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Description:
Join an international team in a flexible working environment, supporting North American product development.
Evaluate current methodologies and identify opportunities for enhancement, including input data cleaning, data preparation methodologies, data quality tracking, and consumer projection.
Present and communicate findings and recommendations based on research and analysis.
Design end-to-end validation and projection performance indicators in connection to product quality.
Develop prototypes of new solutions and methodologies to address new market challenges.
Support the production deployment of proposed enhancements and new solutions.
Document findings, methodologies, and best practices.
Requirements:
A Bachelor’s or Master’s Degree in Mathematics, Statistics, Socio-economics, Data Science, or a related field with at least 3 years of experience.
Proficiency in the English language.
Knowledge of or interest in consumer behavior and managed or unmanaged consumer-related crowdsourced panels.
Strong aptitude for data analysis, with the ability to manipulate, analyze, and interpret large data sources.
Excellent statistical and logical skills, with experience in data cleaning, outlier validation, sampling, bias reduction, and data aggregation techniques.
Demonstrated experience in Python.
Experience with SQL, including working with queries and large-scale databases.
Eagerness to continuously learn and adopt evolving technologies and tools.
Strong communication, writing, and collaboration skills.
(Nice to have) Experience with version control systems.
(Nice to have) Experience in cloud computing technology stacks such as Azure and Databricks.
(Nice to have) Experience or interest in production-level solutions prototyping.
(Nice to have) Experience or interest in supporting technology teams in production deployment.
Benefits:
A flexible working environment.
Volunteer time off.
Access to LinkedIn Learning for professional development.
Employee Assistance Program (EAP) for support and resources.