Job Description

Senior Decision Scientist

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. We're a dynamic team committed to solving our client's most challenging business problems in partnership with the industry's most innovative software providers. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling.

What you will do

As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. 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, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Senior Decision Scientist, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company. As a Senior Decision Scientist, you will:


Become a trusted advisor working with clients to design end-to-end analytical solutions Work independently to solve complex data science use-cases across various industries Design and develop ML solutions including feature engineering, modeling and deployment pipelines Orchestrate advanced analytical insights to influence decision making using statistics, ML modeling, and causal inference Write code in SQL, Python, and Spark following software engineering best practices Collaborate with stakeholders and customers to ensure successful project delivery

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 a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate 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. In particular you have these traits:


Degree in Computer Science, Engineering, Mathematics, Statistics, Economics or equivalent experience. MS + 3-4 years practical experience PHD + 2 years practical experience Required competency in Python and classical ML methodologies - deep Learning and Snowflake/Databricks experience is preferred. Evidence of applying predictive modelling to drive impact for customers in pricing, marketing, or product spaces. Interest in real applications of GenAI Proven record of identification and development of ML solutions to measure and / or improve KPIs, such as product profitability, return on ad spend (ROAS), click-through rate (CTR), customer lifetime value (CLV) or customer churn rate 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 Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc. Understanding of RAG pipelines and experience with GenAI models including finetuning Databricks Machine Learning Associate or Machine Learning Professional Certification Snowflake SnowPro Core Certification or SnowPro Advanced: Data Scientist Certification Developed and deployed real-time pricing, recommendation or uplift models Experience with causal inference Understanding of MLOps and/or LLMOps

We are actively seeking candidates for full-time, remote work within the US or UK. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA.