Lead Decision Scientist- Applied Optimization and Simulation 2025- US at Aimpoint Digital

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 science, and data engineering and infrastructure. This position is within our Decision Science practice which focuses on delivering solutions via optimization, simulation techniques, 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 Lead Decision Scientist, you will be expected to work independently on client engagements, take part in the development of our Optimization and Simulation discipline, aid in business development, and contribute innovative ideas and initiatives to our company. You will:

• Become a trusted advisor working with clients to design end-to-end optimization and simulation solutions

• Write code in SQL, Python and R following software engineering best practices

• Lead small teams and work as an individual contributor over the entire data science lifecycle – from problem definition to model automation and deployment across various industries

• Support the development of client relationships and lead internal value-driving initiatives for the company

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 solution 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:

• MS/PhD in Operations Research, Industrial Engineering, Computer Science, Mathematics, Engineering, or other STEM-related field

• Proficiency in a programming language such as Python, and/or proficiency in an optimization platform, AIMMS/AMPL/GAMS/Pyomo

• Practical experience with writing linear programming and mixed integer programming models and in open-source solvers and commercial solvers, such as Gurobi, CPLEX or XPRESS

• Experienced in simulation techniques and tools such as Arena, Simio, Anylogic, JaamSim or Simpy

• Excellent communication and teamwork skills

• Strong analytical and problem-solving skills

• 3+ years of practical data science experience

• 3+ years of consulting experience (preferred)

• Familiar with data visualization platforms such as PowerBI, Tableau or Sigma

• Knowledge of any of the following tools is a plus: Databricks, Snowflake, Dataiku, AWS, Sagemaker

• Oil and gas industry experience is a plus

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