The ASSISTments product team will be engaging in ambitious R&D to make our user experience more personalized, impactful and automated through applications of AI/ML. This is an excellent opportunity for a skilled data scientist and machine learning expert to make a significant impact on an industry-changing product in the ed-tech space. As our reach has increased, so has the scale of our rich data sets on educational practices and assessment performance. We’re looking for a talented and resourceful Data, AI, and ML expert to help ASSISTments better serve teachers and students with a suite of AI powered features.

We pride ourselves on a culture of empowering team members to tackle ambitious challenges with creative solutions that help the students who need it most. There are constantly opportunities to work on new things that will stretch your limits and your talents. Let’s build something amazing together.

Responsibilities
Collaborate with a talented team of data engineers & analysts to drive data-centered initiatives
Co-design and architect a pipeline and warehousing system for streaming, transforming, and storing structured application data for AI/ML and analysis purposes
Build and maintain systems for managing model training, fine-tuning, deployment, and evaluation to support model-agnostic feature development
Explore and compare different self-hosted and off-the-shelf models and architectures for various use-cases, determining which is most appropriate for which purpose
Create and iterate on prompts to power a user-facing LLM-powered features
Fine-tune models for optimized performance on specific applications
Educate team members on AI capabilities to check feasibility and co-ideate solutions
Advise colleagues on best practices for prompt engineering and AI feature development
Conduct targeted analysis on platform data to guide and inform organizational strategy
Collaborate with product team to design and analyze A/B tests to maximize adoption, engagement, and student learning
Develop a standardized growth metric and analysis to evaluate and showcase ASSISTments value to external stakeholders
Identify, communicate, and capitalize on opportunities across the organization to leverage additional value from data, AI, and ML

Professional Qualifications

Technical Skills
Python, pandas, numpy, scikit-learn
PostgreSQL
Prompt engineering for user-facing application features
Retrieval Augmented Generation (RAG)
Qualitative and quantitative techniques for evaluating model output
Data cleaning and processing
Statistical analysis
Git + GitHub
Nice to have some familiarity with Flask

About You

Must Have
You have experience taking AI powered solutions from concept to production
MS or higher in Statistics, Data Science, AI/ML, or related field
You are goal-oriented, inclined to take ownership, and motivated to deliver results that benefit the product and the organization.
You are a fast learner, able to quickly get up to speed on complicated topics.
You are both creative and analytical, applying either skill when appropriate.
You have a passion for process improvement, efficiency, and innovation.
You have an extreme attention to detail.
You are committed to fostering diversity, equity and inclusion in the workplace and in our educational systems

Nice to Have
5+ Years of experience in AI, ML and statistics
PhD in Statistics, Data Science, AI/ML, or related field
PhD or MS in Statistics, Data Science, AI/ML, or related field

We are looking for team members who will:
Demonstrate integrity and a commitment to excellence
Remain flexible and adaptable as we continue to grow and evolve as an organization
See beauty in the big picture, yet remain attentive to the details
Communicate with professionalism and respect
Manage multiple projects while recognizing priorities
Easily collaborate with team members, yet demonstrate the ability to work independently
Recognize the importance of diverse points of view and an inclusive work culture