The senior decision scientist leverages data science to drive strategic initiatives, improve operational efficiency, and achieve institutional goals. Reporting to the Director of Analytics – Marketing and Enrollment, the senior decision scientist collaborates closely with business partners in Marketing, Admissions, Advising, Student Financial Services, and the Office of the Registrar. The role will be responsible for using machine learning, predictive modeling, experimental design, and other analytical techniques to inform strategic decisions and identify opportunities for efficiency and growth.

This position is based out of the university's home office in Albany, NY with the option of considering remote candidates. Remote employees will have mandatory occasional travel for meetings, conferences, and professional development opportunities. Remote employees are expected to be available during work hours 8:30 am - 5:00 pm Eastern time. The University will supply necessary equipment to perform the essential functions of this job (e.g., Laptop, docking station). Employees are responsible for having a workspace where they can participate in virtual meetings without multiple interruptions and noise.

ESSENTIAL DUTIES AND RESPONSIBILITIES, including but not limited to:

• Use predictive and prescriptive analytical techniques to enable leadership to make informed decisions.
• Apply demonstrated knowledge of data modeling, business analysis, and statistical analysis to design and evaluate drivers of growth and efficiency.
• Uses various data analytics tools to clean, manipulate, and transform data for analysis.
• Lead projects and work with university leaders to identify assumptions for analytical tools and models with the goal of using these tools to provide data driven solutions.
• Communicate with data through written and oral presentations, using data visualization techniques to present findings in a manner that can be easily understood by nontechnical audiences.
• Promote data stewardship and data quality.

QUALIFICATIONS To perform this job successfully, an individual must be able and willing to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Master's or Ph.D. from an accredited institution in a business analytics, statistics, economics, data science, or relevant quantitative or empirical research field.
• Five or more years of relevant experience, though education may be used along with experience.
• Demonstrated knowledge and application of data analysis and statistical modeling, preferably in an academic or educational setting.
• Proficiency in programming languages such as Python or R, or willingness to learn combined with knowledge of other code-based programming languages such as MatLab, Stata, etc.
• Strong understanding of database systems and data manipulation techniques.
• Excellent interpersonal and communication skills, with the ability to convey complex analytical concepts to non-technical stakeholders.
• Ability to work collaboratively and effectively with academic and business leaders.
• Strong problem-solving skills and a proactive approach to identifying opportunities for improvement.
• Strong attention to detail, thoroughness, and follow through.
• Ability to work independently and meet deadlines.
• Ability to prioritize and manage multiple tasks.
• Higher education experience highly preferred.

The hiring salary range for this position is $85,000.00 - $94,000.00. The hiring salary range above represents the University's good faith estimate at the time of posting.