TWG Global AI
Staff / VP, Data Science - Marketing & Sales Focus
New York, New York, United States · Vp
Sponsorship not specified$280k-$300kDetected 1 day ago
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Lottery odds (Level IV)94
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About the role
- As the Staff Data Scientist (VP) on the AI Science team, you will be responsible for designing and deploying production AI systems that power operations, sales, and marketing workflows for consumer-facing businesses across a diversified portfolio.
- You will operate with unusual scope and speed: greenfield problems across multiple businesses, direct access to executive decision-makers, and work that ships to production in weeks, not quarters.
- You will have direct visibility to senior business stakeholders, translating complex business workflows into working AI systems.
Responsibilities
- Own high-impact business problems from ambiguity to production: work directly with operating teams to frame the question, build the models, systems, and applications that answer it, and ship it into daily workflows across operations, sales, and marketing.
- Build predictive models, experimentation frameworks, and optimization systems for marketing, sales, and operations-turning campaign, funnel, and operational data into decision-ready insight for business leaders.
- Build production LLM applications end-to-end: structured extraction from complex documents and customer interaction data, retrieval-augmented generation, multi-step orchestration, and rigorous evaluation.
- Partner with AI researchers, data scientists, and domain experts to translate experimental models into production-ready systems-hardening prototypes for latency, cost, accuracy, and reliability while generalizing solutions across multiple business domains.
- Contribute reusable AI capabilities and methods that serve as building blocks across the organization, partnering with engineering to set the standards for how AI systems are built, evaluated, and maintained.
- Own client relationships end-to-end: collaborate directly with senior business stakeholders to understand workflows, scope and deliver engagements, gather feedback, and iterate on AI products that meet practitioner-grade quality standards.
- Mentor engineers and data scientists through design reviews, code reviews, and hands-on pairing-raising the bar for technical excellence and engineering rigor across the team.
- Hands-on experience building production LLM applications: prompt engineering, orchestration (e.g., multi-agent systems, chained workflows), retrieval-augmented generation, structured output parsing, and evaluation pipelines.
- Deep expertise in predictive modeling, experiment design and causal inference (A/B testing, uplift measurement), and optimization, with strong statistical foundations.
Requirements
- 7+ years of experience building and deploying ML or data science systems in production environments.
- Hands-on experience with enterprise data and AI platforms (e.g., Palantir Foundry or similar)-including developing, deploying, and integrating AI solutions within an integrated data ecosystem.
Nice to have
- prompt engineering, orchestration (e.g., multi-agent systems, chained workflows), retrieval-augmented generation, structured output parsing, and evaluation pipelines.
- Experience working with business-generated data - customer, campaign, transaction, or operational - and turning it into decisions alongside the commercial owners of that data.
- Exceptional communication and collaboration skills, with the ability to translate technical details into strategic decisions and present directly to senior business stakeholders.
Compensation
- $280k-$300k
Benefits
- A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits.
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