Lead Decision Scientist - Customer Behavior Analytics 2025- US

Lead Decision Scientist - Customer Behavior Analytics 2025- US

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning, statistical modelling, and causal inference. This position is for a client-facing, project lead level role for someone who has deployed solutions that utilize customer data to generate value for the business. This role at other companies may be referred to as a Machine Learning Engineer or Data Scientist.

What you will do

As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data through analytical problem solving. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, deep learning, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Decision Scientist, you will be expected to work independently on client engagements, run engagements with additional team members, take part in the development of our practice, aid in business development, and contribute innovative ideas to our company.

As a Lead Decision Scientist, you will:

• 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

Who we are looking for

We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code. You are an analytical-problem-solver who can deliver simple, elegant solutions that pushes into cutting-edge, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate these robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment.

Core Qualifications:

• 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

Want to stand out?

• 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

We are actively seeking candidates for full-time, remote work within the US.