Data Scientist

Master’s or bachelor’s degree in a quantitative discipline (e.g., statistics, computer science, economics, mathematics, physics, electrical engineering, industrial engineering or other STEM fields)

2-3 years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / data engineer)

Experience with writing SQL queries, performing basic conversion and transformations (e.g., formatting date string), and obtaining statistical summaries by using windowing functions.

Experience with usage of R/RStudio, Python, Jupyter Notebook

Experience with version control tool like Git

Experience in AI / Deep Learning for text/image/video analytics preferred

Experience in Cloud Computing and data streaming preferred

Experience with charting tools & knowledge of the proper charting tool to use, whether Excel or Tableau. For instance, when to use box-and-whiskers plot, when to use waterfall. Ability to zoom-in to smaller data sets in Tableau or display subcategories

Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations

Qualifications

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Works closely with customers and WWT business, engineering and technology teams

 

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Works with complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conducts end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.

 

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Works on advanced analytics areas like deep learning and complex statistical data analysis

 

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Interacts with clients including in-person meetings, towards making business recommendations with effective presentations of findings, including visual displays of quantitative information

 

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Develops analysis, forecasting and optimization methods/models to provide the business solution to the clients

 

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Researches and develops internal capabilities to enhance the skill sets on latest data science developments, work towards producing innovative solutions to the existing challenges

 

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Owns the development of solutions and projects, research better ways and algorithms to improve a methodology, builds modules and frameworks

 

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Brings in new R&D ideas for learning