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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.
Date Posted: 24 April 2025
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