Data Scientist, Socure
Big Data R&D, Identity Graph & KYC
$140-170k
+ Equity + Bonus
More information about location
Digital ID verification & fraud protection
Be an early applicant
Digital ID verification & fraud protection
501-1000 employees
Be an early applicant
$140-170k
+ 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
- Master’s degree with 2+ years of experience, or Ph.D. with 1+ years of experience in a data science or analytics role, or equivalent practical experience
- Proficiency in at least one general-purpose programming language used in data science (Python, or Scala)
- Solid experience writing and optimizing SQL for large datasets; comfort working in data lake / warehouse environments
- Hands‑on experience with Spark or PySpark and common ML libraries (e.g., scikit‑learn, XGBoost, TensorFlow/PyTorch a plus)
- Familiarity with UNIX environments and the AWS ecosystem (e.g., EMR, S3); Databricks experience is a plus
- Working knowledge of supervised/unsupervised ML and basic statistics (similarity measures, clustering, evaluation metrics)
- Exposure to graph techniques or graph databases (Neo4j, AWS Neptune, GraphFrames) is a strong plus
- Bonus: experience with Elasticsearch or DynamoDB; workflow tools such as Airflow for automating data pipelines
- Ability to break down loosely defined problems, ask good clarifying questions, and iterate quickly with feedback
What the job involves
- The Big Data R&D team is responsible for building the core identity graph and entity-resolution capabilities that power Socure’s KYC and compliance products
- In this role, you will help develop graph-based algorithms and data pipelines on massive PII datasets, support modelers with high-quality features, and evaluate new data sources that feed our identity and fraud products
- You will work closely with senior data scientists and engineers while developing your skills in large-scale ML, distributed systems, and graph analytics
- Contribute to the design and implementation of machine learning, data mining, statistical, and graph-based algorithms to analyze very large datasets for identity verification and anomaly detection
- Analyze large datasets to help develop and refine entity-resolution and identity-matching algorithms that drive Socure’s KYC and compliance solutions
- Build and maintain components of data-processing pipelines (ETL, feature generation, normalization) using tools such as Spark/PySpark and AWS (e.g., EMR, S3)
- Support senior data scientists with feature engineering, data exploration, error analysis, and A/B test setup for new models and signals
- Help evaluate new third‑party and internal data sources: profile data quality, design offline experiments, and summarize impact on coverage and model performance
- Implement and maintain SQL and Python/R code for data extraction, transformation, and validation; contribute to code reviews and basic testing
- Provide analytical support to compliance and regulatory product teams, including ad hoc investigations, simple dashboards, and data deep dives
- Communicate findings in a clear, structured way to peers and cross‑functional partners (Product, Engineering, Client Analysis), focusing on key insights and trade‑offs
- Work effectively in a fast‑paced, cross‑functional environment; demonstrate ownership of well-scoped tasks and follow through to completion
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.
Share this job
View 63 more jobs at Socure