Data Science
Year Bengaluru, Karnataka, India
Job Description
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Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
As part of our Analytics and Insights Consumption team, you\xe2\x80\x99ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You\'ll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Years of Experience: Candidates with 6+ years of hands on experience Must Have:
- Experience in Supply Chain Projects of demand planning & forecasting, inventory, optimization, logistics, network design, segmentation in sophisticated and complex environments
- Sound knowledge and experience in forecasting techniques (Holts Winter, ARIMA, ARIMAX, SARIMA, SARIMAX, etc.) and Supervised/unsupervised machine learning techniques
- Good knowledge of statistics For e.g : statistical tests & distributions
- Experience in Data analysis For e.g : data cleansing, standardization and data preparation for the machine learning use cases
- Experience in machine learning frameworks and tools ( For e.g . scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib)
- Advanced level programming in SQL or Python/Pyspark
- Expertise with visualization tools For e.g : Tableau, PowerBI, AWS QuickSight etc.
- Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCP\xe2\x80\x99s Vertex AI platform, AWS SageMaker)
- Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow)
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Job Detail
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Job IdJD3305690
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationBengaluru, Karnataka, India
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EducationNot mentioned
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ExperienceYear