Senior Data Scientist

March 8

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Socure

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Socure is a leading platform for digital identity verification and trust. Utilizing advanced predictive analytics, artificial intelligence, and machine learning technologies, Socure leverages vast online and offline data intelligence including email, phone, address, IP, and device information to verify identities in real-time. Their solutions address challenges in onboarding, login authentication, account takeover prevention, and contact center operations. Socure's AI-powered platform excels in combating identity fraud, ensuring compliance, and enhancing user experiences across various industries such as financial services, eCommerce, online gaming, and crypto.

Fraud Detection • Anti-Money Laundering • Document Verification • Know Your Customer • Identity Verification

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

🔐 Security

💸 Finance

📋 Description

• 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.

🎯 Requirements

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

🏖️ Benefits

• Market competitive salary • Equity • Comprehensive benefits • Commissions plans or annual discretionary performance bonus