AoPS is hiring a Data Scientist to support the Academics department and course experience team with learning research, advanced analytics, and experimentation.
Requirements
- 2-4 years of experience in data science, applied statistics, quantitative research, or similar analytical role with a track record of driving meaningful impact.
- Proficiency in Python for data analysis, statistical modeling, and machine learning (using packages like pandas or polars for data manipulation, scikit-learn or statsmodels for model development, and PySpark or Dask for distributed computing).
- Experience using tools and best practices for reproducible research (e.g., version-controlled analysis, environment management, documented workflows) and with MLOps to ensure analyses and models are stable, repeatable, and maintainable.
- Strong understanding of concepts relevant to learning research, such as experimental design, hypothesis testing, feature engineering, regression modeling, causal inference, clustering, and evaluating data quality in educational or behavioral datasets.
- Experience using SQL data warehouses such as Redshift, Snowflake, or BigQuery to gather and transform data for analysis.
- Experience using data visualization or BI tools like Lightdash, PowerBI, Tableau, or Looker.
- Excellent communication skills with the ability to gather requirements from stakeholders, prioritize potential projects, and translate complex quantitative findings into actionable insights for the academics team.
Benefits
- Multiple options for Medical, Dental and Vision plans
- 401K with company match
- PTO Plan
- Relocation bonus (if currently located outside of San Diego)