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Senior Data Scientist

Minimum qualifications

Bachelor’s degree in statistics, mathematics, economics, computer science, engineering, or similar quantitative discipline 3-6 years working in a similar quantitative role
Proficiency in using query languages such as SQL, Hive, Spark QL
Proficiency in using statistical modeling tools such as R, SAS, SPSS
Experience in extracting, cleaning and preparing data for modeling
Experience in building and applying machine learning/predictive modeling in real-world use cases
Power-user of Microsoft Excel
Having great communication & presentation skills
Creative and innovative problem-solving skills
Good team player, result oriented attitude, strong attention to detail and analytical mind
Intellectual curiosity and a passion for data and analytics
Strong desire to take initiative; ability to deal with ambiguity and competing objectives
Advanced level of English

Preferred qualifications

Solid foundation in statistics
Experience in one programming language, e.g. Python, Perl, C/C++, Java
Experience with a consumer facing company
Exposure to big data systems and methodologies


* Work on all aspects of creating predictive intelligence including collecting requirements, establish analytics work plan, data exploration, cleansing, and preparation, identifying features, selecting algorithms, building and testing models, iteratively improving solutions
* Perform hands on data analysis to design predictive systems or improve the performance of systems.
* Collaborate with software developers to put predictive intelligence in production
* Design scalable and efficient methods for big data
* Research new algorithms and machine learning solutions for solving business problems
* Present complex ideas and their value proposition to non-technical audience as a coherent story with clear and easy to follow conclusions
* Provide guidance to business decisions with interpreting statistics, prepare high-level presentations of data for executive review
* Collecting requirements for both new and existing products of the company
* Handle prioritization of various initiatives, and communicate with key stakeholders regarding progress

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