Operations Research Scientist

2 months ago

bangalore, India Tredence Inc. Full time

Job Description:


As an Operations Research Scientist at Tredence, you will:


1. Perform Data Analysis and Interpretation:


o Analyze large datasets to extract meaningful insights and support decision-making processes. Use Python to process, visualize, and interpret data in a clear and actionable manner.


2. Develop and Implement Models:


o Create mathematical models to address complex business problems and improve operational efficiency. Ability to use solvers like CPLEX, Gurobi, FICCO Xpress. Free solvers like Pulp, Pyomo etc.


o Apply optimization techniques and heuristic methods to devise effective solutions.


o Design and implement algorithms to solve optimization problems and enhance existing systems with advanced techniques like column generation, decomposition techniques


o Test and validate algorithms to ensure accuracy and efficiency.


3. Collaboration and Communication:


o Work closely with cross-functional teams including data scientists, engineers, and business stakeholders to understand requirements and deliver solutions.


o Present findings and recommendations to both technical and non-technical audiences.


Qualifications:


· Education: Bachelor’s or master’s degree in operations research, Applied Mathematics, Computer Science, Engineering, or a related field.


· Experience: 1-2 years of professional experience in operations research, data science, or a related field.


· Technical Skills:


o Proficiency in Python, including libraries such as NumPy, pandas, SciPy, and scikit-learn, Pulp, Pyspark


o Strong background in mathematical modeling and optimization techniques.


o Experience with heuristic methods and algorithm development.


· Analytical Skills:


o Ability to analyze complex datasets and derive actionable insights.


o Strong problem-solving skills with a detail-oriented approach.


· Soft Skills:


o Excellent communication skills, both written and verbal.


o Strong team player with the ability to work independently and manage multiple tasks.



Preferred Qualifications:


· Experience with additional programming languages or tools (AMPL, LINGO, AIMMS).


· Familiarity with machine learning techniques and their applications in operations research.

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