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Haystack
Haystack

Senior Data Scientist

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Senior

Tech stacks

Machine Learning
Automation
Python
+20

Permanent role
a day ago
Apply now

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!

About Haystack

🔗Website
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