Senior Data Scientist, Sign3

Cedar Management Consulting

Gurugram, INonsitePosted Jul 16, 2026
Posting intelligenceActively listedReposted 3×, possible evergreen/ghost posting

Skills

scikitlearntensorflowpytorchpythonml

About the role

Job Information

Department Name

Cedar Hill Capital Portfolio Company

Industry

Technology

Work Experience

5-8 years

City

Gurgaon

State/Province

Haryana

Zip/Postal Code

122016

Job Description

About Sign3

Sign3 is an AI-first customer intelligence platform powering fraud prevention, risk scoring, and smarter onboarding decisions for leading FinTechs, banks, and digital businesses. Our flagship SDK and APIs analyze device, behavioral, and digital footprint signals to help clients detect synthetic identities, money mule accounts, and other fraud vectors - in real time. We work with top-tier players across credit cards, lending, gaming, and neo-banking, helping them unlock trusted growth at scale. Our systems process millions of risk events per day, with millisecond-level performance and precision. At Sign3, you’ll get to build in a fast-paced, impact-focused environment alongside a lean, high-ownership team.

The Role

We are looking for a Senior Data Scientist to build and deploy machine learning models that power fraud detection, risk scoring, and credit decisioning for our fintech and banking partners. You will own the end-to-end model lifecycle, from data exploration and feature engineering to deployment, monitoring, and iteration, while working closely with engineering and product teams.

What You'll Do

Develop machine learning and statistical models for fraud prevention, risk scoring, and credit underwriting

Analyze large-scale behavioral and transactional datasets to identify patterns, anomalies, and emerging fraud trends

Design and run experiments to evaluate, compare, and improve model performance

Partner with engineering to deploy models into production and ensure they are reliable, observable, and performant at scale

Monitor live models for drift and degradation, and lead retraining and improvement cycles

Collaborate with product and risk teams to translate business problems into modeling solutions

What We're Looking For

Bachelor's degree or higher in Computer Science, Statistics, Applied Mathematics, or a related field

5+ years of experience in data science, with exposure to FinTech or financial services preferred

Strong expertise in Python and SQL, and hands-on experience with ML frameworks such as scikitlearn, XGBoost, PyTorch, or TensorFlow

Solid foundation in classical machine learning, statistical modeling, and experiment design

Experience taking models from notebook to production, including monitoring and iteration

Ability to communicate complex findings clearly to technical and non-technical stakeholders

What We Offer

Competitive compensation and meaningful equity

High-ownership role in a fast-growing AI startup

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