Position: Data Scientist (Higher Education)
Location: Waltham, MA (Part-time 20 to 25 hours per week, Remote)
Length: 12+ months
*W2 Candidates Only
Job Description:
Our client is seeking a highly skilled and motivated Data Scientist to join their team, specializing in predictive modeling and data analysis. The ideal candidate will possess a robust skill set in statistical analysis, data management, and educational data analytics. This role requires a blend of technical expertise, domain-specific knowledge, and exceptional communication skills to provide actionable insights that drive improvements.
Essential Duties and Responsibilities (but not limited to):
- Develop and implement various regression models (linear, logistic, multiple) and other predictive techniques to analyze student success data and forecast outcomes.
- Utilize statistical software (R, SAS, SPSS, Stata, or Python) for data analysis and model development.
- Clean, preprocess, and normalize large datasets, ensuring data accuracy and reliability. Manage data integration from multiple sources using tools such as SQL, Azure Synapse, and Fabric.
- Apply knowledge of educational metrics, student success theories, and data governance to analyze factors influencing student outcomes.
- Ensure compliance with data privacy regulations and ethical standards, including FERPA.
- Use programming languages (Python or R) and machine learning techniques to enhance predictive models.
- Create and present data visualizations using tools like Tableau, Power BI, or ggplot2 in R to effectively communicate findings.
- Prepare and deliver clear reports and presentations for non-technical stakeholders.
- Collaborate with interdisciplinary teams, including educators and administrators, to apply statistical insights and improve student outcomes.
- Manage multiple data analysis projects, including planning, tracking progress, and meeting deadlines.
- Communicate project status and manage stakeholder expectations throughout the project lifecycle.
- Employ strong analytical and critical thinking skills to identify patterns, make data-driven decisions, and develop innovative solutions to enhance student success.
Qualifications:
- Bachelor’s degree or higher in Statistics, Data Science, Educational Data Analytics, or a related field.
- Proven experience in predictive modeling, statistical analysis, and data management within an educational context.
- Proficiency in statistical software (R, SAS, SPSS, Stata) and programming languages (Python or R).
- Strong knowledge of machine learning techniques and data visualization tools.
- Experience in a higher education environment is required.
- Excellent communication and consultative skills, with the ability to convey complex statistical concepts to non-technical audiences.
- Demonstrated ability to work collaboratively with diverse teams and manage multiple projects effectively.
- Knowledge of data privacy regulations, including FERPA, and a strong ethical framework for handling student data.
- Candidates must be a United States Citizen.
POST-OFFER BACKGROUND CHECK IS REQUIRED. Digital Prospectors is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.
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Job #16949
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