Senior Data Scientist

Senior Data ScientistThe 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.As a Senior 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%)Design and implement high quality software using the latest and greatest cloud and machine learning technologiesIndependently manage and complete all the work needed to deliver small or medium sized applications and analyses on time and at a very high level of qualityHelp identify and build major components of complex machine learning modelsJudiciously evaluate the effectiveness and fairness of models and articulate considerations and concerns around implementing models in the context of the business applicationBuild functions, APIs, and data stores to make predictions and analyses accessible to other systemsData engineering, exploration, and analysis (40%)Design and maintain scalable data pipelines that transform operational data into reliable, production-ready datasetsCreate insights from existing data and drive the collection of new dataCommunicate methodology and results of advanced analyses using accessible language and intuitive data visualizationsCreate reproducible, documented analyses and models that lend themselves to automationTeam Operations & Success (20%)Help the team break down the work into manageable tasks and support our Agile maturitySubstantially improve the team's productivity and quality by enhancing tools, processes, and code structureAdvise other teams on Machine Learning projects and assist with establishing Machine Learning governanceAssist in the identification and resolution of production issuesAbout you, you have:Ideally a Master's in a quantitative discipline or computer science, OR a Bachelor's and 10+ years related experienceProgramming expertise in Python and pandas, advanced skills in SQLExpertise in data and statistical analysis.Proven experience in developing Machine Learning (ML) and Deep Learning (DL) solutions to solve real-world problems.Experience with SQL and NoSQL databases.A passion for solving difficult problems creatively.Excellent communication and listening skills, and are able to help others understand both problems and solutions.The ability to tell a story with your data.Worked within a close knit team and enjoy helping your colleagues succeedKnowledge in CI/CD, DevOps and AgileKnowledge in developing applications on a Serverless or Microservices cloud platform (AWS/Azure/GCP, etc.)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:A commitment to candid, timely, respectful feedbackA learner orientation and an openness to ideas and diverse perspectivesThe ability to push for excellence through data-informed decision-making, iterative learning, external benchmarking and user-inputsStrong problem-solving skills, including the ability to break down complex issues and identify clear paths forwardA track record of prioritizing high-impact work, simplifying complexity, taking initiative, and making decisions quickly with clarity of purposeA habit of collaborating across differences, practicing empathy, and contributing to a culture of trust and shared successApplication review will begin immediately and will continue until the position is filled. This role is expected to accept applications for a minimum of 5 business days.While the hiring process may vary, it generally includes: resume and application submission, recruiter phone/video screen, hiring manager interview, performance exercise such as live coding, a panel interview, a conversation with leadership and reference checks.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 CompensationThe hiring range for this role is $153,000-$166,000.Your exact salary will depend on your location, experience, and how your background compares to others in similar roles at the College Board.We aim to make our best offer upfront, rooted in fairness, transparency, and market data.We adjust salaries by location to ensure fairness, no matter where you live.