Description

Apply advanced statistical techniques and causal modeling to derive actionable insights from complex datasets.

This role is on-site.

Responsibilities

• Perform formal statistical analyses and apply causal modeling to identify cause-and-effect relationships.
• Design and analyze experiments to test hypotheses and validate findings.
• Manipulate large datasets and build data models using SQL.
• Develop advanced statistical models and visualizations using Python or R.
• Create interactive dashboards in Tableau to communicate findings to stakeholders.

Required Skills

• 5+ years of hands-on experience using Python, SQL, and Tableau on a weekly basis.
• Proficiency in SQL for data manipulation and modeling.
• Advanced skills in Python or R for statistical analysis and visualization.
• Expertise in creating interactive dashboards with Tableau.
• Proven experience in probabilistic and statistical modeling.
• Experience with experimental design and causal inference.

Preferred Skills

• Bachelor's or Master's degree in Statistics, Mathematics, Data Science, or a related field.

Key Skills

Education

Bachelor's or Master's degree