🛠 Tech Stack

💼 About This Role

You'll design, build, and deploy machine learning models and AI systems including generative AI and agentic AI to solve complex business and financial challenges. Your work will directly influence strategic decision-making by transforming large datasets into actionable insights and scalable predictive systems. Collaborate closely with business and technical teams in a highly analytical environment.

🎯 What You'll Do

• Design, develop, and deploy machine learning models and AI solutions
• Apply statistical and quantitative methods to solve business and financial problems
• Build data pipelines and extract insights from structured/unstructured data
• Integrate large language models into production and pipeline solutions

📋 Requirements

• 6+ years of experience in data science, machine learning, or predictive modeling
• Bachelor's degree in a quantitative field; Master's or PhD strongly preferred
• Proven experience applying generative AI and/or agentic AI techniques
• Advanced programming in Python, R, SAS, or SQL

✨ Nice to Have

• Experience with Databricks, AWS SageMaker, Snowflake, or GitHub
• Experience mentoring junior data scientists

🎁 Benefits & Perks

• 💰 Competitive base salary $127,000-$150,000 per year
• 🏖️ Flexible Time Off with uncapped paid time off
• 🏥 Comprehensive health, dental, and vision insurance
• 💼 Pension eligibility and retirement-related benefits
• 📚 Professional development and access to advanced AI/ML tools

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter phone screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min