Looking for candidates with the below experience:
- Any one(Forecasting,NLP,classification)
- Any cloud
- Deep learning
- Anyone(python,R,sql)
- Work cross-functionally with teams to analyze usage and uncovering key, actionable insights about customer behavior. Identify opportunities where scientific techniques can be applied to solve business problems
- Run statistical analysis and create predictive models based on past user data and behavior. Build and improve machine learning models used in production and manage existing models
- Designing and measuring controlled experiments to determine the potential impact of new approaches. Help with various data analysis and modeling projects
- Understanding and reporting current trends and performances in detail and identifying opportunities
- Place actionable data points and trends in context for leadership to understand actual performance and uncover opportunities. Take ownership of the end-to-end system from Problem statement to Solution Delivery and leverage other teams if required
Qualifications & Specifications :
- Bachelor's degree in computer science, engineering, statistics, economics or equivalent. Master's degree in relevant specification will be first preference
- Proven ability to use modeling, optimization, machine learning or text classification algorithms
- Possess a background in database design, ETL processes (SSIS) and SQL analysis (SSAS) to assist the Analytics team in formalizing their internal data flows and related reporting processes
- Data virtualization, analytics, and integration techniques
- Technology Prowess in R/Python/SAS/SQL/ R Shiny and other self-service tools (KNIME/ DataIku etc). Experience in AI/ Machine Learning, real time analytics and Big data platforms
- Cloud Platforms - AWS, Google or Azure
- For Analyst - 3 to 5 years of experience and for Sr. Analyst - 5 to 8 years of experience
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