Forward-Deployed Data Scientist
Phare Health
CloudETLPythonSQL
Forward Deployed AI Engineer
Hightouch
full-time
Posted on:
Origin: • 🇺🇸 United States • California
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
CloudETL
About the role
- Partner with customers during onboarding to understand their specific use cases, data landscape, and business objectives
- Design and implement custom prompt strategies tailored to customer agents workflows and insight generation needs
- Conduct on-site or remote workshops to train customer teams on prompt engineering best practices
- Ensure proper schema setup to enable optimal AI agent deployment
- Develop and refine prompts for AI insights that drive accurate, reliable business processes and insights
- Create prompt templates and frameworks for AI insights generation across various industries and use cases
- Continuously test and iterate on prompt performance, measuring impact on customer KPIs
- Maintain a library of proven prompt patterns and techniques for different business scenarios
- Serve as the primary technical resource for customers during the critical first 90 days post-implementation
- Collaborate with customers' data science and engineering teams to integrate AI agents into existing workflows
- Provide technical documentation, best practices guides, and training materials
- Identify opportunities for prompt optimization
- Work closely with Technical Success, Sales, and Product teams to ensure seamless customer experiences
- Provide feedback to Product and Engineering teams based on customer implementations and requirements
- Contribute to the development of new product features and capabilities based on field insights
- Support pre-sales technical discussions and proof-of-concept implementations
Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field
- 3+ years of experience in prompt engineering, natural language processing, or machine learning
- Proven experience working with LLMs in business systems
- Experience with data modeling, schema design, and working with structured/unstructured data sources
- Experience with data platforms, APIs, and customer data infrastructure
- Excellent communication skills with ability to explain complex technical concepts to non-technical stakeholders
- Willingness to travel up to 25% for customer engagements
- Track record of successful customer-facing technical implementations
- Experience with customer data platforms, reverse ETL, or data activation tools (preferred)
- Background in business intelligence, analytics, or data science consulting (preferred)
- Familiarity with enterprise software implementation methodologies (preferred)
- Experience in SaaS customer success or solutions engineering roles (preferred)
- Industry knowledge in marketing technology, e-commerce, or data-driven decision making (preferred)
- Certifications in relevant AI/ML technologies or cloud platforms (preferred)
