Data Scientist

2 weeks ago


Gurgaon, India World Wide Technology Full time
Qualifications:

Education

- Preferably a Ph.D. but also open to 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)

Work Experience

- 4-6 years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / data engineer). D. Research and post-doctoral experience also counts.

Specialized Knowledge, Skills, and Abilities

We do not need an exceptional IQ of 160. All we need is curiosity, humility, and openness to learn. In other words, we just need a Beginner's Mind, even if you have decades of professional experience.

Analysis

- Experience with writing SQL queries, performing basic conversion and transformations (formatting date string), and obtaining statistical summaries by using windowing functions.- Experience with usage of R/RStudio, Python, JupyterNotebook- Experience with version control tool like Git- Strong experience with Excel and PowerPoint to present results.- Ability to write scripts to automate ETL tasks.- Experience in AI / Deep Learning for text/image/video analytics preferred.- Experience in Cloud Computing and data streaming preferred.

Problem Solving

- Ability to run standard model algorithms in R and Python, to perform: classification/regression, clustering, basic text analytics, image recognition, etc. g., run a classification problem using random forest, and obtain the variable importance, produce performance metrics/KPIs; run a k-means clustering problem, produce a KPI to quantify the goodness of clusters.- Demonstrated skills in selecting the right statistical tools given a data analysis problem.- 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.
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