Operations Research/Computational Scientist Consultant

0 years

15 - 30 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

  • Develop Advanced Models: Design and implement sophisticated operations research models to optimize various business processes.
  • Algorithm Implementation: Create and refine algorithms for solving large-scale computational challenges efficiently.
  • Cross-Functional Collaboration: Collaborate with teams across departments to identify problem areas and provide comprehensive, data-driven solutions.
  • Simulations and Testing: Develop simulation models to test, analyze, and validate proposed solutions for various scenarios.
  • Documentation and Reporting: Prepare detailed technical reports and presentations for internal and external stakeholders.
  • Continuous Learning and Application: Stay current with the latest developments in operations research and computational strategies to incorporate into company projects.
  • Mentorship and Guidance: Mentor junior team members, fostering growth and encouraging knowledge sharing within the team.

Qualifications And Skills

Education:

Ph.D. in Operations Research, Applied Mathematics, Computer Science, or a related discipline.

Technical Expertise

  • Advanced knowledge in mathematical modeling, optimization algorithms, and computational methods.
  • Proficiency in programming languages such as Python and C (mandatory).
  • Experience with optimization tools like Gurobi, CPLEX, or similar software.
  • Familiarity with machine learning and data analysis frameworks is a plus.

Problem-Solving Ability:

Strong analytical skills and the ability to develop creative solutions for complex problems.
  • Communication Skills: Excellent communication skills to effectively convey complex technical concepts.
  • Teamwork: Strong team collaboration skills and the ability to contribute to a multi-disciplinary team environment.
Performance Expectations
  • Develop and implement efficient, high-quality computational models aligned with company goals.
  • Deliver scalable and maintainable solutions that meet project timelines.
  • Engage effectively with stakeholders, presenting findings and progress clearly.
  • Mentor junior colleagues and contribute to fostering a culture of continuous learning.

Benefits And Compensation

  • Work Environment: Flexible work options with primary operations in Bangalore and opportunities in Pune and Gurgaon.
  • Professional Growth: Access to professional development opportunities including workshops and conferences.
  • Health Coverage: Comprehensive health insurance and wellness initiatives.
  • Work-Life Balance: Commitment to maintaining a 40-hour work week with a focus on balanced work-life integration.
Skills: data analysis,cplex,python,algorithms,optimization algorithms,c,operations research,machine learning,mathematical modeling,computational methods,gurobi

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