Data Scientist
Summary
Build LLM-driven AI systems and data pipelines for a SaaS marketing agency serving food brands, integrating predictive insights into e-commerce workflows.
tossdown is a SaaS-based marketing agency offering e-commerce and digital marketing solutions tailored to the food industry. We work with food businesses to build e-commerce websites, mobile apps, and deliver impactful digital marketing strategies. Our mission is to help food brands grow by enhancing their online presence and driving sales growth.
- Lead the design and development of LLM-driven systems and agentic AI workflows to improve automation and intelligence across products.
- Build and maintain data pipelines to extract, process, and structure large-scale datasets from multiple sources.
- Integrate LLMs into internal tools and SaaS workflows to enable predictive insights and automation.
- Work closely with product, engineering, and business teams to identify AI-driven opportunities within food industry workflows (restaurants, ordering systems, marketing performance, etc.).
- Develop Python-based tools for data processing, analytics, visualization, and decision support systems.
- Research, evaluate, and benchmark emerging AI/ML models and frameworks to support product innovation.
- Design and implement data monitoring, validation, and automation systems to ensure accuracy, scalability, and reliability.
- Contribute to GenAI initiatives and experimentation with agent-based architectures and intelligent automation systems.
- Translate complex data outputs into clear, actionable insights for leadership and clients.
2+ years of experience in Data Science, Data Engineering, AI/ML, or related fields.
Strong hands-on experience with LLMs.
Deep understanding of agentic AI systems and real-world implementation use cases.
Expert-level proficiency in Python (data processing, APIs, automation, and AI workflows).
Strong knowledge of data structuring, analytics, and visualization techniques.
Proven experience in building and deploying end-to-end data or AI-driven solutions.
Experience working with cross-functional teams in a fast-paced product/SaaS environment.
Strong communication skills with the ability to explain technical insights to non-technical stakeholders.
Experience in SaaS, e-commerce, or food-tech domain will be considered a strong plus.
