• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 30th Jan 2024

•              Identify business problems and solve them by using various numerical techniques, algorithms, and models in Operations Research, Data Science, and Data Mining.

•              Tackle problems on a broad spectrum of areas: Supply Chain Optimization, Inventory & Capacity Planning, Process Design & Optimization, Financial Modelling, Demand Forecasting.

•              Design and develop creative and innovative Business Intelligence/Analytic solutions from the data coming from various custom systems and databases.

•              Partner with internal stakeholders to understand business requirements, work with cross-functional data and business teams across Enterprise Operations to build efficient and scalable data solutions.

•              Analyze current business processes using operational dashboards and identify levers for improving overall performance. Recommend and drive process changes based on robust analysis of operational data and user behaviour.

•              Collaborate with cross-functional data and business teams across Enterprise Operations to access and manipulate data, explain data gathering requirements, display results, and build efficient and scalable analytics solutions

•              Define, compute, track, and continuously validate business metrics with descriptive and predictive analytics

•              See beyond the data to identify solutions that will raise the bar for all things operations related. Need to be self-starter.

Requirements:

      Bachelor’s or master’s degree in operations research, Supply Chain Management, Computer Science, Systems Engineering, Mathematics, Statistics, Quantitative Finance or related field and 5 years of work experience in any analytics-related occupation.

Experience in:

•              Building analytics solutions and developing algorithms for machine learning, statistics, mathematical programming, and simulation in industry and/or academia

•              Business intelligence and data warehousing

•              Data visualization tools, specifically Tableau and statistical analysis tools such as R or Python

•              SQL development and statistical data analysis

•              Building dashboards and utilizing data to build reporting solutions

•              Handling large volumes of data, and performance tuning

•              Developing with R/Python, SQL

•              Familiarity with optimization software such as Gurobi/Xpress

•              Simulation Modelling using Any logic(Highly preferable), Arena, simpy or simmeR

•              Solving problems by providing practical business insights from large, complex data sets

•              Presenting technical content to general audiences