Full-time Position

Hybrid (NYC)

We’re hiring a Senior Data Scientist to build production-grade Generative AI and machine learning systems. This is a hands-on, high-impact role for someone who wants their work in production, tied to revenue, and visible at senior stakeholder level.

This team sits at the intersection of data science, engineering, and business strategy. You’ll own GenAI solutions end to end from problem definition through deployment and play a key role in shaping how AI is applied across marketing and media use cases.

What You’ll Be Doing:

Build and deploy LLM-powered GenAI systems used by live clients
Design ML and statistical models with clear, measurable business and revenue impact
Develop end-to-end data science software (APIs, pipelines, deployments, monitoring — not just notebooks)
Evaluate and help define the future GenAI / ML technology stack
Communicate insights and AI-driven decisions directly with director-level client stakeholders
Mentor junior data scientists and help set technical standards

What We’re Looking For:

Strong hands-on experience as a Data Scientist or ML Scientist
Proven experience building and deploying Generative AI systems, especially with LLMs
Practical experience using LLM APIs (OpenAI or similar)
Strong Python and SQL
Experience building production data science or ML systems
Comfortable translating business problems into technical solutions
Experience in marketing, media, or advertising tech is a plus (not required)

Tech Stack (Core & Exposure):

Core: Python, SQL, Machine Learning, Statistical Modelling
GenAI: Large Language Models (LLMs), OpenAI APIs, Prompt Engineering
Nice to Have: RAG frameworks, LangChain / LlamaIndex, Cloud platforms (AWS/GCP/Azure), Git

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