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Home › Jobs › Data Science › Data Scientist - Demand Planning D430
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Data Scientist - Demand Planning D430

algoleap
Bengaluru
Experience1-2 years
Salary Not disclosed
LocationBengaluru
Job TypeFull time
Skills: Data Science Python SQL Statistics Machine Learning
Job Description
Job Title: Data Scientist - Demand Planning D430 Company: algoleap Job Category: Data Science Roles & Responsibilities: What You Will Do * Design and operationalize various kinds of descriptive, predictive and prescriptive analytics and data science relevant in the supply chain planning space. * Understand business; identify areas of improvement opportunities; collect and analyze data; build models in Python; and present results \& insights using the o9 platform. * Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series etc.) to their real\-world advantages/drawbacks * Develop and deploy models for demand sensing/forecasting, 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 and the ability to generate new ones as needed * Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects Work Location: Bengaluru, Karnataka, India Availability: Full time
Requirements
Must have \- Demand Planning, o9 experience mandatory * 4\+ years of experience in the field of Data Science and Analytics preferably in CPG or Manufacturing Domain * Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field * Strong programming skills and experience in using Python for Data Science * Strong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is needed * Deep Knowledge of statistical and machine learning algorithms for Time Series Forecasting * Experience in time series forecasting at scale (Like XG Boost, CatBoost, Light GBM , Neural Networks etc) * Experience in custom EDA (Exploratory Data Analysis) and Output Validations * Experience in building scalable ML frameworks for demand sensing including Identifying and collecting relevant input data, feature engineering, tuning, and testing. * 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. * Strong presentation and communications skills Key Skills: Data Science, Python, SQL, Statistics, Machine Learning Salary: Not disclosed
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