Socure - Senior Data Scientist - Digital Intelligence, Device Signals
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
Requirements
• Master’s degree (or equivalent practical experience) in Computer Science, Machine Learning, Statistics, or a related quantitative field. • 6+ years of experience in data science or applied machine learning, including experience working in production environments. • 6+ years • Excellent SQL skills and extensive experience with large-scale databases and data modeling. • Proven track record of deploying and maintaining ML models in live systems, ideally involving streaming or near-real-time data. • Proficiency in Python and distributed computing tools (e.g., Spark, PySpark). • Hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or similar. • Excellent communication skills—able to explain complex technical results to non-technical stakeholders and senior leadership. • Experience designing and interpreting experiments, working with real-world noisy datasets, and applying sound validation techniques to assess model robustness. • Demonstrated ability to break down ambiguous problems, apply analytical rigor, and uncover meaningful insights that influence product or risk strategies. • Strong judgment across data quality, model selection, and business impact tradeoffs. • Collaborative mindset and experience working cross-functionally with product, engineering, and analytics teams. • Background in fraud detection, behavioral biometrics, anomaly detection, or adversarial modeling. • Experience with high-cardinality feature engineering techniques (e.g., frequency/target encoding, embeddings). • Familiarity with privacy-preserving or robust ML techniques. • Knowledge of browser/mobile fingerprinting, VPN/proxy detection, or telemetry signal processing. • What You’ll Gain • What You’ll Gain • Hands-on experience with real-world data science challenges in a high-impact industry. • A collaborative and inclusive work environment that fosters learning and growth. • Opportunities to grow into staff-level or technical leadership roles over time.
Responsibilities
• Design and deploy advanced machine learning systems for device identification, anomaly detection, and fraud prevention—balancing precision, recall, and real-world adversarial dynamics. • Contribute to the development of scalable data pipelines and production ML workflows using structured and unstructured telemetry (e.g., browser, mobile, session data). • Investigate high-complexity signals (e.g., emulator use, spoofing, low-entropy fingerprints), applying advanced statistical methods and domain knowledge to detect fraud and abuse. • Translate ambiguous business problems into modeling approaches, using a combination of supervised, unsupervised, and heuristic techniques. • Partner with engineering, product, and risk teams to contribute to data architecture decisions, signal collection, and planning. • Drive experimental design, A/B testing frameworks, and robust validation techniques to ensure model generalizability and long-term trust. • Contribute to team standards for ML explainability, risk evaluation, and feature logging. • Document methodologies and communicate results effectively through dashboards, presentations, and reports for both technical and executive audiences. • Mentor junior data scientists and participate in cross-functional working groups.
Benefits
• $150K – $185K • Offers Equity • Offers Bonus • This is a base salary range for this job based on the job requirements. • Base pay is only one component of Socure's compensation and our total rewards package includes equity, benefits, and an annual bonus or a commission plan. • annual bonus • commission plan. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • Mark No: Candidates on F1, OPT, or H1 visas that will require sponsorship now or in the future. • A brief description is fine - this is a hard requirement for the role! • Unfortunately we are unable to hire employees residing in these states. • We like to get together in person when possible! Eligible Hub Locations: • San Francisco, CA • Socure's Recruiting Privacy Policy • Decline to self-identify • Hispanic or Latino - A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin regardless of race. • Hispanic or Latino • White (Not Hispanic or Latino) - A person having origins in any of the original peoples of Europe, the Middle East, or North Africa. • White • Black or African American (Not Hispanic or Latino) - A person having origins in any of the black racial groups of Africa. • Black or African American • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) - A person having origins in any of the peoples of Hawaii, Guam, Samoa, or other Pacific Islands. • Native Hawaiian or Other Pacific Islander • Asian (Not Hispanic or Latino) - A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian Subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. • Asian • American Indian or Alaska Native (Not Hispanic or Latino) - A person having origins in any of the original peoples of North and South America (including Central America), and who maintain tribal affiliation or community attachment. • American Indian or Alaska Native • Two or More Races (Not Hispanic or Latino) - All persons who identify with more than one of the above five races. • Two or More Races • Hispanic or Latino • White (Not Hispanic or Latino) • Black or African American (Not Hispanic or Latino) • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) • Asian (Not Hispanic or Latino) • American Indian or Alaska Native (Not Hispanic or Latino) • Two or More Races (Not Hispanic or Latino) • I identify as one or more of the classifications of protected veteran listed above • I am not a protected veteran
No credit card. Takes 10 seconds.