Roles and Responsibilities :
- Collaborate with business stakeholders to understand and analyze business requirements.
- Gather data from various disparate sources, which may include RDBMS, Web APIs or any other customized system.
- Organize large datasets in such a way that actionable insights can be extracted. This may include finding innovative ways to integrate datasets that don- t naturally mesh together.
- Perform exploratory data analysis to analyze datasets and make broad conclusions based on initial evaluations.
- Evaluate various options in terms of appropriate modelling technique/algorithm and apply the one which fits best in the overall business & technical environment.
- Apply predictive modeling and machine learning to improve customer experiences, revenue generation, fraud detection, cost saving as well as other business benefits.
- Design & build meaningful data visualization that explains model outcome. Link the findings with insights to describe business impact in effective manner.
- Lead a team of data analysts to deliver large and complex analytics projects.
Education & Experience :
- Bachelor's / Master's degree from a recognized institute in Computer Science, Mathematics, Statistics, Engineering, Bioinformatics, Physics
- Minimum 6 years of relevant work experience with a proven track record of designing, developing and deploying advanced analytics solutions in commercial setting
Desired Skills and Abilities :
- Strong pattern recognition and predictive modelling skills
- In-depth knowledge of various modelling algorithms e.g. Regression and Classification, Time Series Models, Neural Networks
- Proficiency in Python/R/Spark
- Knowledge of databases, data modelling, Hadoop and distributed computing networks
- Strong SQL skills
- Experience in agile software development environment
- Presentation Skills : Ability to present statistical results to business stakeholders in clear and compelling manner
- Communication Skills : Excellent communication skills, both written and verbal
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