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Associate Data Scientist

About EAB

At EAB, our mission is to make education smarter and our communities stronger. We harness the collective power of more than 1,500 schools, colleges, and universities to uncover and apply proven practices and transformative insights. And since complex problems require multifaceted solutions, we work with each school differently to apply these insights through a customized blend of research, technology, and services. From kindergarten to college and beyond, EAB partners with education leaders, practitioners, and staff to accelerate progress and drive results across three key areas: enrollment management, student success, and institutional operations and strategy.

At EAB, we serve not only our members but each otherthat’s why we are always working to make sure our employees love their jobs and are invested in their community. See how we’ve been recognized for this dedication to our employees by checking out our recent awards.

For more information, visit our Careers page.

The Role in Brief:

Associate Data Scientist

EAB is looking for a multi-talented Associate Data Scientist prepared to tackle data processing, algorithmic, and machine learning challenges to build and improve Artificial Intelligence and Machine Learning tools on a software platform used at over 200 colleges and universities. These tools support student success by helping students and administrators gain insight into what makes a student successful and help them make the right choices to get there, enabling more students to graduate and get the most out of their education. Your primary role on the Data Science team will be to build things systems and frameworks for large-scale data analytics, workflow tools for machine learning, web apps for data visualization, and more.

This role is based in Richmond, VA.

Primary Responsibilities:

Collaborate with data scientists and software engineers to integrate machine learning models into production software systems

Build internal tools for data science/analytics workflows

Manage data processing pipelines for analyzing terabyte-scale data from multiple sources

Write R and Python code using current best practices

Coordinate with product managers, researchers, consultants, and marketers to identify opportunities for AI/ML solutions and communicate capabilities and best practices to customers

Basic Qualifications:

Bachelor’s degree a quantitative field, or equivalent experience

Programming skills in Python, R, or another high-level language used in statistical computing

Experience using SQL for data cleansing, transformation, summarization, or analysis

Ability to communicate and collaborate with both technical and non-technical team members

Conscientious, curious, dedicated, and quality-focused

Ideal Qualifications:

Hands-on experience with machine learning, statistics, and the scientific method

Advanced degree in a relevant field

Experience with AWS or other cloud-based server management and machine learning services

Benefits:

Consistent with our belief that our employees are our most valuable resource, EAB offers a competitive benefits package:

Medical, dental, and vision insurance, dependents eligible

401(k) retirement plan with company match

Generous PTO

Daytime leave policy for community service or fitness activities (up to 10 hours a month each)

Wellness programs including gym discounts and incentives to promote healthy living

Dynamic growth opportunities with merit-based promotion philosophy

Benefits kick in day one, see the full details here.

At EAB, we believe that to fulfill our mission to make education smarter and our communities stronger we need team members who bring a diversity of perspectives to the table and a workplace where each team member is valued, respected and heard.

To that end, EAB is an Equal Opportunity Employer, and we make employment decisions on the basis of qualifications, merit and business need. We don’t discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

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