Socure - Staff Data Scientist
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Requirements
• Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field; or equivalent professional experience. • 8+ years of experience in data science, machine learning, or related fields, ideally in a high-growth tech or fintech environment. • Experience in fraud prevention, risk modeling, or identity verification. • Years of hands-on experience developing and deploying deep learning models (such as transformers, CNNs/RNNs, and graph learning). • Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images. • Strong proficiency in Python, SQL, and major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn) • Deep understanding of machine learning algorithms, model evaluation techniques, and data pipeline development. • Experience with model deployment and monitoring in production environments (specific experience with real-time model inferencing is a plus) • Experience with LLMs and Agentic AI framework/infrastructure (e.g., LangChain/LangGraph/Ray) is a plus. • Demonstrated ability to proactively deliver complex outcomes, mentor others, and influence cross-functional decisions. • Excellent communication skills with the ability to translate complex data problems into actionable business insights for both technical and non-technical audiences. • Commitment to continuous learning, professional integrity, and high standards of business ethics. • Please note: we are unable to provide sponsorship now, or in the future.
Responsibilities
• Design, develop, and implement advanced deep learning models, including transformers, CNNs/RNNs, and graph learning algorithms, to address complex fraud and risk challenges. • Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images. • Lead the end-to-end machine learning lifecycle: data exploration, feature engineering, model training, evaluation, deployment, and monitoring in production environments. • Take ownership of project outcomes, data quality, and delivery timelines; proactively escalate issues and work collaboratively to resolve challenges. • Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning. • Collaborate cross-functionally with Product, Engineering, and Risk teams to define data requirements and drive insights that guide strategic decisions. • Conduct in-depth research to explore new data sources and develop novel algorithms that advance the state of the art in fraud detection. • Present findings and recommendations to technical and executive stakeholders with clarity and influence. • Stay current with advancements in AI and machine learning, applying innovative approaches to real-world problems. • Model Socure’s embedded leadership competencies: continuous learning, effective communication, accountability, team development, decision making, and managing change.
Benefits
• Intern Range$25 – $35 per hour • 12-16 weeks - Summer 2026 • DS II Range$140K – $170K • Offers Equity • Offers Bonus • Staff Range$180K – $210K • 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 Yes: Candidates on H1, L1, O1, visas that will require sponsorship now or in the future. • Mark Yes: Candidates on F1, OPT, or other visas that will eventually require employer support or sponsorship. • A brief intro is fine! • This is helpful in evaluating your fit for the team. • Unfortunately we are unable to hire employees living in these states. • Socure's Recruiting Privacy Policy • We like to get together in person when possible! Eligible Hub Locations: • San Francisco, CA • 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
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