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We are one growing team with one powerful goal — and as a global leader in education, we strive for a workforce that reflects the individual differences of our learning community. We believe that our employees can be their best selves when they can be their true selves. That is why we’re committed to cultivating and preserving a culture of inclusion in which all our employees feel welcomed, valued and empowered. Together, we will shape the future of education by transforming lives beginning with yours.

The Opportunity

As the Director of Predictive Modeling and Forecasting, you will assume an active role in developing predictive models, reporting key business metrics, and building strategies for driving the University's business decisions and performance. You will work with key partners to understand their needs and come up with solutions to mitigate any business loss due to market fluctuation. You will provide financial consulting and strategic support to senior leadership, working as the analytical engine to provide insights and support for business decision-making. You understand market and business drivers and will collaborate with business leaders to improve competitive positioning, track, and trend key performance indicator metrics, improving financial performance. You will also lead a team of data scientists and python developers.

In this Role You'll Get To:

• Develop data-driven forecasting and machine learning models utilizing re-usable processes and methodologies for delivery in a structured fashion (automation).
• Develop novel machine learning methods that go beyond putting together existing open-source code, to solve complex issues.
• Work in flask applications and deploy APIs.
• Inform leadership of the organization's financial status by analyzing current and past actuals with plans and forecasts, monitoring and performing causal analysis on variances, identifying trends and opportunities, preparing reports and projections based on analysis.
• Leverage advanced analytics to build robust strategies out of analyses and drive impact on performance.
• Conduct scenario analysis, developing "what-if" tools based on historical or extrapolated data to reduce business time to strategic decision.
• Design rich data visualizations to communicate complex ideas to partners and leadership.
• Use story-telling skills to deliver insights that are clear and actionable
• Coordinate with key partners (finance team, call reps. team leads, and marketing managers) to deliver this information and track the progress of deliverables and revenue attribution.
• Promote collaboration efforts between the analytics team and other cross-functional business units to drive common goal achievement and meet organizational objectives.
• Manage three (3) employees: 2 Data Scientists and 1 Python Developer.

What We're Looking For:

• 5+ years experience using applied machine learning/data science in a quantitative, data-driven business environment
• Master's degree in accounting, finance, or economics.
• 3+ years of experience managing people, data scientists in particular.
• 3+ years experience with demand forecasting, machine learning, and database structures/database querying tools, statistical packages and algorithms in Python.

Thinking about the job, but not sure you should apply? We still want to hear from you.

We recognize that not everyone enters the world of work with the same advantage, opportunity, and privilege. This is why your skills and experiences are important to us. Take the leap and apply, you just might be the person we are looking for!

Who Are We?

SNHU employees are a team in every sense. Separately, we understand that each individual brings unique experiences, perspectives and ideas to create a vibrant work environment. Together we share common values of honesty, acceptance and accountability working as a unified force toward a common goal: to transform the lives of learners. By joining our team, you join us in our vision. Together, we’ll shape the future of education by transforming lives—beginning with yours.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

Please note that a background check is required for employment.