Senior Data Scientist - Document Verification

SocureHybrid - San Francisco, CAAI and Data

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Opens the official Socure careers page

Salary

$191K - $230K USD

Job type

Full-time

Posted

10 Aug 2026

Status

Open · checked 7d ago

About this role

Socure is seeking a skilled Senior Data Scientist for a hybrid position based in San Francisco, California. This role suits an experienced machine learning professional looking to advance identity trust technology and fraud detection systems.

Role Overview

Socure requires a technical Senior Data Scientist to lead machine learning advancements within the Document Verification platform. This position merges model building, performance analytics, and tooling to elevate fraud prevention, user satisfaction, and workflow efficiency. The successful candidate collaborates alongside Product, Engineering, Fraud Operations, and Data Science divisions to deploy production-level models, extract critical business insights, and engineer robust automation frameworks.

Key Responsibilities

Build, test, and enhance machine learning models focused on document verification, biometric checks, fraud identification, and image evaluation.

Investigate novel features, modeling strategies, and fraud prevention methods to elevate live system performance.

Coordinate with Engineering to release, observe, and upgrade production machine learning models.

Evaluate product performance, shifting fraud patterns, consumer habits, and emerging security threats.

Conduct model assessments using historical and live data sources to track precision, recall, false accept/reject rates, and overall business value.

Create key performance indicators and visual dashboards to track operational health and product metrics.

Construct software utilities and automation for labeling workflows, evaluation tracking, and fraud reviews.

Establish self-service analytics and experimentation pipelines while upgrading underlying data infrastructure.

Translate business goals into actionable data solutions through cross-functional teamwork.

Requirements

Master of Science, PhD, or equivalent practical experience in Data Science, Computer Science, Statistics, or a related discipline.

Minimum of 5 years of professional background working in data science, machine learning, product analytics, or fraud analytics.

Demonstrated proficiency in building and assessing production-ready machine learning models.

Advanced technical proficiency in Python and SQL.

Practical familiarity with cloud and big data platforms such as AWS Sagemaker, Spark, or Databricks.

Solid grasp of statistical analysis, experimental design, and machine learning assessment methodologies.

Nice to Have

Background working with deep learning, computer vision, or transformer architectures.

Practical experience setting up and interpreting A/B tests and online experiments.

Ability to establish product metrics and create monitoring dashboards for consumer behavior and operational performance.

Skills and Tools

Python

SQL

AWS

Spark

Computer Vision

Databricks

Machine Learning Evaluation

Salary and Benefits

Base Salary Range: $191,000 to $230,000 per year (USD)

Employment Type: Full-Time

About the Company

Socure develops the identity verification infrastructure designed for the digital economy, authenticating legitimate identities instantly while preventing fraud. The organization values workplace diversity and provides equal employment opportunities regardless of background, while offering application and interview accommodations upon request.

How to Apply

Interested candidates should visit the official Socure careers page to submit an application for this hybrid San Francisco opportunity.

Skills and tech stack

Python SQL AWS Spark Computer Vision

Questions candidates ask

What is the location of the Senior Data Scientist role?

The position is a hybrid role located in San Francisco, California.

What is the salary range for this position?

The annual base salary ranges from $191,000 to $230,000 USD.

How many years of experience are required?

Candidates must have 5 or more years of experience in data science, machine learning, fraud analytics, or product analytics.

What technical skills are necessary?

Required technical skills include expert proficiency in Python and SQL, along with experience using platforms like AWS Sagemaker, Spark, or Databricks.

What educational background is needed?

An MS, PhD, or equivalent practical experience in Computer Science, Data Science, Statistics, or a related field is required.

Ready to apply?

The application is on the official Socure careers page.

Apply on company site