Data Scientist

Job Description

Responsibilities

• Determine, create and maintain the best Statistical models be to be used, by considering SKU demand behavior using segmentation strategy, to generate high quality demand statistical forecast with low forecast error and bias
• Refine forecasting models, by reviewing forecast performance and incorporating feedback from the Demand Planner, to improve forecast error and bias metrics
• Analyze the model performance every month / week where MAPE (Main Absolute Percentage Error) is deteriorating and post process the output and if required finetune the output
• Propose additional strategies to have a better code (efficient or more accurate) to execute in Databricks.
• Collaborate with Demand Planners to provide explainability of models and gather feedback to improve the models
• Lead, develop, and deploy some algorithms built on databricks that help to the predictive process to be more efficient and accurate.a a high-qualitymonth / weekpost-processmore , fine-tuneDatabrickswill you bring

What extra ingredients you will bring:

• Lead the statistical forecasting process to provide the business a statistical base forecast for its demand planning process.
• Lead some continuous improvement projects to get more efficient, robust, and accurate models to predict.
• Analyse business requirements as a guide for data modelling and apply data analysis, design, modelling, and quality assurance techniques, based on a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions
• Manage the iteration, review and maintenance of data requirements and data models and you will assist in creating the sematic layer of data
• Choose a suitable data modeling approach for each project, such as by assessing the suitability of existing data models and build data models with the flexibility to change when business requirements change
• Reconcile multiple logical source models into a single, logically consistent model and you will ensure that the proposed model follows data architecture guidelines and best practices
• Design, build, implement and/or maintain Python/PySpark algorithms to execute predictive analysis which help to improve planning processes.
• Analyse code, define and implement strategies to have more accurate and efficient results

Are you interested in this position?
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