Top Tech Jobs & Startup Jobs in NYC, NY

Reposted One Month AgoSaved
Remote
US
Mid level
Mid level
Big Data • eCommerce
Own the conversion of raw alternative datasets into scalable, AI-ready data products. Define methodologies, metric definitions, and guardrails for AI-driven insights. Partner with engineering, product, and customers to expand use cases, ensure data quality, validate changes, and manage incidents to deliver reliable, explainable data products at scale.
Top Skills: Ai/MlLlmsSQL
Reposted One Month AgoSaved
Remote
US
110K-110K Annually
Mid level
110K-110K Annually
Mid level
Big Data • eCommerce
The Client Strategy Manager will manage client relationships, develop commercial strategies, and ensure client success through proactive engagement and support. This role includes account management, upselling, and enhancing client engagement with the firm's analytics services.
One Month AgoSaved
Remote
US
170K-185K Annually
Senior level
170K-185K Annually
Senior level
Big Data • eCommerce
Lead an end-to-end data domain: define processing and validation, build reusable methodologies and QA/monitoring systems, partner with product and engineering to set technical direction, onboard new datasets, apply AI/automation to reduce manual work, and mentor junior analysts to scale domain capabilities.
Top Skills: Ai ToolsPysparkPythonSQL
One Month AgoSaved
Remote
USA
135K-135K Annually
Mid level
135K-135K Annually
Mid level
Big Data • eCommerce
Assess and evaluate third-party datasets, define success metrics and analytical frameworks, run quantitative analyses, and recommend product opportunities. Support new product development, collaborate cross-functionally with engineering and partnerships, leverage AI/LLMs and automation, and contribute to tooling, knowledge, and operational efficiency.
Top Skills: Ai ToolsDatabricksLlmsPysparkSQL
Reposted One Month AgoSaved
Remote
US
170K-170K Annually
Mid level
170K-170K Annually
Mid level
Big Data • eCommerce
Design, validate, and deploy scalable statistical and distributional models for enterprise consumer analytics. Implement rigorous methodologies, convert ad-hoc analyses into version-controlled analytical libraries, and partner with Data Engineering to optimize performance and scale compute workloads (including cloud/Databricks). Deliver reproducible analytics powering dashboards and LLM-driven applications, with a focus on panel and transaction-level consumer data.
Top Skills: DatabricksLlm (Large Language Models)PythonRSQL
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