Job Description:
We are seeking an experienced Statistician with a strong background in formal data analysis, including probabilistic and statistical modeling, experimental design and analysis, causal modeling, and explanatory machine learning. The ideal candidate will have at least 5 years of experience using Tableau, SQL, and Python (or R) on a weekly basis and must excel in both technical skills and communication.
Key Responsibilities:
Perform formal statistical analysis and causal modeling.
Manipulate and model data using SQL.
Utilize Python or R for statistical and causal modeling, and for creating visualizations.
Develop and maintain interactive visualizations using Tableau.
Communicate complex analytical insights effectively to both technical and non-technical stakeholders.
Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years.
This Statistician will:
1. Require a working knowledge of formal statistical analysis and causal modeling 2. Use SQL to manipulate and model data
3. Use Python or R perform statistical and causal modeling; create visualizations; 4. Use Tableau to create interactive visualizations
5. Require excellent communication skills
Our 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.
Excellent communication is a top priority
Requires a working knowledge of probability theory and statistical analysis
Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years.
This role will:
Use Tableau to create visualizations
Use SQL to manipulate and model data
Use python to manipulate and model data; create visualizations; analyze data
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