Job Title

Vandey provides outsourced instructional services to institutions of higher education and is seeking a candidate to work for Vandey to serve in a full-time role as a Senior Data Scientist with the University of the People.INTRODUCTION:University of the People (UoPeople) is the first non-profit, tuition-free, American, accredited, 100% online university. Today, UoPeople has over 152,000 students enrolled from more than 200 countries and territories, including 18,800 students who are refugees. Currently UoPeople is accredited by the DEAC and WASC accreditation.We believe that higher education is a basic human right and that it can transform not only the lives of students, but also their families' lives, their communities, their nations, and, by extension, the world. See President Reshef’s TED talk when he announced the founding of the University.[ TED talk ]UoPeople is an innovative university, and we welcome team members who bring creativity and innovation to their roles. We’re a fast-paced organization with remote teams all around the globe. If you’re a self-starter who wants to succeed alongside a passionate team, we’d love to hear from you!UoPeople is supported by the generosity of individuals and foundations, including the Gates, Hewlett, Ford Foundations, Foundation Hoffmann, and others. The University has been covered by the New York Times, BBC, NPR, Times Higher Education, US News and World Report, and more. President Reshef’s TED Talk and Nas Daily interview about the University have 30 million views combined.REPORTS TO: VP of Strategy and PlanningJOB SUMMARY: We are seeking a talented and analytical data scientist to partner with the University leadership to create actionable data insights into our operations and students journey. You will work closely with stakeholders to answer key questions such as how to increase enrollment, improve retention and graduation, generate more revenue and better understand our student profile. In this role, you will take full ownership of your projects from start to finish. This includes collaborating with stakeholders to understand key business questions, sourcing and preparing data, performing exploratory data analysis, building and fine-tuning models, and conducting in-depth analysis. You will communicate your findings and insights through dashboards, visualizations, and presentations, ensuring alignment with business objectives.RESPONSIBILITIES:Partner with key stakeholders to identify analytical opportunities, frame business questions, and deliver data-driven solutionsDesign, build, and optimize predictive models using historic data, machine learning techniques, statistical modeling to forecast future trendsConduct exploratory data analysis to uncover trends, patterns, and anomalies that inform business decisionsConducting large-scale A/B experimentsCollaborate with data governance team to assess data health and provide support in developing an automated data quality audit processMentor and upskill data analysts to advance analytical capabilities using modern techniques and methods.Contribute to evaluation of AI vendors and solutions to assess technical feasibility, privacy and ethical considerations and strategic alignment with university goals.QUALIFICATIONS:Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (PhD preferred).Previous experience with streamlining and automating MLOps is preferred.Proven experience (5+ years) in developing and deploying predictive models in a business environment.Strong understanding of AI and ML technologies (NLP, Deep Learning and Gen AI)Proficient in programming (Python, R, Pandas, Scikit-Learn, Plotly etc.)Proficient in excel, SQL, database technologies, data modeling/architectureStrong knowledge of machine learning frameworks (e.g., TensorFlow, scikit-learn, PyTorch).Hands on knowledge of Power BI visualization toolExperience with learning management or edtech products is a big plusStrategic thinker with a problem-solving mindset and a passion for innovation.