Senior Data Scientist - Digital Intelligence, Device Signals

SocureHybrid - San Francisco, CAAI and Data

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Opens the official Socure careers page

Salary

$150K - $185K USD

Job type

Full-time

Posted

1 Apr 2026

Status

Open · checked 7d ago

About this role

Role Overview

The Senior Data Scientist position at Socure is a full-time hybrid role based in San Francisco, CA, designed for quantitative professionals with six or more years of experience. This position suits an experienced data scientist ready to build advanced machine learning models that power identity verification and digital fraud prevention systems.

Key Responsibilities

Design, build, and deploy advanced machine learning systems focused on device identification, anomaly detection, and fraud prevention while balancing precision and recall.

Build scalable data pipelines and production machine learning workflows using structured and unstructured telemetry from browser, mobile, and API traffic.

Analyze high-complexity signals such as spoofing, emulator use, and low-entropy fingerprints using statistical methods and domain expertise.

Translate open-ended business challenges into structured modeling strategies using supervised, unsupervised, and heuristic techniques.

Collaborate alongside engineering, product, and risk teams to shape data architecture, signal collection, and strategic planning.

Create experimental designs and A/B testing frameworks to ensure model generalizability and robust risk evaluation.

Document methodologies and share clear technical insights through reports, dashboards, and presentations tailored for technical and executive stakeholders.

Mentor junior data scientists and engage in cross-functional working groups to uphold high technical standards.

Requirements

Master's degree in Computer Science, Statistics, Machine Learning, or a related quantitative field, or equivalent practical experience.

At least 6 years of professional experience in data science or applied machine learning within production environments.

Advanced SQL capabilities combined with extensive background handling large-scale databases and data modeling.

Proven history of deploying and maintaining live machine learning models, preferably involving near-real-time or streaming data.

Strong programming fluency in Python alongside distributed computing tools like Spark or PySpark.

Hands-on practice utilizing machine learning frameworks including TensorFlow, scikit-learn, XGBoost, or comparable technologies.

Excellent communication skills to translate complex technical findings for non-technical leadership.

Demonstrated capability to structure ambiguous problems, manage trade-offs, and apply rigorous validation techniques to noisy, real-world datasets.

Nice to Have

Previous background working in fraud detection, behavioral biometrics, anomaly detection, or adversarial modeling.

Familiarity with high-cardinality feature engineering methods such as embeddings or frequency and target encoding.

Exposure to robust or privacy-preserving machine learning techniques.

Understanding of mobile or browser fingerprinting, VPN detection, proxy identification, or telemetry signal processing.

Skills and Tools

Python

TensorFlow

SQL

Spark

PySpark

scikit-learn

XGBoost

Distributed computing tools

Machine learning frameworks

Salary and Benefits

Annual salary range of $150,000 to $185,000 USD

Hands-on experience tackling complex data challenges within a high-impact industry

Collaborative and inclusive workplace culture that encourages ongoing learning and professional growth

Pathways to advance into staff-level or technical leadership positions over time

About the Company

Socure develops the identity trust infrastructure for the digital economy by verifying good identities in real time and stopping fraud before it occurs. The company provides industry-leading digital identity verification and fraud prevention solutions by leveraging advanced artificial intelligence and machine learning. Socure fosters a dynamic work environment for individuals who want to think critically, move quickly, and solve challenging customer problems.

How to Apply

Interested candidates should visit the official Socure careers page to submit an application for this hybrid Senior Data Scientist role in San Francisco.

Skills and tech stack

Python TensorFlow SQL Spark

Questions candidates ask

What is the location and work arrangement for the Senior Data Scientist?

The role is hybrid and based out of San Francisco, California.

What salary is offered for this position?

The annual salary ranges from $150,000 to $185,000 USD.

How many years of experience are required?

Candidates must have 6 or more years of experience in data science or applied machine learning, including production environment experience.

What core technical skills are needed?

Required technical skills include Python, SQL, Spark, and machine learning frameworks such as TensorFlow, scikit-learn, or XGBoost.

What educational background is expected?

A Master's degree in Computer Science, Machine Learning, Statistics, or a related quantitative field is required, though equivalent practical experience is also accepted.

Ready to apply?

The application is on the official Socure careers page.

Apply on company site