Job Title: Lead Data Scientist
Location: Boston, MA (In-Person, On-Site Only)
Type: Full-time
Team: Data Science
About Waffle Labs
Waffle Labs is an MIT-founded AI company building a new foundation for machine learning on structured data. Our core engine—Nostra-1, a Large Quantitative Model (LQM)—uncovers hidden relationships across disparate datasets, powering decision-making in industries like insurance, finance, and luxury retail.
Traditional ML models struggle with high-dimensional, multimodal numeric data. We don’t. Our technology connects structured data the way large language models connect words—enabling deeper insight, better generalization, and dramatically improved downstream performance. We’re backed by top-tier investors, featured in The Wall Street Journal and VentureBeat, and rapidly expanding our technical team in Boston.
About the Role
We’re hiring a Lead Data Scientist / Data Engineer to take a critical role in the day-to-day development and deployment of the Waffle Model. Reporting directly to the Chief Data Scientist, you’ll lead technical development of our model architecture, infrastructure, and production systems. You’ll be a senior member of the data science team, with major influence over technical direction and product design.
This role is full-time, in-person at our Boston office.
Responsibilities
- Lead design and development of the Waffle Model (Nostra-1) across research, training, and deployment
- Build and maintain robust data pipelines and modeling infrastructure
- Own end-to-end development of production-ready machine learning workflows
- Collaborate with engineering on tooling, scalability, and integration into client-facing products
- Contribute to a growing culture of technical excellence and team mentorship
Requirements
- 4+ years of experience in data science, machine learning, or data engineering
- Proficient in Python and modern data processing workflows (e.g., pandas, NumPy, PySpark)
- Strong foundation in classical machine learning methods (e.g., scikit-learn, XGBoost, etc.)
- Experience building and deploying real-world models end-to-end
- Bachelor’s degree or higher in Computer Science, Mathematics, Operations Research, or a related field
- MLops tools (Docker, Airflow, MLflow) and modern model deployment workflows
Bonus Experience
- Multimodal machine learning (e.g., combining numeric, text, image, or graph data)
- Graphical causal inference and structural causal models
- Working with high-dimensional, heterogeneous datasets
Why Join Waffle Labs
- Be an influential, senior member of a fast-growing technical team
- Work on cutting-edge problems in machine learning for structured data
- Build real systems that are already delivering impact across industries
- Competitive compensation, equity, and in-person collaboration with top-tier talent
Competitive Salary + Stock + 100% Healthcare
Interested? Send your resume and a cover email at contact@waffle-labs.com
