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About the Role

As the Staff Data Scientist (VP) on the AI Science team, you will design and deploy production AI systems for consumer-facing businesses. You will build AI-powered products that deliver measurable business outcomes for senior stakeholders, operating with significant scope and speed on greenfield problems. This hands-on technical leadership role involves end-to-end delivery, client relationship ownership, and shaping the organization's AI investments.

Responsibilities

Own high-impact business problems from ambiguity to production, working directly with operating teams to frame questions, build models, systems, and applications, and ship them into daily workflows.
Build predictive models, experimentation frameworks, and optimization systems for marketing, sales, and operations.
Build production LLM applications end-to-end, including structured extraction, retrieval-augmented generation, multi-step orchestration, and rigorous evaluation.
Evaluate and champion emerging AI techniques and tools through hands-on prototyping, benchmarking, and iterative deployment.
Partner with AI researchers, data scientists, and domain experts to translate experimental models into production-ready systems.
Contribute reusable AI capabilities and methods that serve as building blocks across the organization.
Own client relationships end-to-end, collaborating directly with senior business stakeholders to understand workflows, scope and deliver engagements, and iterate on AI products.
Mentor engineers and data scientists through design reviews, code reviews, and hands-on pairing.

Requirements

7+ years of experience building and deploying ML or data science systems in production environments.
Proven track record of leading AI/ML projects from ideation to production, including cross-functional collaboration, technical ownership, and direct engagement with business stakeholders.
Hands-on experience building production LLM applications: prompt engineering, orchestration, retrieval-augmented generation, structured output parsing, and evaluation pipelines.
Deep expertise in predictive modeling, experiment design and causal inference, and optimization, with strong statistical foundations.
Experience working with business-generated data and turning it into decisions.
Proficiency in Python, along with modern AI/ML tools (e.g., PyTorch, scikit-learn, LangChain/LangGraph, vector databases, LLM APIs).
Working knowledge of MLOps practices (CI/CD, model monitoring, evaluation) and cloud infrastructure (AWS, GCP, or similar).
Exceptional communication and collaboration skills, with the ability to translate technical details into strategic decisions and present directly to senior business stakeholders.

Skills

Predictive modeling
Experimentation frameworks
Optimization systems
LLM applications
Prompt engineering
Orchestration
Retrieval-augmented generation
Structured output parsing
Evaluation pipelines
Causal inference
A/B testing
Uplift measurement
Python
PyTorch
scikit-learn
LangChain/LangGraph
Vector databases
LLM APIs
MLOps
CI/CD
Model monitoring
Cloud infrastructure

Location

New York, NY

Work Type

Hybrid

Experience Level

Staff
VP

Education Level

Master's (or MBA) or PhD in Computer Science, Machine Learning, Statistics, Operations Research, or a closely related discipline preferred.

Salary/Compensations

$280,000-300,000

Benefits

Bonus
Full range of medical, financial, and/or other benefits

About the Company

TWG Group Holdings, LLC (“TWG Global”) drives innovation and business transformation across financial services, insurance, technology, media, and sports by leveraging data and AI.
They utilize an AI-first, cloud-native approach for real-time intelligence and interactive business applications.
The company prioritizes responsible data and AI practices, ensuring ethical standards and regulatory compliance.
Their decentralized structure allows autonomous business units supported by a central AI Solutions Group.
Strategic partnerships with leading data and AI vendors fuel efforts in marketing, operations, and product development.
Their solutions power trading desks, portfolio optimization, and risk analytics across fixed income, derivatives, and structured products.
Contributions support the goal of sustained growth and superior returns, delivering rare value and impact.

Equal Opportunity

TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.