About the job
Job Description:
Role and Responsibilities:
Work closely with the analytics & automation team to integrate performance forecasting models with contractual liability to enable replacement strategies
Mange the deployment of prototype algorithms to production environment with focus on version control, high quality through automated testing and security
Skills and Experience:
Demonstrated experience in developing heuristic methods, problem decomposition, predictive modelling, data mining, statistical analysis, classification , decision trees etc
Experience in tools such as Pulp, Gurobi, Cplex or similar tools ( discrete optimization, integer programming, linear, non-linear, mixed-integer, large-scale, network, robust, stochastic)
Experience with Python analytics libraries like pandas, scipy etc
Experience with NoSQL databases like MongoDB, Hadoop & AWS Redshift preferred
Good to have understanding of Python based ML libraries like sklearn, keras etc
Fast Learner who is open to try out new technologies and thrives in challenging and fast paced work environment
Qualifications:
Master’s Degree with 3+ years of experience in Operations Research, Industrial Engg, Computer Science, Math or Optimization related field
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