Top AI & Machine Learning Jobs in New York City, NY

17 Days AgoSaved
In-Office
New York, NY, USA
155K-187K Annually
Senior level
155K-187K Annually
Senior level
Fintech • Payments • Real Estate • Software • Financial Services
Lead strategic analytics across Go-To-Market and Account Management by building scalable analytical frameworks, diagnosing performance issues, developing dashboards and automations, and applying experimentation to identify causal relationships. Translate complex data into business strategy, drive measurable outcomes, and establish analytics best practices, terminology, and documentation across the organization.
Top Skills: DbtETLLookerModeSnowflakeSQLTableau
23 Days AgoSaved
In-Office
New York, NY, USA
155K-187K Annually
Senior level
155K-187K Annually
Senior level
Fintech • Payments • Real Estate • Software • Financial Services
Build and maintain dbt and Snowflake data models supporting reporting, experimentation, and machine learning use cases. Analyze consumer payment behavior, pricing, credit, and risk dynamics; design experiments; instrument product features; and create dashboards for Product, Risk, and GTM teams. Establish data quality standards, scalable data architecture, documentation, and technical direction while mentoring analysts and engineers.
Top Skills: DbtLookerModeSigmaSnowflakeSQLTableau
29 Days AgoSaved
In-Office
New York, NY, USA
184K-225K Annually
Senior level
184K-225K Annually
Senior level
Fintech • Payments • Real Estate • Software • Financial Services
Build core dbt and Snowflake data models, analyze consumer payments, credit, pricing, and risk behavior, design experiments, create dashboards, improve data quality, and set technical direction while mentoring analysts and engineers.
Top Skills: DbtLookerModeSigmaSnowflakeSQLTableau
Reposted One Month AgoSaved
In-Office
New York, NY, USA
190K-235K Annually
Senior level
190K-235K Annually
Senior level
Fintech • Payments • Real Estate • Software • Financial Services
Lead risk and decision science for a new credit product: define risk policy and launch strategy, build scalable analytics and dashboards, own unit economics, partner with product/engineering/compliance, and use experimentation and AI/LLM tools to drive policy and LTV improvements.
Top Skills: Claude CodeLlmsSQL
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