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Operations Research - SCM Optimization Specialist Tredence Inc.

3.0 - 8.0 years

0 Lacs

karnataka

On-site

As an Operations Research Scientist at Tredence, your primary responsibility will be to analyze large datasets in order to extract meaningful insights and support decision-making processes. You will utilize Python for data processing, visualization, and interpretation, ensuring that the information is presented in a clear and actionable manner. In addition, you will be tasked with developing and implementing mathematical models to address complex business problems and enhance operational efficiency. You should have proficiency in using solvers such as CPLEX, Gurobi, FICCO Xpress, as well as free solvers like Pulp and Pyomo. Your role will also involve applying optimization techniques and heuristic methods to devise effective solutions, and designing algorithms to solve optimization problems. Collaboration and communication are key aspects of this role, as you will work closely with cross-functional teams comprising data scientists, engineers, and business stakeholders. It will be essential to understand requirements and deliver solutions that cater to the needs of various stakeholders. Furthermore, you will be expected to present your findings and recommendations to both technical and non-technical audiences. To be successful in this position, you should hold a Bachelor's or Master's degree in operations research, Applied Mathematics, Computer Science, Engineering, or a related field. A minimum of 3-8 years of professional experience in operations research, data science, or a related field is required. Proficiency in Python and its libraries such as NumPy, pandas, SciPy, and scikit-learn, along with Pulp and Pyspark, is essential. A strong background in mathematical modeling and optimization techniques, as well as experience with heuristic methods and algorithm development, will be advantageous. Analytical skills are paramount for this role, as you will be dealing with complex datasets and deriving actionable insights. Strong problem-solving skills, attention to detail, and the ability to manage multiple tasks independently are highly valued. Excellent written and verbal communication skills are necessary, along with the ability to work effectively as part of a team. Preferred qualifications include experience with additional programming languages or tools such as AMPL, LINGO, AIMMS, and familiarity with machine learning techniques and their applications in operations research.,

Posted 2 weeks ago

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Operations Research - SCM Optimization Specialist Tredence

3.0 - 8.0 years

0 Lacs

karnataka

On-site

As an Operations Research Scientist at Tredence, your main responsibilities will involve performing data analysis and interpretation. This includes analyzing large datasets to extract meaningful insights and using Python to process, visualize, and interpret data in a clear and actionable manner. Additionally, you will be tasked with developing and implementing mathematical models to address complex business problems, as well as improving operational efficiency. You should have the ability to use solvers like CPLEX, Gurobi, FICCO Xpress, and free solvers like Pulp and Pyomo. Applying optimization techniques and heuristic methods to devise effective solutions will be a key part of your role, along with designing and implementing algorithms to solve optimization problems. Testing and validating these algorithms to ensure accuracy and efficiency are also important tasks. Collaboration and communication are essential skills in this role, as you will work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand requirements and deliver solutions. Presenting findings and recommendations to both technical and non-technical audiences will be part of your regular interactions. To qualify for this position, you should have a Bachelor's or Master's degree in operations research, applied mathematics, computer science, engineering, or a related field. A minimum of 3-8 years of professional experience in operations research, data science, or a related field is required. Proficiency in Python, including libraries such as NumPy, pandas, SciPy, and scikit-learn, as well as Pulp and Pyspark, is necessary. A strong background in mathematical modeling and optimization techniques, experience with heuristic methods and algorithm development, and the ability to analyze complex datasets and derive actionable insights are also important technical skills. Furthermore, excellent communication skills, both written and verbal, and the ability to work effectively both independently and as part of a team are essential soft skills for this role. Preferred qualifications include experience with additional programming languages or tools such as AMPL, LINGO, and AIMMS, as well as familiarity with machine learning techniques and their applications in operations research. About Tredence: Tredence, founded in 2013, is dedicated to transforming data into actionable insights for over 50 Fortune 500 clients in various industries. With headquarters in San Jose and a presence in 5 countries, Tredence's mission is to be the world's most indispensable analytics partner. By blending deep domain expertise with advanced AI and data science, Tredence aims to drive unparalleled business value. Join Tredence on this innovative journey and contribute to the impactful work being done in the analytics field.,

Posted 1 month ago

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