Tata Consultancy Services
Data Scientist with Python, R, SQL and Tableau
Tata Consultancy Services, Austin, Texas, us, 78716
Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 10-12 years. Excellent communication is essential.This Statistician Will
Require a working knowledge of formal statistical analysis and causal modeling.Use SQL to manipulate and model data.Use Python or R to perform statistical and causal modeling; create visualizations.Use Tableau to create interactive visualizations.Require excellent communication skills.My goal is to add people to the team who have experience with formal data analysis, which generally entails probabilistic and statistical modeling, experimental design and analysis, causal modeling, and explanatory machine learning. I would expect anyone who can do those things is proficient with the standard tools, like Python, SQL, and Tableau. One of the main challenges I have faced is that most of the contractors I have interviewed equate building visualizations and dashboards to analysis, when that’s actually just the starting point. Data exploration is essential, but insufficient to derive robust insights. I am looking for someone who has this same perspective and knows how to use the appropriate techniques to derive robust insights.
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Require a working knowledge of formal statistical analysis and causal modeling.Use SQL to manipulate and model data.Use Python or R to perform statistical and causal modeling; create visualizations.Use Tableau to create interactive visualizations.Require excellent communication skills.My goal is to add people to the team who have experience with formal data analysis, which generally entails probabilistic and statistical modeling, experimental design and analysis, causal modeling, and explanatory machine learning. I would expect anyone who can do those things is proficient with the standard tools, like Python, SQL, and Tableau. One of the main challenges I have faced is that most of the contractors I have interviewed equate building visualizations and dashboards to analysis, when that’s actually just the starting point. Data exploration is essential, but insufficient to derive robust insights. I am looking for someone who has this same perspective and knows how to use the appropriate techniques to derive robust insights.
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