Remote Volunteer Data Scientist — Youth Program & EdTech Insights
Believe in Me · Seattle, WA · 3 days ago
EngineeringVolunteer
Responsibilities
- Frame clear analytical questions with program and product stakeholders
- Explore, clean, document, and analyze structured or unstructured data
- Develop statistical, predictive, segmentation, or recommendation approaches when appropriate
- Evaluate model performance, uncertainty, bias, fairness, and practical usefulness
- Create reproducible notebooks, code, visualizations, and technical documentation
- Communicate findings in plain language without overstating conclusions
- Collaborate with data engineering, analytics, product, privacy, and program volunteers
- Recommend responsible data collection and measurement improvements
Qualifications
- Experience in data science, statistics, machine learning, quantitative research, or applied analytics
- Proficiency with Python, R, SQL, or comparable analytical tools
- Knowledge of experimental design, model evaluation, visualization, and reproducibility
- Strong ethical judgment regarding privacy, bias, sensitive data, and youth-related contexts
- Ability to translate analysis into actionable recommendations
- Nonprofit, education, social-impact, or product analytics experience is helpful
Pay
This remote, recurring opportunity is flexible and typically requires up to 10 hours per month.
Schedule
Volunteers may participate from anywhere.