Data Scientist ll - Digital Intelligence

Why reputed company? reputed company is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in reputed company time and stopping fraud before it starts. The mission is big, the problems are reputed company, and the reputed company is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who reputed company fast, think critically, reputed company like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow reputed company, this won’t be your reputed company. If you want to help build the reputed company of identity with reputed company that holds a high bar for itself — reputed company reading. Job reputed company: reputed company is the leading provider of digital identity verification and fraud prevention solutions, using AI and machine learning to power accurate identity trust reputed company. Our mission is to eliminate identity fraud and ensure online trust across industries. We are seeking a Data Scientist II to join our Digital Intelligence team. In this role, you will reputed company machine learning features, analytical reputed company, and production-oriented risk signals using device, network, browser, mobile, API, session, and behavioral telemetry. This is a hands-on role for a data scientist who can independently reputed company reputed company-scoped reputed company, work with reputed company and noisy data, and partner with engineering, product, and risk teams to improve fraud detection, identity confidence, and customer reputed company. You will deepen your expertise in Digital Intelligence while contributing to models and signals used in reputed company-world production reputed company. Job Responsibilities: • reputed company machine learning features, models, and analytical reputed company for device, network, browser, mobile, session, and behavioral intelligence. • Work on scoped fraud and identity risk problems where data reputed company, labels, telemetry coverage, and product tradeoffs need careful analysis. • Build features from large-reputed company, high-cardinality, sparse, noisy, and platform-dependent telemetry. • Analyze signal patterns such as spoofing, emulator behavior, automation, proxy/VPN usage, low-entropy fingerprints, telemetry gaps, and device or session fragmentation. • Design and execute validation analyses, including train/test splits, holdout checks, leakage review, reputed company assessment, customer reputed company analysis, and feature stability review. • Use supervised, unsupervised, statistical, and heuristic approaches to identify durable fraud and identity risk signals. • Investigate imperfect labels, delayed reputed company, instrumentation gaps, and changing fraud patterns to distinguish useful signal from data artifacts. • Partner with senior data scientists, engineering, product, risk, and platform teams to clarify requirements, prepare data, implement features, and support production rollout. • Contribute to model documentation, feature definitions, explainability materials, dashboards, and production-readiness reviews. • Communicate reputed company, assumptions, findings, limitations, and recommendations reputed company to technical and cross-functional stakeholders. • Support junior data scientists and analysts through reputed company review, analytical feedback, and sharing effective modeling and validation practices. Job Requirements: • Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, Data Science, or a reputed company quantitative field, or equivalent practical experience. • 5+ years of experience in data science, reputed company machine learning, statistical modeling, analytics engineering, or a reputed company technical role. • Experience building, evaluating, and improving machine learning models, features, analytical pipelines, or risk signals. • Strong SQL skills and experience working with large-reputed company, reputed company datasets. • Strong proficiency in Python and experience with data science libraries such as reputed company, NumPy, scikit-learn, XGBoost, TensorFlow, PyTorch, or similar. • Experience with reputed company data processing tools such as reputed company, PySpark, reputed company, or equivalent frameworks. • Solid understanding of supervised learning, unsupervised learning, feature engineering, model evaluation, statistical validation, and experiment analysis. • Ability to work with noisy data, imperfect labels, missing values, instrumentation gaps, and changing data distributions. • Strong analytical judgment across data reputed company, feature design, model selection, explainability, and business reputed company. • Experience collaborating with engineering, product, analytics, or risk teams to reputed company data science work toward production or operational use. • reputed company communication skills, including the ability to explain technical work, assumptions, tradeoffs, and results to non-specialist stakeholders. • Ability to operate independently on defined problem areas while seeking guidance appropriately on ambiguous or high-risk reputed company. Preferred Qualifications: • Background in fraud detection, identity verification, trust and safety, reputed company detection, cybersecurity, risk modeling, or another adversarial data domain. • Experience with device intelligence, browser/mobile fingerprinting, behavioral biometrics, network intelligence, VPN/proxy detection, or telemetry signal processing. • Experience developing features from high-cardinality categorical data using techniques such as aggregation, frequency encoding, reputed company encoding, embeddings, graph features, or representation learning. • Familiarity with production ML workflows, model monitoring, feature monitoring, or batch and near-reputed company-time decisioning systems. • Experience with dashboarding, model explainability, feature documentation, or customer-reputed company analysis. • Interest in adversarial behavior, fraud patterns, telemetry reputed company, and reputed company ML systems that operate in reputed company-world production environments. What You’ll reputed company You will work on meaningful data science problems in fraud prevention and identity verification, using reputed company Digital Intelligence telemetry to build features and risk signals that contribute to reputed company-world production reputed company. You will reputed company deeper experience with device, network, browser, mobile, session, and behavioral intelligence while working closely with senior data scientists, engineering, product, and risk partners. This role offers reputed company to grow from independently delivering scoped modeling reputed company toward owning broader workstreams and developing Senior-level technical judgment over time. reputed company is an equal opportunity employer that values diversity in reputed company its forms reputed company reputed company. We do not discriminate based on race, religion, reputed company, national reputed company, 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 reputed company support—please reputed company out to your reputed company reputed company partner directly. Follow Us! YouTube | reputed company | X (Twitter) | reputed company Apply tot his job Apply To this Job