Join College Board's remote Data Science Team as a Data Scientist, where you'll leverage data analysis and machine learning to provide insights that enhance test delivery and security.
Responsibilities: You'll develop machine learning applications, design scalable data pipelines, and communicate complex analyses in accessible terms while enhancing team operations and productivity.
Skills: Proficiency in Python and data analysis, experience in machine learning solutions, and familiarity with SQL/NoSQL databases are essential.
Qualifications: A Master's in a quantitative field or 5+ years of experience in data science, along with strong communication skills and a passion for problem-solving are preferred.
Location: This is a fully remote position accessible from anywhere in the USA, with some candidates opting for hybrid work.
Compensation: $130000 - $166000 / Annually
Data Scientist, Data Science Team
College Board – Technology Division
Location: This is a fully remote role. Candidates who live near CB offices have the option of being fully remote or hybrid (Tuesday and Wednesday in office).
Type: This is a full-time position
About the Team
The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test delivery, test development, and test security. Our expertise is understanding a wide array of business problems and using a variety of techniques including data analysis, machine learning, and software engineering to create value from data and support decision making. We have a passion for data analysis, programming, applying new technologies, and building practical solutions. Our tight-knit, self-organized team of Data Scientists and Machine Learning Engineers collaborates closely and uses creative problem solving to tackle difficult challenges for many of the organization’s strategic initiatives. We love having virtual happy hours and celebrating our accomplishments.
About the Opportunity
As a Data Scientist, you are a passionate collaborator who works closely with team members and stakeholders. You relish the opportunity to bring your ideas, love of coding, data savvy, and business acumen to improve processes that are expensive or impossible to perform without machine learning. You are not shy about taking on new work you may not have done before while eagerly building machine learning models to support the new digital testing platform or eagerly providing executive leadership critical insights to make strategic decisions.
In this role, you will
Develop machine learning applications (40%)
Data engineering, exploration, and analysis (40%)
Team Operations & Success (20%)
About you, you have:
For all roles at College Board:
We are seeking individuals who are passionate about expanding educational and career opportunities and committed to mission-driven work. Candidates must be authorized to work in the United States for any employer and should possess clear and concise communication skills, both written and verbal. Proficiency in Microsoft Suite tools is preferred, though a willingness to learn is equally valued. We look for those with curiosity and enthusiasm for emerging technologies, particularly AI-driven solutions, and a proactive approach to independently learning and applying new digital tools. Most importantly, applicants should demonstrate the skills and mindsets aligned with College Board’s Operating Principles, reflecting a commitment to continuous growth, collaboration, and impact, notably:
About Our Process
What We Offer
At College Board, we offer more than just a paycheck—we provide a meaningful career, a supportive team, and a comprehensive package designed to help you thrive. We’re a self-sustaining nonprofit that believes in fair and competitive compensation, grounded in your qualifications, experience, impact, and the market.
A Thoughtful Approach to Compensation
You’ll have open, transparent conversations about compensation, benefits, and what it’s like to work at College Board throughout your hiring process. Check out our careers page for more.
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