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

Educational Testing Service
  • US
    United States
  • US
    United States
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Über

About ETS: ETS is a global leader in education and talent solutions, dedicated to preparing learners for future challenges. With over 75 years of experience, we advance the science of measurement, providing reliable benchmarks for fair skill assessment worldwide. Our renowned assessments, including TOEFL®, TOEIC®, GRE®, and Praxis®, serve millions across more than 200 countries and territories. Recent strategic acquisitions, such as PSI and Edusoft, have further expanded our capabilities in workforce assessment and educational technology, enhancing our global impact. At ETS, we collaborate with educational institutions, governments, and organizations globally to promote skills proficiency and empower upward mobility. We deliver nearly 50 million tests annually, measuring and powering human progress on a global scale. Join us in this impactful mission! The Research & Development Data Scientist Associate is a key player in planning, developing, and executing data science analyses for research projects at the ETS Research Institute. This role emphasizes the application of advanced data science techniques, machine learning, and AI to derive meaningful insights and predictions from data. Proficiency in modern frameworks and cloud computing is essential for supporting innovative research in educational measurement and assessment. Primary Responsibilities Technical Responsibilities: Collect, preprocess, and manage diverse structured and unstructured data while ensuring data quality and integrity.
Conduct exploratory data analysis to uncover trends, patterns, and actionable insights.
Model Development and Evaluation: Design, implement, and validate predictive models and machine-learning algorithms using tools such as PyTorch, TensorFlow, and Scikit-learn.
Experiment with large language models and generative AI techniques to support exciting research applications.
Deployment and Scalability: Develop and maintain model deployment pipelines in cloud environments (e.g., AWS, Azure) for scalability and reproducibility.
Research and Collaboration: Collaborate with scientists and cross-functional teams to ensure alignment of data science efforts with project goals.
Contribute to technical reports, presentations, and publications to effectively share research findings.
Communicate complex technical concepts to diverse stakeholders, including technical and non-technical audiences.
Qualifications: Proficiency in Python and/or R for data analysis and modeling.
Hands-on experience with machine learning frameworks like PyTorch and TensorFlow.
Familiarity with generative AI methodologies and their practical applications.
Strong understanding of statistical methods, experimental design, and data visualization techniques.
Experience in cloud environments (e.g., AWS) for model deployment and data processing.
Excellent problem-solving skills with a flexible approach to changing research priorities.
Effective written and verbal communication skills, adaptable for various audiences.
Exceptional attention to detail, ensuring high accuracy and reliability in data work.
Education: Master's degree in Data Science, Computer Science, Statistics, or a related quantitative field; or equivalent combination of education and experience. ETS is mission-driven and action-oriented: We seek innovative thinkers who share our commitment to education and lifelong learning.
We nurture growth, innovation, and transformation, providing Business Resource Groups (BRG) for professional development.
As a non-profit organization, we encourage volunteering and offer up to 8 additional hours of PTO for related activities.
The base salary range reflects the anticipated compensation for this role, which will be finalized based on experience, skills, and geographic location.
ETS is an Equal Opportunity Employer, committed 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

Sprachkenntnisse

  • English
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