Alloy Enterprises

Senior Data Scientist

New York City · Senior

Sponsorship not specified$212k-$251kDetected 5 days ago

PythonSpringSQLMachine LearningData ScienceMLOpsResearchCommunicationCollaboration

About the role

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 evolving; we use ML to make it smarter, faster, and more adaptive.
Alloy operates in a hybrid work environment.

Develop testing plans, metrics, performance reports, and translate findings into actionable recommendations.
Support production ML workflows, including feature generation, model training, and monitoring, to ensure models remain accurate and reliable at scale.
Maintain up-to-date model documentation and support Alloy's model governance processes to ensure transparency and compliance.
Always building with end-solution in mind.
Able to build strong cross-functional relationships within Alloy.

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).
You have experience in a highly analytical role in fast-paced environments
Must be local to Greater New York City.
Advanced Degree (Masters or PhD) in a quantitative field.
Experience with BI tools like Looker.
Experience with modeling on graph structures.

Unlimited PTO and flexible work policy
Employee stock options
Medical, dental, vision plans with HSA (monthly employer contribution) and FSA options
Eligible new parents receive 16 weeks of paid parental leave
Home office stipend for new employees
Annual Learning & Development annual stipend
Well-being benefits include access to ClassPass, OneMedical, UrbanSitter, and Spring Health
Contribute to the design, training, and evaluation of machine learning models that power Alloy's fraud detection capabilities.
Document findings and communicate insights to internal teams, contributing to shared learning and continuous improvement.
Solid understanding of core ML concepts such as supervised learning, feature engineering, and model evaluation.

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 American Banker, year after year.
Check out our investors and read more about us here.
Stay current with industry trends in applied ML and fraud detection, and contribute to Alloy's mission of making financial services safer and more accessible.
Able to communicate complicated concepts to a non-technical audience without diluting the complexity of the work.
Naturally curious with a knack for asking tough questions.

We're committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.

r, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status

This listing is sourced directly from Alloy Enterprises's careers page and normalized into a canonical job model.