🛠 Tech Stack

💼 About This Role

You'll own larger data science projects end-to-end at a mission-driven impact SaaS company, shaping products used by 1,000+ institutional investors. Your work directly influences real capital allocation decisions based on peer-reviewed science. You'll operate in an AI-forward engineering environment with top-tier tooling and in-house agents.

🎯 What You'll Do

• Own larger projects and product areas end-to-end
• Set technical direction in key areas
• Mentor other team members
• Ship results that directly influence institutional capital flows

📋 Requirements

• At least 6 years of professional experience in data science or software development
• Demonstrated ability to execute data science work and provide technical direction
• Strong analytical and mathematical thinking with a toolbox including Bayesian inference, convex optimization, classical ML, LLMs, and SQL
• Track record of implementing production-quality data pipelines and models in Python and TypeScript

✨ Nice to Have

• Extensive practical experience in predictive modeling, Bayesian inference, or convex optimization
• Hands-on experience with LLM-assisted data processing: prompt design, structured outputs, retrieval, agentic tool use, and building evals
• Experience designing and operating ETL pipelines at non-trivial scale, and expertise in cloud technologies like AWS Sagemaker, Glue, ECR, and Fargate

🎁 Benefits & Perks

• 🌍 Mission-driven impact – work on products that influence real capital allocation decisions
• 🤝 Exceptional team – kind, direct, and deeply committed to quality work
• 🤖 AI-forward environment – first-class tooling, in-house agents, and freedom to push AI-native development
• 🚀 Autonomy and ownership from day one, with lots of room to grow
• 💰 Competitive compensation including stock options and comprehensive healthcare

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min

🚩 Heads Up

• Requirements list includes both data science and software development experience, potentially widening scope
• Role description mentions tailoring responsibilities after hiring, which may indicate unclear expectations
• Salary range not listed, leading to estimated figures