Director of AI, Data Science, and Machine Learning

EdSurge; Deutschland; Remote; EUR 80.000 - 100.000; Vollzeit

Jobbeschreibung

Director of AI, Data Science, and Machine Learning

ASSISTments Foundation - Remote - Full time

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
• 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

Additional Info & Compensation

The salary range for this position is $120,000-$165,000, with actual offer determined based upon experience and relevant qualifications.

All applicants must reside in the United States and must be legally authorized to work in the United States on a full-time basis. The ASSISTments Foundation is unable to provide sponsorship for employment visa status, now or in the future.

As an Equal Opportunity Employer, The ASSISTments Foundation seeks not just to accept differences, but to celebrate and embrace them for the benefit of our staff, our product, and our community. Employment is based solely on someone’s merit and qualifications directly related to their professional competence. We do not discriminate against any employee or applicant on the basis of race, creed, color, religion, sex, sexual orientation, gender identity/expression, national origin, disability, age, genetics, protected veteran status, marital status, pregnancy, or any other characteristic protected by law. As an organization, we are committed to an equitable and inclusive work environment because we believe it’s the right way to treat people.

The ASSISTments Foundation is a nonprofit that spun out of Worcester Polytechnic Institute in 2019. It's a best-in-class math practice & assessment platform to enable K-12 math teachers to assign high quality content and to use powerful data & reporting to better meet their students’ needs.

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