Believe in Me
DATA SCIENTIST
VOLUNTEER JOB DESCRIPTION
Position Overview
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. Key Responsibilities
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. Qualifications
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. Why Volunteer With Us?
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. Location
This is a remote volunteering position with flexible hours to accommodate volunteers from various time zones. How to Apply
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
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. Key Responsibilities
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. Qualifications
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. Why Volunteer With Us?
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. Location
This is a remote volunteering position with flexible hours to accommodate volunteers from various time zones. How to Apply
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