Data Scientist – Optimization Specialist (LP/NLP)
COMPANY OVERVIEW:
Our client is a trusted partner to many Fortune 500 organizations, serving their digital and analytics needs for 20+ years. They have been recognized by Everest Group in 2023 as a Leader in Advanced Analytics and Insights Services, solidifying their commitment to excellence.
The company’s expertise is in transformation, data science, and change management that helps make businesses more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource and time-intensive platform designs or migrations, they look deeper at the entire value chain to integrate strategies with impact.
POSITION OVERVIEW:
We are seeking an experienced and passionate Data Scientist who has strong theoretical knowledge and practical experience in operations research techniques such as mathematical programming (Linear & Non-Linear programming), Heuristic/ Metaheuristics algorithms & Stochastic modeling.
RESPONSIBILITIES:
- Collaborate with cross-functional teams to understand business requirements & translate them into optimization problems
- Mathematically formulate objective function & constraints for complex optimization problems
- Design & implement optimization models for various business challenges
- Conduct thorough analysis of optimization results to ensure accuracy & relevance
- Document & present findings, solutions & methodologies to both technical and non-technical audiences
PREFERRED PROFILE:
- Bachelor’s or Master’s (preferred) degree in in a quantitative or technical field such as Computer Science, Data Science, Computer Engineering or equivalent
- 4+ years of experience in Data Science and 2+ years of experience building optimization models for various business use cases
- Strong theoretical background & practical industry experience in Operations Research techniques such as Mathematical Programming (Linear Programming, Non-Linear Programming, Mixed-Integer Linear Programming), Heuristic/ Metaheuristics algorithms & Stochastic modeling
- Experience running optimization models in Python using packages like PuLP, PYOMO, CVXPY etc.
- Experience working with CPLEX
- Demonstrated interest in learning about emerging data science and optimization tools and techniques
- Strong communication, problem solving, and organizational skills
- Ability to work collaboratively with variety of business, data science & technical stakeholders
LOCATION: Remote in US
Job ID# 1700160
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