Responsibilities

• Partner with internal teams and external clients.
• Formulate clear analytical hypotheses and translate business problems into data questions and analytical approaches.
• Identify, evaluate, test, and solve data quality issues.
• Extract, clean and transform complex datasets to support modeling and analysis.
• Build, evaluate and optimize state-of-the-art algorithms using machine learning and artificial intelligence including both traditional and generative AI.
• Develop audits to ensure the accuracy and quality of statistical models.

Qualifications

• 2+ years experience analyzing and transforming data using SQL or Python.
• 2+ years experience automating repetitive workflows using Python, SQL, Bash or similar.
• Experience with data preparation for statistical or machine learning models.
• Experience using Apache Spark.
• Experience publishing to BI solutions such as Tableau, Qlik, Looker, or Power BI.
• Knowledge of geospatial data management and analysis.