Senior Data Scientist

Through our values: Be Bold, Go Fast, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong. See how we’ve been continuously recognized and named one of Inc. Magazine’s Best Workplaces, Forbes America’s Best Startup Employers, Best Fintech to Work for by Ameri...

Check out our investors and read more about us here.

The Signals team builds Alloy’s real-time machine learning systems at scale. Our immediate focus is on fraud detection, where we believe machine learning can simplify and accelerate decision-making in ways traditional rule-based systems can’t. Managing rules and policies to detect fraud is complex and constantly evo...

Always building with end-solution in mind. 
Able to communicate complicated concepts to a non-technical audience without diluting the complexity of the work.
Able to build strong cross-functional relationships within Alloy.
Naturally curious with a knack for asking tough questions.
Solid understanding of core ML concepts such as supervised learning, feature engineering, and model evaluation.
A team player. You believe that big things happen when the right people are working together.
A fast learner
Humble. Mistakes happen and owning them helps us learn and move on quickly
8+ years as an individual contributor in Applied Fraud Research, Data Science, or Machine Learning with a proven track record in a “Solutions” or client-facing capacity.
Expertise in working with highly imbalanced datasets and building production-grade Machine Learning models with specific interest in tree-based models.
Advanced proficiency in scripting languages like Python and querying languages like SQL
Proven ability to wrangle and think thoughtfully about data at scale (processing billions of records).
Experience developing metrics and dashboards.
Able to communicate their findings effectively to technical and nontechnical members
Someone who embodies our shared Alloy values: be bold, get scrappy, collaborate, and celebrate our differences.
You have experience in a highly analytical role in fast-paced environments
Must be local to Greater New York City.
Previous experience in financial fraud detection.
Advanced Degree (Masters or PhD) in a quantitative field.
Experience managing the end-to-end lifecycle of a technical pilot or Proof of Concept.
Experience with BI tools like Looker.
Experience with modeling on graph structures.

We're a lean team, so your impact will be felt immediately, and opportunities will grow as the company scales up. If this all sounds like a good fit for you, why not join us?
Alloy is committed to fair and equitable compensation practices. Below is the anticipated starting base compensation range for this role; however, pay may vary depending on job-related knowledge, in-demand skills, relevant experience, and/or geography. In addition to a competitive base salary, this position is also eligible for equity awards in the form of stock options (ISOs) as well as a competitive total benefits package. Your recruiter will be happy to walk you through the details and what compensation could look like for you specifically!
This position has a salary range of $212,000, to $251,000.