Senior Data Scientist

Alloy

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$212,000–$251,000 / yr
Posted
157 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $158k
This role $232k
$86k most similar roles pay here $269k

This role pays more than 93% of similar roles. Most pay $126,800–$189,982 — the shaded band above. At the midpoint, this role pays about $232k versus about $158k for comparable roles.

Based on 240 similar postings.

Employer

About Alloy

Alloy is an identity decisioning platform that provides fraud prevention, compliance, and credit underwriting solutions for banks, credit unions, and fintechs to automate identity verification decisions. Industry: Financial Technology & Identity Verification

Alloy currently has 23 open roles on FindRole.

Listed pay typically runs $155,000–$190,000 across 23 roles with salary data.

Most-posted roles

View all roles at Alloy

At a glance

TL;DR · Senior Data Scientist

As a Senior Data Scientist on the Predict team, you will develop real-time machine learning systems to enhance fraud detection and simplify complex decision-making processes for financial institutions. You will be responsible for designing, training, and evaluating models, managing production workflows including feature generation and monitoring, and creating performance reports to provide actionable insights. The role involves partnering with customers on fraud studies while ensuring model governance and documentation compliance. To succeed, you must possess advanced proficiency in Python and SQL, experience handling highly imbalanced datasets, and expertise in tree-based models. You will work with large-scale data processing involving billions of records. Key skills include developing metrics and dashboards, communicating complex concepts to non-technical audiences, and applying core machine learning principles like supervised learning and feature engineering within the fraud detection domain.

What does a Data Scientist earn in New York?

Median $173200 from 38 postings across 17 companies.

See salary data

What you'll do

  • Design, train, and evaluate machine learning models to power fraud detection capabilities.
  • Develop testing plans, performance metrics, and reports to provide actionable recommendations.
  • Manage production ML workflows including feature generation, model training, and monitoring at scale.
  • Partner directly with customers to drive outcomes from fraud studies.
  • Document findings and communicate complex insights to both technical and non-technical internal teams.
  • Maintain up-to-date model documentation and support company governance processes for compliance.
  • Process and analyze large datasets containing billions of records using Python and SQL.

What we're looking for

  • 8+ years of experience as an individual contributor in Applied Fraud Research, Data Science, or Machine Learning.
  • Proven track record in a "Solutions" or client-facing capacity.
  • Expertise in building production-grade machine learning models with a focus on tree-based models and imbalanced datasets.
  • Advanced proficiency in Python and SQL.
  • Experience wrangling and analyzing data at scale involving billions of records.
  • Ability to develop metrics, dashboards, and communicate complex findings to both technical and non-technical audiences.
  • Must be local to the Greater New York City area.
  • Master's or PhD degree in a quantitative field is preferred.

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