Data Scientist (Reference: Data Scientist)

Job summary

Career Level:
Mid Career (2+ years of experience)
Bachelor's Degree
Job type:
Full time
Apply before:
30 Nov, 2017

Data Scientist

• Bc's degree, preferably in a related field (e.g., Engineering, Computer Science, Statistics, Applied Math)
• 2-4 years' of working experience in a similar Job
• Experience in advanced numerical methods in data analysis working with large data sets
• Experience in using data-exploration techniques to discover new or previously unasked questions.
• Experience with tools required to extract, transform, visualize data and BI solutions
• Experience with Big Data framework Hadoop, Hive, HBase, Spark, Kafka
• Working knowledge of statistical learning, machine learning and stream processing
• Working Knowledge of Python, R, Java, SQL and Excel, and ability to develop the required applications under different system architectures
• Fundamental understanding of Statistics hypothesis testing (t-test, p-values), confidence intervals, regression, classification, and optimization.
• Strong algorithmic problem-solving skills, and ability to solve complex problems with incomplete data
• Demonstrated analytical ability, problem deconstruction, statistical competency, meticulous forensic analysis skills, data validation, and scientific rigor.

• Determine existing and available datasets within the company that are valuable to data analysis
• Collect data required to extract actionable insights
• Develop new tools and metrics for key decision making regarding the expansion and utilization of a POS Network
• Develop robust and scalable code and applications for internal purposes to analyze complex temporal and geospatial data sets.
• Do research and build actionable visualizations/reports that drive decisions
• Other related duties as assigned

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