Other | Hiring | Data Scientist | New Delhi, Delhi, India | BigDataKB.com | 2022-09-28

Job Location: New Delhi, Delhi, India

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โ€ข Identify valuable data sources for the business functions and automate collection processes
โ€ข Processing, cleansing, and verifying the integrity of data used for analysis
โ€ข Analyze large amounts of information to discover trends and patterns
โ€ข Build predictive models and machine-learning algorithms

โ€ข Combine models through ensemble modeling
โ€ข Doing ad-hoc analysis and presenting results in a clear manner
โ€ข Creating automated anomaly detection systems and constant tracking of its performance
โ€ข Propose solutions and strategies to business challenges
โ€ข Collaborate with Marketing, Sales, IT and other business teams for processing, cleansing, and verifying the integrity of data used for analysis
โ€ข Proactively enhancing data collection procedures to include information that is relevant for building analytic systems
โ€ข Working closely with Marketing analytics team to provide data insights for Loyalty programs, Cross Selling, Up Selling and other marketing initiatives

ESSENTIAL ATTRIBUTES Education background
โ€ข BE/Btech/B.A/B Sc in Statistics, Maths, Computer Science or equivalent
โ€ข Good academic records with advanced understanding in database management

Years of experience
โ€ข 5+ years of hands-on experience in developing predictive models and other advanced statistical approaches in a corporate or IT analytics company
โ€ข Preferred to have worked on data analytics solution for B to C or customer centric environment (experience with consumer durable/electronics is a plus)

Specific skill set
โ€ข Proficiency in statistical data analysis and data mining packages
โ€ข Experience with common data science toolkits such as R
โ€ข Advanced knowledge of data management tools
โ€ข Advanced programming skills
โ€ข Comfortable in using data visualization tools like Power BI Ability to effectively balance implementation of highly technical models in a sales environment
โ€ข Ability to work in agile, test & learn, and iterative environment

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