Senior Data Scientist

What you'll do

• Conduct exploratory data analysis on user, content, and engagement data to identify patterns and trends.
• Execute A/B tests and controlled experiments using established methodologies to evaluate product features.
• Define and track success metrics for specific products while monitoring model performance against those goals.
• Perform feature analysis and model evaluation in collaboration with Machine Learning Engineers.
• Provide data support for drift detection and performance reviews of machine learning models.
• Translate complex data findings into clear recommendations for internal teams and stakeholders.
• Apply statistical analysis using Python, SQL, and PySpark to analyze large datasets.

What we're looking for

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a comparable quantitative field.
• 5+ years of experience in data science, analytics, or a related field.
• Proficiency in Python, SQL, and PySpark for data analysis and manipulation.
• Working knowledge of statistical analysis and experimentation, including running and interpreting A/B tests.
• Ability to conduct exploratory data analysis (EDA) to identify patterns in user behavior data.
• Experience working with cloud data platforms such as AWS, Databricks, or Snowflake.
• Clear written and verbal communication skills to summarize findings for internal teams.
• Experience working in Agile/Scrum environments and collaborating with engineering and product partners.