Senior Data Scientist - Enrollment Analytics

To participate in a remote work arrangement, employees must reside in the United States. No remote work arrangement will be considered for working from outside the United States.

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The Senior Data Scientist - Enrollment Analytics plays a strategic role in transforming data from multiple reporting tools and databases (internal and external) into actionable insights that enhance and optimize student enrollment, marketing effectiveness, and institutional performance. This position will leverage advanced analytics, AI, and machine learning (ML) to influence data-informed decision-making across the student lifecycle.

Education/Experience Requirements:

• Master's degree preferred, Bachelor's degree required in Applied Statistics, Data Science, Computer Science, Economics, or Operations Research.
• 3-7 years of experience in predictive analytics, machine learning, and marketing data science.
• Experience in higher education marketing or enrollment analytics is a plus but not required.

Pay:
Compensation is determined based on the qualifications, experience, and circumstances of each hire. It is uncommon for new employees to start near the top of the salary range. We offer a comprehensive benefits package, including a tuition waiver and reimbursement program, health insurance, paid time off, and a retirement savings plan with company match. The salary range for this position is $118,400 to $160,200.
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Responsibilities:

• Leveraging Advanced Data Science
  
  
  
  • Apply machine learning (ML) and AI-driven models (e.g., predictive modeling, natural language processing, deep learning) to optimize marketing effectiveness and improve student engagement throughout the entire student lifecycle.
  • Utilize machine learning to forecast future enrollment patterns and provide proactive recommendations.
  • Leverage big data techniques (cloud computing, automation, AI-driven forecasting) to extract insights from structured and unstructured data sources.
  
  
  
  
• Predictive Analytics & Student Lifecycle Optimization
  
  
  
  • Build predictive and prescriptive models to forecast prospective marketing channel effectiveness, enrollment / re-enrollment likelihood, retention risks, and student success.
  • Develop segmentation strategies using clustering, decision trees, and neural networks to tailor marketing campaigns and personalized student outreach.
  • Optimize inquiry-to-enrollment funnel by analyzing opportunity trends, applicant behaviors, dropout points, and factors influencing student commitment.
  
  
  
  
• Marketing Performance & Attribution Modeling
  
  
  
  • Analyze marketing performance data to identify trends and provide insights to optimize media spend.
  • Utilize attribution data and student journey patterns to design a multi-touch attribution model to optimize the marketing mix across Paid Search, Social Media, Influencer Marketing, OTT, and other digital channels.
  
  
  
  
• Utilize AI-driven CRM marketing automation & lead scoring to optimize conversion pathways and allocate marketing budget based on high-impact strategies.Market & Competitive Analysis.
• Data Integrity, Governance, and Compliance
• Budgeting & Financial Modeling

Competencies:

• Technical Expertise
• Strategic Thinking & Communication
• Problem Solving & Innovation

Herzing University is committed to providing a diverse environment and is dedicated to fostering a culture and atmosphere of mutual respect. It provides an inclusive and collegial community where individuals are valued, heard and empowered to contribute to the effectiveness of the institution.

Physical Requirements:

• Must be able to remain in a stationary position most of the time.
• Must be able to occasionally move around the work location.
• Constantly operates office and/or teach equipment which may include computers, copiers, fax machines, audio/visuals.
• Frequently uses voice and hearing to communicate with students, staff or colleagues face-to-face or over the telephone.
• Visually or otherwise identify, observe and assess.
• Occasionally move, carry, or lift 10 pounds.

Applicants must be authorized to work for any employer in the U.S. We do not sponsor or take over sponsorship of an employment Visa at this time.

It is the university's practice to recruit and hire without discrimination because of skin color, gender, religion, LGBTQi2+ status, disability status, age, national origin, veteran status, or any other status protected by law. https://www.herzing.edu/about/diversity

Herzing University prohibits sex-based discrimination in any education program or activity that it operates. Individuals may report concerns or questions to the Title IX Coordinator. The notice of nondiscrimination is located at https://www.herzing.edu/title-ix.