At Liaison, we’ve helped higher education institutions build better, more diverse classes for three decades. You may recognize us as the company behind the Centralized Application Service (CAS), Enrollment Marketing services and platform (EMP), SlideRoom, Time2Track, TargetX (CRM) and Othot.
Everything we do is focused on taking that proven success and expanding its scope and scale. Over 31,000 programs on more than 1,000 campuses see us as a forward-thinking partner integral to meeting their total enrollment goals — and we’re building the data- and mission-driven team that will reinforce our role for decades to come.
Othot, a Liaison Company, a leader in artificial intelligence and analytics in higher education, partners with institutions to improve enrollment, retention, and student success on campuses across the United States. Our team thrives on innovation and collaboration to deliver predictive and prescriptive analytics models to our partner institutions. Othot’s cloud-based solution provides continuous intelligence in real time and empowers schools to engage each prospective, current, and former student with the right tactic at the right time.
As part of the Data Science team, the Data Scientist works closely with colleagues and clients to design, build, and maintain predictive models that power institutional insights. This individual will be integrated into a team where they will work on challenging projects to enhance our modeling approaches, improve internal tooling, and provide institutions with actionable intelligence to support enrollment and student success.
Responsibilities:
- Build, update, and maintain predictive machine learning models for higher education institutions in collaboration with the Data Curation team
- Utilize Python and internal testing frameworks to identify improvements to modeling heuristics, validate outputs, and implement enhancements at scale
- Perform client-specific analyses and provide actionable recommendations based on predictive results
- Translate technical findings into clear, meaningful insights for stakeholders (both written and verbally)
- Review and monitor client data updates to ensure accuracy of predictions
- Collaborate with product, client success, and sales teams to align data science work with institutional and business goals
- Research and explore emerging AI/ML technologies to identify opportunities for incorporating advancements into the pipeline
- Automate or help automate as many manual data and modeling related activities as possible
- Demonstrate a curious, growth-oriented mindset with a drive to experiment, learn, and continuously improve
Requirements:
Education
- Bachelor’s degree in math, computer science, business analytics and information systems or another relevant field required (advanced degree preferred).
- Demonstrated related experience may substitute for preferred education.
Technical Aptitude and Knowledge
- Proficiency in Python for data analysis, machine learning, and feature engineering
- Experience with a variety of machine learning algorithms and model evaluation techniques
- Familiarity with version control (Git/GitHub) and collaborative coding practices
- Ability to learn and apply new technologies, frameworks, and tools quickly
Client-Focused Communication
- Ability to translate technical findings into client-friendly insights both verbally and in writing
- Experience collaborating directly with stakeholders to set expectations and explain modeling approaches
Team Player Attitude and Collaboration
- Willingness to assist other team members and drive innovation to improve personal and team-wide efficiency and growth
- Demonstrated interest in pursuing knowledge and collaborating across Othot and Liaison teams
Analytical Thinking and Problem Solving
- Proven success in independently troubleshooting and resolving modeling and data-related issues
- Strong methodological approach to debugging, model validation, and root cause analysis
Time/Project Management Skills
- Capacity to manage multiple projects or tasks at once including setting and communicating appropriate timelines, prioritization, and risk or updates throughout the life of the project
- Efficiency mindset to deliver high-quality results in a scalable, effective way
Work Quality and Accountability
- Desire to deliver outputs/deliverables with accuracy and attention to detail
- Willingness to take full responsibility and accountability for all assigned clients and outputs
