Data Scientist Associate in Research & DevelopmentEducational Testing Service • United States

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Data Scientist Associate in Research & Development

Educational Testing Service

United States

United States

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Join ETS as a Data Scientist Associate in Research & Development! About ETS: ETS is a global leader in education and talent solutions with over 75 years of experience. We are dedicated to preparing learners for future challenges by advancing the science of measurement. Our reliable assessments, including TOEFL®, TOEIC®, GRE®, and Praxis®, serve millions around the world. With our recent strategic acquisitions, we are expanding our capabilities in workforce assessment and educational technology, further enhancing our global impact. At ETS, we work collaboratively with educational institutions, governments, and organizations globally to promote skill proficiency and empower upward mobility. We deliver nearly 50 million tests annually, making a significant impact on human progress worldwide. Be part of our mission to change lives through education! Role Overview: The Research & Development Data Scientist Associate will play a crucial role in planning, executing, and developing cutting-edge data science analyses for research projects within the ETS Research Institute. This role focuses on applying advanced data science methodologies, machine learning, and artificial intelligence to extract valuable insights and predictions from diverse data sources. Proficiency in modern frameworks and cloud computing is vital for driving innovative research in educational measurement and assessment. Key Responsibilities: Data Management:
Collect, preprocess, and manage both structured and unstructured data while ensuring quality and integrity. Data Analysis:
Perform exploratory data analysis to discover trends, patterns, and actionable insights. Model Development: Design, implement, and validate predictive models and machine learning algorithms using tools like PyTorch, TensorFlow, and Scikit-learn. Experiment with advanced language models and generative AI techniques to explore innovative research applications. Deployment & Scalability: Create and manage model deployment pipelines in cloud environments (e.g., AWS, Azure) for better scalability and reproducibility. Collaboration & Communication: Work alongside scientists and cross-functional teams to align data science initiatives with research project goals. Contribute to technical reports, presentations, and publications to share research findings effectively. Articulate complex technical concepts to diverse stakeholders, adjusting communication styles as needed. Qualifications: Strong proficiency in Python and/or R for data analysis and modeling. Hands-on experience with machine learning frameworks such as PyTorch and TensorFlow. Familiarity with generative AI methodologies and practical applications. Solid understanding of statistical methods, experimental design, and data visualization techniques. Experience with cloud environments (e.g., AWS) for deploying models and processing data. Excellent problem-solving skills and adaptability to shifting research priorities. Strong written and verbal communication skills, suitable for a variety of audiences. Meticulous attention to detail, ensuring accuracy and reliability in data tasks. Education: Master's degree in Data Science, Computer Science, Statistics, or a related quantitative field, or a combination of relevant education and experience. Why Join ETS? Be a part of a mission-driven organization committed to education and lifelong learning. Opportunities for professional growth, innovation, and transformation through Business Resource Groups (BRGs). As a non-profit, we encourage volunteering and offer up to 8 additional hours of PTO for related activities. The salary range reflects anticipated compensation for this role, finalized based on your experience, skills, and location. ETS is an Equal Opportunity Employer, dedicated to creating a respectful and inclusive workplace for all individuals, regardless of race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender identity, or other protected characteristics.

United States

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English

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