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Data Scientist - Central Forecasting Analytics

CBay Systems I Pvt. Ltd.
Experience : 2 Years
Location : Bangalore
Posted on 05 Oct 20
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Job DescriptionLast Date 05 Dec 20
Data Scientist - Central Forecasting Analytics Location Bangalore, Karnataka, India Area of Interest Supply Chain Job Type Professional Technology Interest Internet of Everything Job Id 1303315 New You will be a key member of the Central Forecasting Analytics team responsible for delivering a cutting-edge Demand Forecast Stream for Ciscos entire portfolio of products The Team The Central Forecasting team in GP drives several core capabilities and processes relating to the demand signal generation and its communication Develops a Consensus Plan for Global Planning for the highest impact Products/Product IDs Aligns internal GP and external stakeholders in various groups on the Demand Signal and its drivers Generates Signal Strategy and generates the Signal Develops and improves machine learning (ML) and artificial intelligence (AI) capabilities to generate automated or expert augmented forecast streams Aligns Supply Chain leadership on key drivers and outcomes via Monthly Business Review process (MBR) Improves demand generation and communication processes to deliver an accurate, well understood demand signal with alignment across functions on the intended outcomes What Youll Do You will have end-to-end ownership of the Time Series-based Demand Forecasting stream that is based on advanced econometric/statistical approaches and interpretable machine learning algorithms to provide increasingly accurate forecasts for Ciscos 15K portfolio of Product IDs You will Develop and optimize time-series forecasting algorithms for individual Product IDs, Products, and hierarchies of products using the universe of univariate and multi-variate statistical and Machine Learning models and robust metrics and testing Build key data sets to empower operational and exploratory analysis Develop an understanding of Ciscos customers, competitors, products, and economic/growth drivers, and leverage this for exploring and engineering new features to improve forecasting results Develop and apply traditional and advanced clustering techniques to improve the consistency of selecting the best algorithm Explore, develop, and deliver transparent and automated approaches to synthesize or select the best algorithm for each Product/Product ID Automate the ETL and Analytics pipeline in a Cloud-based setting Monitor the forecasts and key forecast stream performance metrics, understanding root causes of changes in the forecast and the stream metrics Develop Dashboards to expose key insights from the Time Series Forecast Stream and deliver to the Global Planning organization Prepare for and conduct reviews of the Time Series Forecast Streams recommendations with the Global Planning organization Help evaluate and onboard external forecasting platform or forecast-as-a-service vendors as needed Who Youll Work With You will work closely with the other teams in Central Forecasting including the Systems, Data, and Solutions team and the Signal Strategy team, key stakeholders like the Demand Planning and Sales Planning functions in Global Planning, and collaborate with other Data and Analytics teams in Supply Chain, IT, and Operations to improve forecast accuracy You will interact with people across a wide range of experiences, from early-in-career talent to executives Who You Are You have a Bachelors degree with 4 years of experience or a Masters degree with 2 years of experience in solving business problems using advanced analytics You have majored in Engineering, Operations Research, Mathematics, Economics, or Statistics You have experience using statistical and machine learning methods to build and optimize univariate and/or multi-variate time-series forecasting models You have a good understanding of the statistical foundation behind econometric or traditional supervised and unsupervised machine learning algorithms, including clustering and neural networks You are familiar with the theory behind Optimization methods You have built predictive models using R and/or Python that have solved real business problems You have automated analysis pipelines via SQL and Python based ETL frameworks You have built visualizations using Excel, Tableau, Python, or R that have provided important data driven and actionable insights You are good at explaining complex modeling approaches and results in simple terms You are a fast learner who can learn new analytical approaches quickly and leverage these to solve problems and deliver business outcomes You are a self-directed, innovative thinker In addition to a strong attention to detail, you also seek to see the strategic implications for the business in the big picture You have a curious mind, a passion for synthesizing information from multiple sources, the ability to interpret data logically, a scientific mindset that explores and experiments systematically, and a habit of translating data into insights that drive action
  • Data Scientist - Central Forecasting Analytics
  • Experience : 2
  • Job Type : Full Time
  • Interview Type : Face to Face Interview


Job Type : Full Time
Interview Type : Face to Face Interview
Company Description
CBay Systems (I) Pvt. Ltd.
Apply now
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