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Research & Development Data Scientist AssociateEducational Testing Service • United States
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Research & Development Data Scientist Associate

Educational Testing Service
  • US
    United States
  • US
    United States
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À propos

About ETS: ETS is a global leader in education and talent solutions dedicated to preparing learners for future challenges. For more than 75 years, our focus has been on advancing the science of measurement, providing reliable benchmarks for fair skill assessment across cultures and borders. With renowned assessments like TOEFL®, TOEIC®, GRE®, and Praxis®, we serve millions across more than 200 countries and territories. Our strategic acquisitions, including PSI and Edusoft, expand our capabilities in workforce assessment and educational technology, enhancing our impact worldwide. Through our Research Institute and Solutions, we collaborate with educational institutions, governments, and organizations globally to promote skills proficiency and empower upward mobility. Delivering nearly 50 million tests annually, we strive to measure and power human progress on a global scale. Join us in our mission! The Research & Development Data Scientist Associate plays a crucial role in planning, developing, and executing data science analyses for research projects at the ETS Research Institute. This position emphasizes applying 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 pioneering research in educational measurement and assessment. Primary Responsibilities Technical Responsibilities: Collect, preprocess, and manage structured and unstructured data from various sources 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 innovative research applications.
Deployment and Scalability: Develop and maintain model deployment pipelines in cloud environments (e.g., AWS, Azure) to ensure 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 share research findings effectively.
Communicate complex technical concepts to diverse stakeholders, both technical and non-technical.
Qualifications: Demonstrable 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 their practical applications.
Strong understanding of statistical methods, experimental design, and data visualization techniques.
Experience working 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, adapting to 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 foster growth, innovation, and transformation, offering 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

Compétences linguistiques

  • English
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