Senior Data Scientist

What we do

Founded in 2015, ReUp Education is the only organization that focuses exclusively on helping colleges and universities engage and re-enroll the more than 40 million US residents who have “stopped out” and support them until graduation, through our technology-enabled service. To date, we have re-enrolled nearly 28,500 students and recaptured over $139 million in tuition for our university partners. Today we build regional marketplaces to connect the supply of educational opportunities with the demand for skilled and credentialed workforce professionals.

The Role

We are looking for an experienced data scientist to help ReUp leverage our data to find insights and create more impact. You will play a central role in making ReUp more data-driven, defining what data science at ReUp can look like, and bringing new technologies and methods to our company. This is a full-time position reporting to the Director of Analytics. If you are a curious and creative data scientist, then we want to hear from you! 

What you’ll do

• Utilize statistical methods and machine learning techniques to analyze complex data sets and derive actionable insights for teams across the company.

• Develop and implement predictive models, large language models, and recommendation algorithms to guide business decisions and drive measurable results.

• Design, execute, and analyze A/B tests to measure the impact of changes to the student experience.

• Work closely with stakeholders across ReUp to understand their needs, proactively develop ideas to improve their work, and educate them on the analyses you are doing.

• Be an active supporter in the implementation of findings, including collaborating closely with key stakeholders, data engineering, analytics, and leadership.  

• Provide recommendations and thought partnership to the Director of Analytics on data science best practices. 

• Create documentation and templates necessary to build the data science function at ReUp.

• Independently manage your work and deadlines to be an efficient partner to internal stakeholders.

• Consistently and independently deliver high-quality insights and recommendations with minimal oversight.

This role will enable ReUp to:

• Grow and develop the data science muscle at ReUp.

• Find never-before-uncovered insights using our expansive data set.

• Build new data science products to inform improvements in learner services, marketing, finance, partner success, and other teams at ReUp.

• Impact outcomes for learners and insights for colleges, universities, and state partnerships.

Qualifications
Research shows that women and people from underrepresented groups often only apply to jobs if they meet all of the qualifications. However, no one ever meets 100% of the qualifications. ReUp encourages you to break that statistic and to apply. We look forward to your application.

• Advanced degree in Mathematics, Statistics, Economics, or other quantitative focused study [or comparable experience in the field].

• 4+ years of related work experience in data science.

• Experience with machine learning, predictive modeling, and natural language processing.

• Experience using data science to make measurable improvements in performance outcomes. 

• Ability to engage cross-functional audiences in conversations about analysis and data.

• Experience with statistical analysis techniques such as correlation and regression.

• Strong fluency in SQL, Python.

• Experience with at least one analytics / visualization tool such as Tableau and Mode Analytics.