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Virtual Connect Solutions is seeking a data scientist with strong statistical analysis, causal modeling, and hands-on Tableau experience to join our Greater London team. You will work with Python, SQL, and Tableau to explore data and build visualizations.
The role emphasizes going beyond dashboards to derive robust insights through formal analysis, experimental design, and explanatory ML. Excellent communication is essential to present findings to stakeholders. AWS experience is a plus.
Please make sure that candidates have been using BI, SQL, and Python on a weekly basis for the past 5+ years.
Client 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.
Client would expect anyone who can do those things is proficient with the standard tools, like Python, SQL, and Tableau.
One of the main challenges client have faced is that most of the contractors they 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. Client is looking for someone who has this same perspective and knows how to use the appropriate techniques to derive robust insights.
We need strong Statistical Analysis candidate with hands on Tableau exp.
We are actively looking for a data scientist. Any data scientist should have experience with ML and building visualizations. (If they don’t have ML experience, they are a data analyst; not a data scientist.) The technology they use might vary, so I am looking for ones with experience in python, SQL, and Tableau.
Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years
Excellent communication is essential