Alloy - Senior Data Scientist, Predict
Requirements
• 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. • 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 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?
Responsibilities
• Contribute to the design, training, and evaluation of machine learning models that power Alloy’s fraud detection capabilities. • 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. • Document findings and communicate insights to internal teams, contributing to shared learning and continuous improvement. • Maintain up-to-date model documentation and support Alloy’s model governance processes to ensure transparency and compliance. • 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.
Benefits
• This position has a salary range of $212,000, to $251,000. • Unlimited PTO and flexible work policy • Employee stock options • Medical, dental, vision plans with HSA (monthly employer contribution) and FSA options • 401k with 100% match up to 4% of annual employee compensation • Eligible new parents receive 16 weeks of paid parental leave • Annual Learning & Development annual stipend • Well-being benefits include access to ClassPass, OneMedical, UrbanSitter, and Spring Health • Hybrid work environment: employees are expected to work Tuesdays through Thursdays from our HQ in Union Square, Manhattan. Tasty lunches catered from a variety of local restaurants and frequent employee-organized cultural events contribute to our positive office energy. On Monday/Friday most employees Zoom into work from home while some take advantage of the quieter office. • Alloy is proud to be an equal-opportunity workplace and employer. 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. We are committed to an inclusive interview experience and provide reasonable accommodations to applicants with visible and invisible disabilities. We encourage applicants to share needed accommodations with their recruiter. • All Alloy jobs are listed on our careers page. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with an alloy.com email address. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information during the recruiting process. If you’re ever unsure, please contact us directly via our website before sharing personal information.
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