ETS is seeking a Senior Data Scientist to drive innovative data-driven solutions for educational assessment and research, working remotely to analyze complex datasets and develop predictive models that enhance learning outcomes worldwide.

ETS, a global leader in educational assessment and research, is looking for a talented Senior Data Scientist to join our remote team. In this role, you will play a pivotal part in transforming raw data into actionable insights that support the development of fair, valid, and reliable tests used by millions of learners and educators around the world.

Your responsibilities will include designing and implementing advanced statistical models to analyze test performance data, predicting learner outcomes, and identifying biases in assessment tools. You will collaborate with psychometricians, educators, and software engineers to integrate data science into our product pipeline, ensuring that our solutions are both innovative and equitable.

Leveraging tools like Python and machine learning frameworks, you will tackle challenges such as natural language processing for automated scoring and recommendation systems for personalized learning paths. This position offers the opportunity to contribute to meaningful work that advances education equity and prepares individuals for future success.

If you are passionate about using data to make a difference in education, apply today and help shape the future of learning at ETS.

• Advanced degree (Master's or PhD) in Data Science, Statistics, Computer Science, or a related field
• At least 5-7 years of professional experience in data science, with a focus on machine learning and statistical modeling
• Proficiency in programming languages such as Python, R, and SQL for data manipulation and analysis
• Strong experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure)
• Expertise in developing and deploying machine learning models, including deep learning techniques
• Excellent communication skills to collaborate with cross-functional teams and present findings to stakeholders
• Familiarity with educational data and assessment metrics is a plus

• Competitive monthly salary range with performance-based bonuses
• Fully remote work flexibility to maintain work-life balance
• Comprehensive health and wellness benefits, including medical, dental, and vision coverage
• Professional development opportunities, such as conferences and training in AI and data science
• Generous paid time off and flexible vacation policy
• Access to cutting-edge tools and resources for research and innovation
• Collaborative and inclusive work environment focused on educational impact