Data Scientist
3 weeks ago
Responsibilities :
- Work cross-functionally with teams to analyse usage and uncovering key, actionable insights about customer behaviour.
- Identify opportunities where scientific techniques can be applied to solve business problems.
- Designing and measuring controlled experiments to determine the potential impact of new approaches.
- Help with various data analysis and modelling projects.
- Take ownership of the end-to-end system from Problem statement to Solution Delivery and leverage other teams if required
- Understanding and reporting current trends and performances in detail and identifying opportunities
- Run statistical analysis and create predictive models based on past user data and behaviour.
- Build and improve machine learning models used in production and manage existing models
- Machine Learning Algorithms, Time Series Analysis , database design, ETL processes (SSIS) and SQL analysis (SSAS) , Data visualisation, analytics, and integration techniques.
- Fluency in a programming language in R/Python/SAS/SQL/ R Shiny and other self-service tools (KNIME/ DataIku etc).
- Experience in AI/ Machine Learning, real time analytics , Big data platforms & Cloud Platforms like AWS/Google/Azure.
- Should have good knowledge on Deep Learning , Forecasting models, prophet/neural network
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