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 leader in digital identity verification and fraud prevention, with numerous awards such as Forbes 2022 America’s Best Startup Employers, The Forbes Cloud 100, The Deloitte Technology Fast 500, and Inc. 5000’s fastest growing companies.

Overview: The Data Science Fraud team is responsible for developing cutting-edge Fraud & Risk products to detect identity theft, synthetic identities, first-party fraud, etc., building machine learning models using the latest ML algorithms and technologies, building data-processing pipelines, evaluating the performance of new data sources, and providing analytical support to the Fraud and Risk product suite.

Responsibilities:

• Develop machine learning, data mining, statistical, and graph-based algorithms designed to analyze massive data sets, uncovering key insights in fraud and risk patterns.
• Collaborate closely with Cloud technologists to ensure algorithms are properly implemented and optimized for scale within cloud environments.
• Analyze large data sets to develop multiple, custom models and algorithms to drive innovative correlations for fraud and acceptance data as well as social data.
• Implement new data modeling solutions and improvements to existing solutions.
• Integrate new data sources and API third-party products in the main framework.
• Work with Big Data technologies using Spark.
• Provide analytical support to the data science team.
• Own and drive projects from conception to completion.
• Collaborate with data scientists, engineers, and other key stakeholders.
• Work well in a fast-paced cross-functional environment.

Qualifications:

Education:

• ME/MSc in Computer Science, Industrial Engineering, Electrical Engineering, Operations Research, Mathematics, Statistics, or a related field, or equivalent work experience. PhD strongly preferred.

Experience:

• A minimum of 4 years of industry experience working in a similar role.
• PhD + a minimum of 2 years of industry experience working in a similar role is strongly preferred.
• Proficient in developing machine learning models and data-driven algorithms in information retrieval, relevance, or machine learning.
• Extensive experience with Hadoop, Spark, and other distributed systems.
• Familiarity with graph technology, including graph databases and graph-based algorithms, for analyzing and interpreting complex networks.
• Strong programming skills in Python (especially pySpark) and a good working knowledge of SQL.
• Experience working with AWS, Databricks, and other Big Data tools.
• Excellent problem-solving and analytical skills.

Nice to have:

• Dashboard development experience (Looker, Tableau, etc.).
• Experience with data workflow managers such as Airflow, Mlflow, Drake, or Luigi.
• Programming experience in Scala, Java.
• Experience with containerization (Docker).

Salary Disclosure:

• Base Salary range: $130,000 - $160,000
• 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, commissions 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. 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 about their work and impact on the industry, check out these resources:

• Forbes' 2022 Best Startup Employer
• Accelerates Onboarding for 50+ Crypto, Neobanks, and More
• Impact on Financial Inclusion
• Impact on Fraud Prevention
• Archives & Press Releases

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.