Alloy is seeking a Senior Data Scientist to join their Predict team. The successful candidate will contribute to the design, training, and evaluation of machine learning models that power Alloy's fraud detection capabilities. They will work on advancing core models while partnering directly with customers to drive strong outcomes from fraud studies.
Requirements
- 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 complicated concepts to a non-technical audience without diluting the complexity of the work.
- 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
- Must be local to Greater New York City.
Benefits
- 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
- Home office stipend for new employees
- Annual Learning & Development annual stipend
- Well-being benefits include access to ClassPass, OneMedical, UrbanSitter, and Spring Health