Operations Research Professional Coders Brain

4.0 - 7.0 years

3 - 6 Lacs

gurgaon, haryana, india

On-site

Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Analyzing the Data Science algorithms that could be used to solve a given problem and ranking them by their success probability Developing robust solutions for logistics for vehicle routing, scheduling, planning, demand forecasting, workforce management, network design & optimization, etc. Develop solutions based on advanced statistical modeling, simulations, optimization algorithms, etc. to help decision makers take complex business decisions in various business scenarios Lead/ collaborate with a team of data scientists in developing and delivering machine learning models for production setting Understand key business processes, operational constraints, critical bottlenecks and metrics to optimize at a detailed level Improve key organizational metrics through developing data-science based solutions Perform data wrangling and due diligence activities on data quality Performing Exploratory Data Analysis (EDA), defining the preprocessing or feature engineering to be done on a given dataset, developing Machine Learning models, validating models, deployment, etc. Collaborate with the application development team for deploying the data science solutions Proactively drive impact to business by owning the data science initiatives end-to-end and collaborating with other stakeholders Collaborate with the Operations, Network, Control Tower and Business Analysis team to develop cutting edge analytics solutions that improve the business Maintain thorough and comprehensive documentation of data science initiatives Develop robust work products by following best practices through all stages of development, testing & deployment ELIGIBILITY: BE/Tech in Engineering, MBA/Masters/PhD candidates preferred Strong background in strong in Statistics, Supply Chain and Operations Research concepts Domain experience in working on logistics, supply chain or operations research areas would be preferred Experience in solving complex & large scale problems such as linear, non-linear programming, mixed integer optimization, etc. Ability to independently and proactively drive initiatives with minimal supervision Strong working knowledge of solvers such as CPLEX, GUROBI, LINDO, etc. Proficient in Python & R, with sound knowledge of OOPS concepts Expertise in Optimization, Simulations, Queuing Theory, Game Theory, Forecasting Techniques, etc. Familiarity with statistical modeling, machine-learning approaches & deep-learning Experience in using Big Data platforms, Spark & Hadoop platform would be preferred Excellent communication skills and ability to effectively manage stakeholders Experience with working on a variety of Logistics, Supply Chain or Operations research use-cases in Ecommerce Excellent understanding of statistics, probability, linear algebra and other mathematical concepts that supports modern ML and Optimization techniques Familiarity with data visualization tools

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