Data Scientist

3+ years of experience in data science, analytics, or a related quantitative role. Strong foundation in statistics, experimentation, and data analysis. Proficiency in SQL and experience using Python for analysis or modeling. Experience working with large datasets in modern data warehouses (e.g., Snowflake or similar). Ability to clearly communicate analytical insights to both technical and non-technical stakeholders. Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field. Experience supporting A/B testing or experimentation platforms (preferred). Exposure to predictive modeling or machine learning techniques (preferred). Familiarity with dbt, Airflow, Spark, or cloud platforms such as AWS (preferred). Experience working in product-driven or consumer-facing technology environments (preferred). Interest in developing toward advanced modeling, causal inference, and production-level data science (preferred).

Analyze large, complex datasets to uncover insights into user behavior, product performance, and growth opportunities. Build and evaluate predictive models (e.g., engagement, conversion, retention) to support product and marketing initiatives. Apply statistical techniques and experimentation methods to answer product and business questions. Design, analyze, and interpret A/B tests and experiments. Quantify the impact of product features, experiments, and marketing initiatives. Develop and maintain metrics that track product health, user engagement, and growth performance. Partner closely with Product Managers, Engineers, and Marketing stakeholders. Communicate analytical findings through clear narratives, visualizations, and documentation. Contribute to a strong data culture by sharing insights, methodologies, and best practices. Write high-quality SQL and Python to analyze data and build scalable analytical solutions. Work with data platforms and tools such as Snowflake, dbt, Airflow, Spark, and AWS. Ensure analytical accuracy, reproducibility, and documentation.