Data Scientist

DATA SCIENTIST

VOLUNTEER JOB DESCRIPTION

At Believe in Me, we envision a world where every child has the self-confidence and support needed to explore their potential and achieve success. Through innovative and caring programs, we strive to empower marginalized children and first-generation college students, offering them resources for learning, growth, and joy. Join us in our mission to make a lasting difference in the lives of these children and young adults.

Believe in Me is seeking a passionate and skilled Volunteer Data Scientist to join our team dedicated to empowering first-generation college students through our innovative app. The ideal candidate will have a strong background in data analysis, statistical modeling, and machine learning, combined with a commitment to making a difference in the lives of marginalized youths. As a Volunteer Data Scientist, you will play a crucial role in deriving insights from data to guide strategic decisions, enhance app functionalities, and measure our impact on our users' success.

• Data Analysis & Insight Generation: Collect, clean, and analyze data from various sources to uncover actionable insights that drive decision-making and strategy development for app improvements and user engagement.
• Predictive Modeling: Develop and implement statistical models and machine learning algorithms to predict user behaviors, app engagement, and success outcomes.
• Impact Measurement: Design and execute experiments and analytical approaches to measure the effectiveness of app features, content, and interventions on user success and engagement.
• Data Visualization: Create compelling visualizations to communicate findings and insights to the team and stakeholders in an understandable and actionable manner.
• Collaboration & Strategy Support: Work closely with the app development, content, and marketing teams to integrate data insights into app design, content strategies, and outreach efforts.
• Reporting & Presentation: Prepare and present regular reports on findings, progress, and recommendations for action to the leadership team and project stakeholders.

• Experience & Education: Proven experience in data science, statistics, computer science, or a related field. Formal education in a relevant discipline is preferred but not mandatory.
• Technical Skills: Proficiency in data analysis and statistical software (e.g., Python, R, SQL) and familiarity with machine learning frameworks and libraries.
• Data Visualization: Strong skills in data visualization tools and techniques to effectively communicate insights.
• Problem-Solving: Ability to tackle complex problems with a strategic and analytical approach, turning data into actionable insights.
• Communication: Excellent communication skills, with the ability to translate complex data into clear and compelling narratives for non-technical audiences.
• Commitment: Willingness to volunteer 2-3 hours per week and engage with a team of passionate volunteers remotely.

• Make a tangible impact on the lives of first-generation college students, providing essential support and resources to help them succeed.
• Collaborate with a team of equally passionate individuals about education, technology, and making a difference.
• Enhance your portfolio and gain experience by leading a significant, impactful project.
• Enjoy flexible volunteering hours, accommodating volunteers from various time zones in a fully remote position.

This is a remote volunteering position with flexible hours to accommodate volunteers from various time zones.

Interested candidates are invited to submit their resume at https://believeinme.org/donate-your-expertise. Please include details of your experience related to the abovementioned qualifications and share your motivation for volunteering with 1st Gen College Hub.

Join us in our mission to empower first-generation college students by leveraging your expertise and passion for technology and education. Together, we can create a platform that supports students through their college journey and inspires them to believe in their potential.

Watch our video to learn more: Believe in Me - Brand Video