Predictive analytics and machine learning power our client's groundbreaking technology and fuel their mission to verify 100% of good identities in real time and completely eliminate identity fraud on the internet.

Our client is a world leader in digital identity verification and fraud prevention. Their recent awards include Forbes 2022 America’s Best Startup Employers, The Forbes Cloud 100, The Deloitte Technology Fast 500, and Inc. 5000’s fastest-growing companies.

Listen to why some of the world’s top technology investors see the enormous, transformative potential in our client’s mission and products:

[Link to YouTube video]

Overview

Our client is the leading platform for digital identity verification and trust. Their predictive analytics platform applies artificial intelligence and machine learning technology with trusted online/offline data intelligence from email, phone address, IP, device, velocity, and the broader internet to verify identities in real-time.

They are currently looking for a Data Scientist to join their Verify team, based remotely anywhere in the USA. The Verify team is responsible for developing cutting-edge entity-resolution algorithms, using graph techniques on massive datasets for entity searching and matching.

This role involves building the foundation of many data-driven teams and products, generating new features for fraud prevention, building probabilistic models for identity matching, automating data-processing pipelines, evaluating the performance of new data vendors, and providing analytical support to the compliance and regulatory product suite, including a highly acclaimed Know-Your-Customer (KYC) product.

Responsibilities:

• Analyze large data sets to develop identity graphs, optimize graph structure, and build algorithms to drive innovative identity-verification solutions.
• Focus on product improvement, resolve key points to help identify key challenges and provide feedback and solutions to clients.
• Apply machine learning in analysis, conduct data mining, utilize statistical analysis, and build graph-based algorithms designed to analyze massive data sets.
• Understand and resolve computational limitations related to parallelizing algorithm application and data processing.
• Develop and improve models, and perform A/B testing analysis of production data.
• Provide analytic support to the compliance-product teams.
• Report on project status to senior management.
• Work well in a fast-paced cross-functional environment.

Requirements:

• Master’s degree with 3+ years of experience or Ph.D. with 1+ years of experience working in a data science/engineer analytical role.
• Experience in developing data-driven algorithms in information retrieval, relevance, or machine learning and working with distributed systems.
• Programming skills in Python, R, or Scala, SQL, and Pysql.
• Familiarity with Spark/PySpark, common ML libraries, and the AWS ecosystem, including EMR and S3.
• Experience with data mining, unsupervised machine learning algorithms, and statistical tools and underlying theory.
• Experience in developing data pipelines and automated workflows.
• Additionally, experience with Neo4j/AWS Neptune (graph tools and databases analyzing large data sets to extract value), Elasticsearch or DynamoDB, and Airflow for automating data pipeline and workflow or equivalents is a big plus!

Salary Disclosure:

Base Salary range: $125,000 - $150,000

This represents the expected salary range for this job requisition. Final offers may vary from the amount listed based on factors including geography, candidate experience and expertise, and other job-related factors. Our client's compensation and rewards package for full-time roles includes a market competitive salary, equity, comprehensive benefits, and, for applicable roles, commission plans or an annual discretionary performance bonus.

Our client encourages people to push the boundaries of what’s possible through top-tier performance, innovation, ownership, and shared expertise.

Perks and Benefits:

They empower excellence by providing great perks and benefits to both their fully remote employees in North America and their hybrid teams in India.

To learn more, check out their Career Page: [Link to Career Page]

Our client is an equal-opportunity employer and values diversity of all kinds at their company. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Learn More:

• Our client is Forbes' 2022 Best Startup Employer: [Link]
• Accelerates Onboarding for 50+ Crypto, Neobanks, and More: [Link]
• Impact on Financial Inclusion: [YouTube Link]
• Impact on Fraud Prevention: [YouTube Link]
• Archives & Press Releases: [Link]