Data Scientist

Key Skills

Data Analytics, Data Modeling, Data science techniques, Database, Design, Finance, Leadership Skill, Operations

Job Description

Galen College of Nursing is a vibrant and growing, single-purpose nursing college focused on expanding access to quality nursing education. Our culture is at the forefront of everything we do. Galen’s fundamental goals are to be the best place for nursing education and the best place to work and one cannot be true without the other.

Benefits

At Galen College of Nursing, we want to ensure your needs are met. We offer a variety of comprehensive medical, dental, and vision plans along with some unique benefits including:

• Tuition Reimbursement/Assistance Programs
• Paid Personal Leave
• 401k (100% annual match – 3%-9% of pay based on years of service)
• Identity Theft Protection discounts
• Auto, Home, and Life Insurance options
• Adoption Assistance
• Employee Stock Purchase Program (ESPP)
• Mental Health Coverage

Learn more about Employee Benefits

As you consider joining Galen, please carefully consider how you will model the culture we embrace and look to sustain. A culture where good ideas can come from anywhere and transparency is vital. Respect, accountability and integrity are non-negotiables, and commitment is created and sustained through the development of all employees. We care about each other and our students. We look for ways to exceed expectations and we are always looking for ways to improve and grow, while delivering the promise of extraordinary nursing education, matched only by a commitment to our students’ success.

If you feel our culture aligns with your strength of experience, attitude and authentic desire to work with great people to help changes lives, we’d love to talk!

Position Overview 

Galen College of Nursing is looking for a Data Scientist to continuously improve the student experience in an exceptional learning environment. To accomplish this, we rely on data driven decision making and innovation. The role requires working closely with others, frequently in a matrixed environment, and with little supervision. 'Self-starters' who are proficient in problem solving and capable of bringing clarity to complex situations are encouraged to apply. Galen places an emphasis on teamwork, so social and interpersonal skills are equally important as technical capability. The position requires that one stay well-informed of technological advancements and be proficient at putting new innovations into effective practice.

This role is firmly customer facing, with an expectation of constant contact, communication, and iteration across college and program leadership to define questions, explore solutions and present results. As such the Data Scientist must be comfortable and capable of clearly communicating the nature and results of complex analytics to non-technical users in written, spoken, and visual means.

Responsibilities: 

• Ensure a consistent and scalable approach in data analysis
• Develop knowledge management tools that allow leaders to identify the information that matters most across the student’s lifecycle which will enable the use of data in the design and implementation of effective student support and intervention.
• Develop and maintains reports, dashboards, databases, and other visual aids in support of findings, for a variety of technical and non-technical audiences.
• Analyze and interpret quantitative and qualitative data from multiple sources and synthesize results into actionable recommendations.
• Apply expert analytics and technical interpretation to provide highly creative solutions.
• Proficiency in the operational and software aspects of data science and the application of traditional and newly developing statistical methods.
• Develop deep expertise in working with academic, operational, and financial data.
• Work on unique and complex problems.
• Consult and collaborate across functional and departmental lines in building, managing, and producing data models.

Education: Master’s Degree required; PhD preferred.

Experience: 5 plus years required in higher ed (preferred). On the technical front the Data Scientist must be comfortable with 'data wrangling'. That is, the ability to identify, and extract raw data from primary transactions systems such as Ellucian’s Colleague SIS and Canvas LMS databases. Thereafter they must possess skills in programming to manage, transform and integrate with other datasets, in preparation for analytics.

Special Qualifications: The analytic skills required are based principally in statistics and data visualization. The Data Scientist must have a working knowledge of regression, predictive modelling, and classification techniques. Moreover, the Data Scientist must understand the scientific process of hypothesis generation and testing.

Physical/Mental Demands & Work Environment: Must be able to sit for 8 hours a day.

Degree of Supervision: Minimal