Operations Research and Computational Scientist

As an Operations Research and Computational Scientist at Pranatree LLC, you will be part of a dynamic team based in Bangalore, with additional opportunities in Pune and Gurgaon. Your primary responsibility will be to develop and implement optimization models and computational solutions to address complex business challenges, thereby playing a crucial role in data-driven decision-making processes within the company. Your key responsibilities will include designing and executing advanced operations research models to optimize various business processes, as well as creating and refining algorithms to efficiently solve large-scale computational challenges. Collaborating with cross-functional teams, you will identify problem areas and provide comprehensive, data-driven solutions. Moreover, you will develop simulation models to test proposed solutions and prepare detailed technical reports and presentations for internal and external stakeholders. To excel in this role, you must hold a Ph.D. in Operations Research, Applied Mathematics, Computer Science, or a related field. Additionally, you should possess advanced knowledge in mathematical modeling, optimization algorithms, and computational methods. Proficiency in programming languages like Python and C is mandatory, along with experience in optimization tools such as Gurobi or CPLEX. Familiarity with machine learning and data analysis frameworks will be advantageous. Your problem-solving abilities, strong analytical skills, and excellent communication skills will be key assets in this role. You will also need to demonstrate strong team collaboration skills and contribute effectively to a multi-disciplinary team environment. Your performance will be evaluated based on your ability to develop efficient computational models aligned with company goals, deliver high-quality solutions within project timelines, and engage effectively with stakeholders. At Pranatree LLC, you will have access to flexible work options, professional development opportunities, comprehensive health insurance, and a commitment to maintaining a healthy work-life balance. This role presents various challenges and opportunities to tackle complex optimization problems, drive impactful projects, and contribute to a culture of innovation and continuous learning within the team.,