Responsibilities :
- This role will be working in defining personalized recommendation models for Digital Customer Engagement product suite
- Solve business problems through data exploration, descriptive analysis, statistical modelling, predictive models (including machine learning), and mathematical optimization.
- Work with Product Engineering teams to implement such solutions on Big Data platforms, with involvement at all stages of the development cycle from architecture to coding to testing.
- Interact with team to discuss the business problems and present solutions.
- Be capable of working independently or with Data Scientists as the situation demands.
- Have the ability to tackle a broad variety of problems in the digital domain and come up with the world class solutions and products expected in the industry.
Skills & Knowledge Technical / Functional and Managerial :
- BS/MSc in Computer Science / Mathematics / Engineering fields with emphasis on quantitative skills, from a top-tier college.
- 2+ years of work experience as a Data Scientist..
- Skilled in data analysis and modelling using tools such as Python, R, Julia, SAS, Scala, MATLAB, Octave, SPSS.
- Practical programming skills in languages such as Java, C++.
- Expertise in several of the following areas: Statistics, Predictive Modelling, Time Series Forecasting, Machine Learning, Linear and Mixed Integer Programming, Nonlinear Optimization, Stochastic Processes.
- Demonstrated ability, originality and creativity to work independently to solve hitherto unseen business problems as a Data Scientist.
- Passion and strong interest in learning Data Scientist skills and technologies.
- Excellent communication skills to interact with teams.
- Ability to work in a fast-paced and agile development environment.
Preferred :
- M.S. or Ph.D. in Computer Science / Mathematics / Operations Research / Physics / Economics / Engineering discipline from a top global university.
- Experience in working as a Data Scientist in the travel industry.
- Solid grounding in Computer Science.
- Experience in Product Development / Product Engineering.
- Experience in working on Big Data platforms such as Impala, Cassandra, MongoDB, CouchBase, Spark.
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