Staff Data Scientist

Who you are

• This role requires deep technical expertise, strategic ownership, and a commitment to Socure’s leadership principles, including continuous learning, effective communication, and accountability
• 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

What the job involves

• We are seeking a skilled and motivated Staff Data Scientist to join our Fraud & Risk Data Science team
• As an advanced-level individual contributor, you will design, build, and optimize advanced DS/ML models that power our core fraud detection and risk management solutions
• You will lead technical initiatives, mentor peers, and drive functional productivity and project success
• You will work hands-on with advanced deep learning models, driving delivery of impactful solutions for fraud detection, risk management, and identity verification
• 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

• Health: Comprehensive medical coverage, including vision, dental, and FSA
• Parental Leave: Generous leave allowance for parents-to-be
• 401k: Pre-tax savings for retirement
• Life Insurance: Protect your family in case of emergency
• PTO: Take as much time as you need, when you need it
• 100% Remote: Work from anywhere anytime, whatever suits your lifestyle
• WFH Allowance: Generous reimbursement program to maximize your WFH setup
• Deskpass: Work in an office environment whenever you feel the need
• Mental Health Provider: Connect with clinicians when you need it
• Learning & Development: Self-education allowance & free career coaching
• Employee Assistance Program "EAP": Lifestyle resources available as well as additional mental health resources
• Fertility Provider: Family planning solutions for those interested
• Personal Legal Support: Significant discounts with RocketLawyer