Build the Future.

Founding Data Scientist - Marketing Recommendation Systems

The Role

You'll architect our AI-powered recommendation engine that tells marketers exactly what to do with their budgets on a frequent cadence. This is a sophisticated decision system that combines Bayesian inference, causal measurement, and adaptive learning to generate actionable recommendations.

You'll collaborate closely with founding engineers, product managers, and leadership from successful tech companies who value rigorous technical work and data-driven decision making.

What You'll Work On

• Build production recommendation systems that generate daily/weekly actionable guidance for marketing budget allocation with confidence scoring.
• Implement causal inference systems calibrated against geo-lift experiments, handling confounding, selection bias, and attribution gaming.
• Design Bayesian Time Varying Coefficient models to capture dynamic channel effectiveness and extract seasonality patterns for tactical recommendations.
• Architect cost-sensitive surrogate models that score creative and bidding strategy effectiveness (incremental vs. cannibalistic).
• Build multi-armed bandit systems that balance exploration and exploitation while adapting to market changes and creative fatigue.
• Transform messy proprietary data streams (surveys, pixels, platform attribution, incrementality tests) into unified, high-conviction recommendations.

What We're Looking For

Required:

• 10+ years building production recommendation systems or decision algorithms.
• Deep expertise in Bayesian inference applied to real-world decision-making problems.
• Strong understanding of causal inference: confounding, selection bias, experimental design.
• Experience with probabilistic programming (PyMC, Stan, NumPyro) or Bayesian ML frameworks.
• Track record of shipping ML systems that generate actionable recommendations, not just predictions.
• Production-quality software engineering skills.

Preferred:

• Experience with multi-armed bandits, contextual bandits, or RL for decision systems.
• Background in recommendation systems, personalization engines, or algorithmic decision-making.
• Experience with incrementality testing, geo-experiments, or A/B testing frameworks.
• Familiarity with marketing measurement concepts (MMM, attribution, seasonality modeling).

Senior Full-Stack Engineer

The Role

We are seeking a versatile and experienced Senior Full-Stack Engineer who is comfortable working across the entire stack, from database design and API development to complex front-end interfaces. You will be instrumental in scaling our Agentic Media Engine and building robust, high-performance, and secure applications that handle millions of data points daily.

What You'll Work On

• Design, develop, and deploy highly scalable backend services (using Node.js/TypeScript) and relational databases (PostgreSQL).
• Build high-fidelity, responsive, and complex front-end interfaces and data visualizations (using React/Next.js).
• Lead the technical implementation of new features, from initial architecture design to deployment.
• Collaborate closely with data scientists to productionize machine learning models into real-time decision-making APIs.
• Implement and maintain robust unit and integration tests to ensure code quality and reliability.

What You Bring (Requirements)

• 5+ years of professional software development experience.
• Deep expertise in JavaScript/TypeScript, Node.js, and modern front-end frameworks like React or Next.js.
• Strong command of SQL (preferably PostgreSQL) and experience with database design, optimization, and ORMs.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) is a strong plus.
• A passion for building high-quality, maintainable software and a proven track record of solving complex technical problems.