Job Description Summary:As an Associate Data Scientist at Amplify, you will join a talented, cross-functional team dedicated to seeking empirical answers to crucial questions about Amplify's products. You'll play an active role in using data to inform product strategy, product efficacy, and drive business outcomes. In doing so, you will directly influence the learning journeys of millions of students, helping to ensure our solutions provide the rigor and delight educators expect.
Reporting to our Senior Data Science Manager, this is an exciting opportunity for a curious, early-career data scientist to tackle real-world education problems. We are deeply committed to providing a collaborative environment where you'll be encouraged to ask questions, experiment, and grow your skillset alongside a team that is passionate about scaling the impact of educational technology.
Essential Responsibilities:As an Associate Data Scientist in the Product Spoke, you will analyze large-scale educational data to derive actionable insights that drive product design and improve customer experience. You will collaborate with cross-functional teams to tackle complex questions, leveraging both traditional analytical methods and emerging AI-driven workflows.
Key responsibilities include:
- Partner with product managers, researchers, engineers, and content developers to answer complex business and educational questions.
- Develop, evaluate, and maintain statistical models and AI-enabled analytical solutions..
- Communicate findings and recommendations to technical and non-technical stakeholders.
- Leverage AI-powered tools to improve exploratory analysis, feature engineering, and model development while maintaining high standards for code quality and evaluation.
Required Qualifications:- Bachelor's degree in a quantitative field (e,g., Data Science, AI Engineering, Computer Science, Economics, Math, Physics, Statistics) or equivalent experience.
- Proficient in using Python for data analysis tasks (data cleaning, manipulation, analysis).
- Experience in SQL for data analysis.
- Experience applying foundational statistical methods, such as regression and hypothesis testing.
- Experience applying AI solutions to a variety of problem domains.
- Experience with software development methodology and protocols, including version control and testing.
- Demonstrated ability to independently research, troubleshoot, and solve open-ended analytical problems.
- Excellent communication skills in writing and conversation, especially with non-technical partners.
- Comfortable working independently and collaboratively in a team environment.
Preferred Qualifications:- Experience training and evaluating the performance of machine learning models leveraging industry standard libraries like scikit-learn, xGBoost.
- Familiarity with AI/ML frameworks and libraries such as PyTorch, TensorFlow, or Hugging Face.
- Experience building or fine-tuning applications using Generative AI or Large Language Models.
- Experience working with Snowflake.
- Background in education or educational technology (EdTech)
