Remote Senior Data Scientist

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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.
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