Requirements
- Proven expertise in trend analyses, multivariate statistics, sampling, bias reduction, indirect estimation, data aggregation techniques, automation, and generalization.
- Expertise in Python programming, including data analysis and statistical packages such as Pandas, NumPy, and Scikit-Learn.
- Familiarity with Python standard library, particularly unittest and argparse modules.
- Experience with Spark or other big data processing solutions.
- Experience in machine learning and GenAI/AgenticAI applications.
- Experience with cloud computing and storage, with a preference for MS Azure.
- Experience with Docker and Linux command line.
- Ability to quickly manipulate, analyze, and interpret large data sources.
- Excellent communication and writing skills in English, suitable for working in a remote team with a global presence.
- Master's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field, with strong analytical and technical skills.
- At least 5 years of relevant work experience.
Nice to Have
- Experience in methodologies, data collection, platforms, research processes, and operations.
Work Arrangement
Hybrid
Other
- Flexible working environment.
- Volunteer time off.
- LinkedIn Learning.
- Employee Assistance Program (EAP).
