About the Role
Insomnia Cookies is on a mission to sweeten the digital experience through intelligent personalization, predictive insights, and real-time decisioning.
We're looking for a Senior Machine Learning & Data Science Lead who enjoys working hands-on with models, data, and production systems-while collaborating closely with product, engineering, and marketing teams. This role blends applied data science with practical ML engineering to help design, build, and improve AI-powered capabilities across our digital channels and operations.
Sweet Position Perks:
* 4 day work week!! (yupp, we get every Friday off)
* Excellent comprehensive benefits coverage that includes medical, dental, vision & pet insurance plans
* 401K with contribution match
* 3 weeks paid vacation plus 2 paid Insomnia personal wellness days
* Relaxed, fun, come as you are office culture
* Free cookies, branded swag and so much more!
What You'll Do
* Collaborate with teams to design and implement ML models for personalization, recommendations, targeting, and operational improvements.
* Develop predictive and forecasting solutions that use first-party data to support marketing, store operations, and inventory planning.
* Integrate models into production environments, partnering with engineers to ensure scalability, reliability, and maintainability.
* Contribute to experimentation efforts, helping design and analyze A/B tests to measure impact.
* Support ongoing model monitoring and refinement, ensuring quality, fairness, and explainability remain central.
* Work across the business to explore new opportunities where data science and ML can improve customer experience or operational efficiency.
What You Bring
* 5+ years in applied ML, data science, or quantitative product roles.
* Experience with recommendation systems, predictive modeling, clustering, and time series forecasting.
* Practical experience deploying models to production (Python, AWS/GCP, APIs).
* Proficiency in SQL and working with large datasets.
* Familiarity with A/B testing and statistical analysis for experimentation.
* Ability to communicate technical concepts clearly to technical and non-technical audiences.
* Bonus: background in eCommerce, QSR, or real-time customer engagement systems.
Why This Role Rocks
* Work on a variety of high-impact, customer-facing and operational projects.
* Be part of the early-stage buildout of our AI and ML capabilities.
* Collaborate with multiple teams on initiatives that directly shape digital experiences.
* Join a fast-moving, playful culture that values experimentation and innovation.