.global builds identity trust infrastructure for the digital economy, verifying identities in real-time to stop fraud and enable secure digital transactions.

What you will do

• Own the design and evaluation of ML, statistical, and graph-based algorithms for entity resolution and anomaly detection on massive datasets.
• Architect and optimize graph-based identity representations to improve match rates and support KYC models.
• Build and maintain scalable data pipelines and feature stores using Spark/PySpark in AWS/Databricks environments.
• Lead A/B tests and offline/online experimentation, defining success metrics and ensuring rigorous validation before rollout.
• Evaluate internal and external data sources to quantify incremental value and provide vendor selection recommendations.
• Collaborate with product and engineering teams to translate regulatory requirements into concrete modeling and data roadmaps.

Requirements

• Master's degree with 3+ years of industry experience, or Ph.D. with 1+ years in applied ML/data science roles.
• Strong proficiency in Python or Scala, and ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Extensive experience with Spark/PySpark and distributed systems like AWS EMR or Databricks.
• Deep understanding of supervised/unsupervised learning, feature engineering, and experiment design.
• Experience developing production-quality data pipelines using Airflow or similar orchestration tools.
• Must be located within 45 miles of a talent hub in the US; sponsorship is not available.

Nice to have

• Familiarity with graph databases and frameworks (Neo4j, AWS Neptune, GraphFrames, DGL, PyTorch Geometric).
• Experience in identity verification, fraud detection, or credit risk domains.

Culture & Benefits

• Opportunity to work on complex, high-impact problems with a high technical bar.
• Ownership-driven environment where critical thinking and speed are valued.
• Collaborative culture focusing on precision and solving real-world customer problems.
• Commitment to diversity, equity, and inclusion as an equal opportunity employer.