Alloy
Senior Data Scientist
New York City · Senior
Sponsorship not specified$212k-$251kDetected 4 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.
Responsibilities
- 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.
Requirements
- 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.
Compensation
- 401k with 100% match up to 4% of annual employee compensation
Benefits
- 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.
Company info
- 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.
Equal opportunity
- 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.
Visa & Work Authorization
- 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's careers page and normalized into a canonical job model.