Socure Logo

Socure

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

Reposted 13 Days Ago
Remote or Hybrid
2 Locations
140K-170K Annually
Mid level
Remote or Hybrid
2 Locations
140K-170K Annually
Mid level
The role involves developing graph algorithms, data pipelines for identity verification, and supporting data analysis for compliance products.
The summary above was generated by AI
Why Socure?

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.

About the Role

The Big Data R&D team is responsible for building the core identity graph and entity-resolution capabilities that power Socure’s KYC and compliance products. In this role, you will help develop graph-based algorithms and data pipelines on massive PII datasets, support modelers with high-quality features, and evaluate new data sources that feed our identity and fraud products. You will work closely with senior data scientists and engineers while developing your skills in large-scale ML, distributed systems, and graph analytics.

What You'll Do
  • Contribute to the design and implementation of machine learning, data mining, statistical, and graph-based algorithms to analyze very large datasets for identity verification and anomaly detection.

  • Analyze large datasets to help develop and refine entity-resolution and identity-matching algorithms that drive Socure’s KYC and compliance solutions.

  • Build and maintain components of data-processing pipelines (ETL, feature generation, normalization) using tools such as Spark/PySpark and AWS (e.g., EMR, S3).

  • Support senior data scientists with feature engineering, data exploration, error analysis, and A/B test setup for new models and signals.

  • Help evaluate new third‑party and internal data sources: profile data quality, design offline experiments, and summarize impact on coverage and model performance.

  • Implement and maintain SQL and Python/R code for data extraction, transformation, and validation; contribute to code reviews and basic testing.

  • Provide analytical support to compliance and regulatory product teams, including ad hoc investigations, simple dashboards, and data deep dives.

  • Communicate findings in a clear, structured way to peers and cross‑functional partners (Product, Engineering, Client Analysis), focusing on key insights and trade‑offs.

  • Work effectively in a fast‑paced, cross‑functional environment; demonstrate ownership of well-scoped tasks and follow through to completion.

What You Bring
  • 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.

Please note that sponsorship is not available at this time; and that you must be located within 45 miles of a talent hub to be considered.

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.

Follow Us!

YouTube | LinkedIn | X (Twitter) | Facebook

Similar Jobs

7 Minutes Ago
Remote or Hybrid
GA, USA
Senior level
Senior level
Financial Services
Lead B2B travel sales across small, medium, and enterprise markets. Manage full sales cycle, use CRM, prospect and close deals, analyze data, represent CTCS at industry events, deliver presentations, oversee implementation, ensure customer satisfaction, and support training and operational projects. Requires ~25% travel.
11 Minutes Ago
Remote
TN, USA
290K-398K Annually
Senior level
290K-398K Annually
Senior level
Artificial Intelligence • Machine Learning
Lead enterprise sales for Fortune 500/Global 2000 accounts, drive multi-million-dollar AI SaaS deals, own full sales cycle from C-suite prospecting to close, build ROI-driven business cases, orchestrate cross-functional teams, and deliver $2M-$4M ARR annually while maintaining robust pipeline coverage.
Top Skills: Ai/MlAWSCloudData PlatformsDatabricksSaaSSalesforceSnowflake
15 Minutes Ago
Remote
United States
201K-237K Annually
Senior level
201K-237K Annually
Senior level
Artificial Intelligence • Marketing Tech • Software • Generative AI • Automation
Partner with large enterprise customers to define AI strategies, prioritize high-impact use cases, drive enterprise adoption, measure outcomes, and lead cross-functional teams to realize business value from generative AI.
Top Skills: Ai AgentsGenerative AiJasperMarketing TechnologySaaS

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account