Full-Time Senior Data Scientist

• Collaborative Environment: Work with an international team.
• Tool Ownership and Development: Take ownership of a core Python-based tool.
• Innovative Solution Development: Collaborate with subject matter experts.
• Methodology Enhancement: Evaluate and improve current methodologies.
• Documentation & Code Quality: Maintain comprehensive documentation.
• Research and Analysis: Conduct rigorous research and analysis.
• Deployment and Support: Support the production deployment.
• Cross-Team Coordination: Coordinate efforts across multiple teams.

• Educational Background: Bachelor’s or Master’s Degree in Computer Science, Software Engineering, Mathematics, Statistics, Socioeconomics, Data Science, or a related field with a minimum of 3 years of relevant experience.
• Programming Proficiency: Proficient with Python or another programming language, R, C++ or JAVA, with a willingness to learn Python.
• Software Engineering Skills: Strong software engineering skills, including experience designing and developing software; optionally, experience with version control systems GitHub or Bitbucket
• Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets.
• Data Handling: Experience using Spark, specifically with PySpark package, experience working with large-scale datasets. Optionally, experience in SQL and working with queries.
• Continuous Learning: Eagerness to adopt and develop evolving technologies and tools.
• Statistical Expertise: Statistical and logical skills, experience in data cleaning, and data aggregation techniques.
• Communication and Collaboration: Strong communication, writing, and collaboration skills.

• Consumer Insights: Knowledge of consumer behavior and (un)managed consumer-related crowdsourced panels.
• Technology Skills: Familiarity with technology stacks for cloud computing (AzureAI, , Databricks, Snowflake).
• Production Support: Experience or interest in supporting technology teams in production deployment.

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