Lead Decision Scientist

Summary

Join Aimpoint Digital, a leading analytics consulting firm, as a Lead Decision Scientist. You will leverage your expertise in machine learning, statistical modeling, and causal inference to deliver impactful solutions for clients. This client-facing role involves designing, developing, and deploying AI models focused on customer behavior. You will collaborate with stakeholders, coach team members, and contribute to business development. The ideal candidate possesses a Master's degree or equivalent experience, 3-5 years of machine learning experience, and strong communication skills. This full-time, remote position offers the opportunity to work on challenging projects and make a significant contribution to the company's success.

Requirements

• Master’s degree or higher in Statistics, Economics, Computer Science, Engineering, Mathematics or equivalent experience
• 3-5 years of practical machine learning experience
• Experience in programming in Python
• Experience building machine learning models or developing algorithms for business applications in a customer facing domain
• Familiarity with causal inference techniques and concepts
• Experience communicating complex topics and results to high-level stakeholders in marketing & product roles. Strong written and verbal communication skills are required
• Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or people
• Willingness to travel

Responsibilities

• Work independently to design, develop, and deploy causal machine learning and AI models with a focus on customer behavior to influence decision making, including but not limited to (churn, upsell, pricing sensitivity, and action uplift measurement)
• Become a trusted advisor working with clients to deliver these analytical solutions
• Collaborate with stakeholders and customers to ensure successful project delivery
• Write production-ready code in SQL, Python, and Spark following software engineering best practices
• Coach team members in of machine learning and statistical modelling techniques
• Work independently on client engagements
• Run engagements with additional team members
• Take part in the development of our practice
• Aid in business development
• Contribute innovative ideas to our company

Preferred Qualifications

• Consulting Experience
• Databricks Machine Learning Associate or Machine Learning Professional Certification
• Developed and deployed real-time pricing, recommendation or next best action models
• Understanding of MLOps

Benefits

Full-time, remote work within the US