Senior Data Scientist - Optimization

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. For the current requirement, we are looking for a Data Scientist - Optimization to support, maintain, and enhance the optimization models developed for Client.
Key Responsibilities:
Responsible for refactoring Distribution Optimization algorithm written in Python using Object Oriented Programming
Work with client stakeholders to understand key business problems, determine solution requirements, build statistical / ML / predictive models, and fine-tune for accuracy
The scientist should have exposure to Operations Research algorithm design and implementation. Advanced analytics experience is preferred.
- Should have a strong interest and ability to solve mathematical modeling including column generation, cutting plane &
LP tools like Cplex, Gurobi, GAMS, AMPL.
Successful compilation of results from various what-if scenarios using client’s data science platforms;
support client’s Decision Science team to deliver the simulation solutions to the business teams were performed
Ensure models are deployed and deliver projected business value
Work as part of a global team to solve problems in a computationally efficient manner
Model documentation – providing details where enhancements, bug fixes, or other modification
Requirements
5-10 yrs of optimization background with an extensive knowledge and experience in OOP using Python
Experience and knowledge on heuristic optimization and other optimization techniques
Maintaining and supporting optimization models developed by other data scientists
Ability to understand the business problem and convert it as a mathematical problem is preferred. Exposure to Optimization &
statistical software like Cplex, Gurobi, Google OR tool, Arena, SAS, SPSS is preferred.
Should have a scientific mindset and interest in Operation Research algorithms like routing optimization, mathematical modeling, meta-heuristics, heuristics, forecasting, simulation model, inventory optimization, supply chain management.
Creation of delta analysis for various what-if scenarios
Ability to engage with the client stakeholders to understand business problems, ideate &
converge on solution approach and develop analytical solutions
Ability to work with global teams and communicate effectively
Graduate degree in Operational Research, Data Science or Data Analytics or a relate quantitative field
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.