Alloy · 16 hours ago
Senior Data Scientist, Client Insights
New York, NY
Full-time
Hybrid
Senior Level
$165K/yr - $200K/yr
6+ years expAlloy is a company focused on solving identity risk problems for financial product providers. They are seeking a Senior Data Scientist to lead efforts in applying statistical and machine learning techniques to enhance fraud prevention outcomes and improve client insights based on data analysis.
ComplianceFinTechFraud DetectionIdentity ManagementSaaS
Responsibilities
Apply statistical and machine learning techniques to develop customer-facing models that directly influence fraud prevention outcomes
Work closely with application engineers to operationalize models you've built, ensuring they meet rigors for customer usage, including model performance tracking and observability, and have mechanisms for retraining
Take the initiative to innovate on our current models and apply new methodologies to new and existing problems and products
Write clear, thoughtful documentation that makes data pipelines, modeling decisions, and trade-offs easy to understand and maintain
Partner with engineering and product leads to provide guidance and leadership in roadmap planning
Anticipate future support and maintenance overhead for the data-driven features and models you've built
Leverage a deep, data-driven understanding of the key drivers and metrics underpinning Alloy's products and business lines to draw insights and make recommendations that will help the company grow and scale effectively
Conduct bespoke analyses and research for new customer use cases that support future development of data science products
Qualification
Required
6+ years of relevant experience doing modeling and data science work, conducting advanced analytics and building/iterating on real-world, production models
2+ years experience leading projects
Advanced proficiency in scripting languages like Python and querying languages like SQL
Experience with classification, clustering, regression, and time series models
Experience working with unbalanced data sets
Experience building models from scratch, iterating, and owning projects end to end
Preferred
Professional experience in fraud detection
Experience with AWS SageMaker
Experience using: Airflow, Spark, Dbt, Git, Hex, Looker
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, and Spring Health
Hybrid work environment: our employees local to NYC are expected to work Tuesdays and 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.
Company
Alloy
Alloy is a developer of an identity verification platform used to detect fraud and make identity management effective and simple for banks.
201-500 employees
H1B Sponsorship
Alloy has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (1)
2020 (3)
Funding
Current Stage
Growth StageTotal Funding
$216.66MKey Investors
Lightspeed Venture PartnersCanapi VenturesBessemer Venture Partners
2022-09-01Series C· $52M
2021-09-30Series C· $100M
2020-09-16Series B· $40M
Leadership Team
Tommy Nicholas
CEO
Kathryn Cook
Chief Marketing Officer
Recent News
Right Side Capital Management
2026-01-15
2025-12-18
Company data provided by crunchbase