Data Science Team Lead at OREDATA, leading teams to resolve data science challenges in a hybrid environment. Joining a digital transformation firm with a strong collaborative culture.
About the role
- Executive Director leading analytics initiatives to advance student success and institutional performance at Excelsior University. Overseeing a team of data scientists and translating data into actionable strategy.
Responsibilities
- Provide strategic leadership for analytics initiatives across Academic Affairs and Transformative Partnerships.
- Lead, mentor, and develop a team of three data scientists and analysts.
- Serve as primary liaison to Academic Affairs on student success, curriculum design, and faculty analytics.
- Serve as primary liaison to Transformative Partnerships on market growth, enrollment trends, and partner performance.
- Design and oversee predictive and prescriptive analytics models to inform institutional strategy.
- Translate data insights into clear, actionable recommendations for senior leaders.
- Partner with institutional leaders to define KPIs and success metrics.
- Ensure analytical outputs are methodologically sound, interpretable, and aligned with Excelsior’s equity and innovation goals.
- Advance Excelsior’s AI and decision-intelligence strategy in collaboration with the Chief Analytics Officer.
- Promote data literacy and evidence-based decision-making across the university.
- Maintain high standards of data governance, privacy, and integrity.
- Foster a culture of collaboration, innovation, and continuous improvement.
Requirements
- Master’s degree in Data Science, Operations Research, Statistics, Economics, Business Analytics, or a related field (or equivalent experience).
- At least 10 years of progressively responsible experience in analytics or data science, including 3+ years in leadership.
- Demonstrated success translating analytical insights into strategy for non-technical audiences.
- Proven experience managing and mentoring analytical teams.
- Strong technical knowledge of predictive modeling, data visualization, and experimental design.
- Excellent communication, collaboration, and organizational skills.
Job title
Job type
Experience level
Salary
Degree requirement
Location requirements
Data Scientist analyzing claims data, optimizing processes and collaborating across departments at Allianz Spain. Utilizing statistical techniques and developing predictive models for operational efficiency.
Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
Clinical Data Manager supporting research projects and managing patient databases at Mass General Brigham. Interact with patients and maintain data integrity in clinical research.
Technical Lead in Data Science guiding analytical systems design and team mentorship for a finance technology company. Collaborating across engineering and research to drive innovation and data excellence.
Technical Lead in Data Science at Voleon, driving the design and implementation of analytical systems. Mentoring a growing team of data scientists while ensuring methodological rigor in finance applications.
Data Scientist developing analytical solutions for customer data transformation and supporting critical business decisions. Focus on quality and integrity of data through statistical models and analysis.
Junior Data Scientist developing demand forecasting models for Nestlé’s Supply Chain team. Collaborating with analysts and planners to improve forecasting tools and processes.
HCM Data and Process Analytics Lead at ABB building business intelligence for HCM solutions. Analyzing data to drive improvements in performance and data quality across the organization.
Data Scientist owning and delivering production - grade data pipelines at Simbe Robotics. Collaborating with Product Management, Engineering, and Commercial teams to surface insights from retail data.