We are working with a fast-growing AI-powered platform transforming restaurant management for global hospitality brands. This innovative company is backed by a leading investment firm and is rapidly expanding, offering a unique opportunity to contribute to significant advancements in the industry.
The Role
- Design, build, and scale production-grade machine learning systems to automate critical decisions.
- Own the end-to-end lifecycle from problem framing to deployment and monitoring of ML models.
- Create intelligent forecasting and labor planning tools that leverage predictive analytics.
- Drive profitability and reduce waste for major global hospitality brands.
- Partner with Product and Engineering teams to embed statistical models into seamless workflows.
- Build robust, observable ML pipelines and monitoring strategies to ensure model accuracy.
What You'll Need
- Proven track record of taking production ML systems from concept to revenue-impacting deployments.
- Expertise in classical machine learning, forecasting, or time series domains.
- Advanced academic background (MSc/PhD) in applied statistics or quantitative reasoning.
- "Production first" mindset with proficiency in writing clean, maintainable Python code.
- Strong systems thinking, comfortable with APIs, CI/CD, and cloud infrastructure.
- Ability to measure success through business metrics like automation rates and margin improvement.
What's On Offer
- Impact-driven environment where your models directly affect profitability.
- High growth trajectory at a successful Series B startup with meaningful equity opportunities.
- Join an elite, high-ownership data team where data science is a core business driver.
- Opportunity to work with major global hospitality brands.
Apply via Haystack today!