Senior Data Scientist, Socure
Fraud Data Infrastructure & Automation
$170-200k
Offers Equity & Bonus
More information about location
Digital ID verification & fraud protection
Open for applications
Digital ID verification & fraud protection
501-1000 employees
Open for applications
$170-200k
Offers Equity & Bonus
More information about location
501-1000 employees
Company mission
To verify 100% of good identities in real-time and completely eliminate identity fraud on the internet.
Role
Who you are
- This is an advanced individual-contributor role (IC4 / Senior) that requires deep technical expertise, strong business judgment, and alignment with Socure’s leadership competencies, including continuous learning, effective communication, accountability, team development, decision making, and managing change
- Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field; or equivalent professional experience
- 5+ years of experience in data science, machine learning, or closely related roles, ideally in a high-growth tech or fintech environment
- Experience in fraud prevention, risk modeling, or identity verification, including working with noisy, adversarial, or high-risk data environments
- Proven experience working with large, messy, real-world datasets to generate insights and drive measurable business impact (not limited to pure model development)
- Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images, and selecting appropriate modeling approaches for each
- Strong proficiency in Python and SQL, with hands-on experience using major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn) for model development and evaluation
- Deep understanding of machine learning algorithms, model evaluation techniques (e.g., AUC, lift, calibration, stability), and data pipeline development for both batch and near-real-time use cases
- Experience building and maintaining data pipelines and workflows in distributed or large-scale environments (e.g., Spark, Airflow, Databricks, or similar technologies)
- Demonstrated ability to evaluate and work with third-party data vendors or external datasets, including designing tests for data quality, coverage, stability, and incremental lift over existing signals
- Experience with LLMs and agentic AI frameworks/infrastructure (e.g., LangChain, LangGraph, Ray) is strongly preferred; ability to design or extend agentic workflows for analytics and data quality use cases is a plus
- Demonstrated ability to proactively deliver complex outcomes, lead technical workstreams, mentor others, and influence cross-functional decisions without formal authority
- Excellent written and verbal communication skills, with the ability to translate complex data problems and model behavior into actionable business insights for both technical and non-technical audiences
- Commitment to continuous learning, professional integrity, and high standards of business ethics, consistent with Socure’s leadership expectations
What the job involves
- We are seeking a highly analytical and impact-driven Senior Data Scientist to join our Data Science Data team at Socure
- In this role, you will work at the intersection of data, fraud risk, and identity verification, transforming raw, complex datasets into actionable insights that directly improve our products and decisioning systems
- You will own high-impact projects end to end: designing scalable data pipelines, building and evaluating models, and leading analytical deep-dives that shape how we use data to detect fraud and validate identity
- You will also leverage emerging approaches, including agentic AI and LLM-powered systems, to automate data analysis, accelerate insight generation, and scale how we evaluate identity data and detect fraud patterns
- Design, build, and maintain scalable data pipelines and workflows to support analytics, fraud detection, model development, and ongoing data monitoring (e.g., using Spark, Airflow, or similar distributed systems)
- Leverage and build agentic AI and LLM-powered systems to automate data exploration, anomaly detection, vendor evaluation, and investigative workflows, increasing the speed and depth of insight generation
- Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images, in support of fraud detection and identity verification use cases
- Own data quality and integrity for critical datasets, implementing monitoring, validation checks, and anomaly detection to ensure reliable input to models and downstream decision systems
- Take ownership of project outcomes from scoping through delivery, managing data quality, technical trade-offs, and timelines; proactively escalate risks and work cross-functionally to resolve challenges
- Evaluate and integrate third-party data vendors and external datasets, including designing experiments to assess data quality, coverage, lift, and long-term value for Socure’s models and products
- Collaborate closely with Product, Engineering, and Risk teams to define data requirements, shape roadmap priorities, and deliver insights that guide strategic decisions for fraud and identity products
- Conduct in-depth research to explore new data sources and develop novel algorithms and features that advance the state of the art in fraud detection, identity resolution, and risk scoring
- Lead the end-to-end ML/analytics lifecycle for assigned projects: problem definition, data exploration, feature engineering, modeling, evaluation, deployment handoff, and post-deployment monitoring where applicable
- Present findings, trade-offs, and recommendations to technical and executive stakeholders with clarity and influence, adapting communication for audiences ranging from engineers to non-technical business leaders
- Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning aligned to Socure’s leadership competencies
- Stay current with advancements in AI, machine learning, and data infrastructure (including LLMs and agentic frameworks), and apply innovative techniques to real-world fraud and identity problems
- Model Socure’s embedded leadership competencies in day-to-day work: continuous learning, effective communication, accountability, team development, decision making, and managing change
Our take
Socure is an identity platform that aims to improve customer identification for digital transactions. The company is part of a growing market, with rivals in this competitive space including Signifyd, Riskified, AppsFlyer, ClearSale, Kount, SEON, and Fraud Fighters.
The engine delivered by Socure encompasses Know Your Customer (KYC), identity fraud detection, and document verification. With it, companies can scale rapidly by onboarding more good customers and preventing online fraud. Additionally, underbanked consumers who have been excluded from online services by outdated ID verification can gain access to critical benefits and services online.
Socure has rapidly escalated in popularity and reached a valuation well over $1 billion. Though not immune from the economic downturn of late, which resulted in two high-profile rounds of lay-offs, the company has secured considerable additional funds that will strengthen its financial position as it moves to capitalise on the ever-growing importance of identity verification and trust.
Steph
Company Specialist at Welcome to the Jungle
Insights
-22% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Nov 2021
$450m
SERIES E
Mar 2021
$100m
SERIES D
Total funding: $646.6m
Company 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
Company HQ
Incline Village, NV
Leadership
Johnny Ayers
(Founder & CEO)Founder & General Partner of Switch Hit Ventures. Having been a Senior Consultant at IBM, they became COO and Board Member of Endeavor Up. Since then, was an Advisor at Pager and later founded Socure in 2012.
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