Manager - Optimization & Machine Learning - Manufacturing

About Our Client

Our client is a leading global manufacturing setup and they are looking at hiring an experienced analytics professional for growing their advanced analytics setup.

Job Description

Our client is looking for a qualified person to lead a team of highly talented and passionate data analytics professionals working on developing math-based solutions to complex real-world problems using Operations Research, Statistics, Econometrics, and Machine Learning. The goal of the division is to drive evidence-based decision making by providing insights from data. The team is focused on working across a wide range of functions such as Manufacturing, Supply chain, Logistics, Warranty/Quality, Advanced Operations, etc

Key Roles and Responsibilities of Position:

- Lead and contribute to analytics projects in the areas of manufacturing, supply chain, logistics, purchasing, and product development

- Collaborate with global partners in understanding business needs and translating the needs into analytical problem formulations

- Use appropriate statistical/optimization tools and methods to create robust solutions for business problems

- Research and implement novel quantitative modeling approaches

- Mentor a team in the areas of optimization and statistical modeling

The Successful Applicant

- Ph.D. or M.S. in Operations Research/Statistics/Applied Mathematics/Engineering optimization or any other related discipline,

- 8+ years of analytics experience in the domains of manufacturing, logistics, supply chain, product development

- In-depth technical knowledge and experience in Operations Research, Engineering Optimization, and Statistical modeling: including Bayesian and non-parametric statistics

- Hands-on experience in developing statistical and optimization models for applications in manufacturing, supply-chain, logistics, and product development

- Ability to translate a business problem into an analytical problem, recommend, implement and validate predictive/prescriptive models, and generate/deliver insights to stakeholders

- Experience in using at least one of: optimization tools like CPLEX, AMPL, GAMS; statistical tools like R, SAS, Matlab; and programming languages like C, C++, JAVA

- Strong problem solving and conceptual thinking abilities

What's on Offer

Opportunity to build and grow the analytics practice for a global manufacturing setup