Noida, Uttar Pradesh
Job Summary
Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks
Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc.
Use latest advancements in AI/ML to solve business problems
Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons
Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed.
Develop or optimize modules to call web services for real time integration with externa systems
Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects
Key Responsibilities
Experience: 4+ Years of experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning.
Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc.
Should be from a statistical background.
Experience in implementing planning applications will be a plus
Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field
Languages: Python and/or R for Data Science
Skill Requirements
Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing.
Characteristics: Independent thinkers Strong presentation and communications skills
We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function.
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