Note: The job is a remote job and is open to candidates in USA. ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be future-ready. The Associate R&D Data Scientist will contribute to data science analyses for research and development projects, applying advanced data science, statistics, machine learning, and AI to derive insights from data.
Responsibilities
- Collect, preprocess, and manage structured and unstructured data from diverse sources, ensuring data quality and integrity
- Perform exploratory data analysis to identify trends, patterns, and actionable insights
- Design, implement, and validate predictive models and machine-learning algorithms using frameworks such as PyTorch/TensorFlow, and scikit-learn
- Experiment with large language models and generative AI techniques (e.g., working with large language model APIs, prompt engineering) to support innovative research
- Develop and maintain pipelines for model deployment in cloud computing environments (e.g., AWS, Azure) to ensure scalability and reproducibility
- Collaborate with scientists and cross-functional research teams to align data science efforts with program objectives
- Contribute to technical reports, presentations, and publications that disseminate research findings
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders
Skills
- Demonstrable proficiency and experience in Python and/or R for data analysis and modeling
- Hands-on experience with PyTorch/TensorFlow, Scikit-learn, and other machine learning frameworks
- Familiarity with generative AI methods and their practical applications
- Strong understanding of statistical methods, experimental design, and data visualization
- Ability to work in cloud computing environments (e.g., AWS) for model deployment and data processing
- Excellent problem-solving skills and adaptability to evolving research priorities
- Effective written and verbal communication skills for collaborative research environments
- Exceptional attention to detail, ensuring accuracy and reliability in data analysis, modeling, and reporting
- Master's degree in Data Science, Computer Science, Statistics, or a related quantitative field; or equivalent combination of education and experience
Benefits
- Multiple Business Resource Groups (BRG) for you to learn and advance your career growth
- Up to an additional 8 hours of PTO for volunteer work on causes that are important to you
Company Overview
ETS is a global education and talent solutions organization, enabling lifelong learners to be future ready. It was founded in 1947, and is headquartered in Princeton, New Jersey, USA, with a workforce of 1001-5000 employees. Its website is http://www.ets.org.Company H1B Sponsorship
ETS has a track record of offering H1B sponsorships, with 85 in 2025, 39 in 2024, 127 in 2023, 60 in 2022, 43 in 2021, 55 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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