[Remote] Associate R & D Data Scientist

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

Company H1B Sponsorship