Harvard University is looking for a Senior Data Scientist to lead comprehensive applications and web development for complex projects within Harvard Business School (HBS). You will play a pivotal role in developing innovative generative AI products that support the HBS Foundry team and learners on our platform.
What You'll Do
- Design and implement efficient data pipelines for data collection, cleaning, labeling, and preprocessing.
- Ensure quality of datasets tailored for LLM training and build data science pipelines from feature generation to model evaluation.
- Design, develop, deploy, and implement multi-agent AI tools that assess venture-related submissions, generate materials, and simulate entrepreneurial interactions.
- Design generative AI models using techniques like natural language processing and machine learning.
- Design an AI-powered system that collects key factors to determine a learner’s profile and provides customized learning pathways.
- Integrate AI tools into the HBS Foundry platform in a seamless manner for user access.
- Collaborate on technical vision to accelerate product impact through cutting-edge LLM innovations.
- Build guardrails, compliance rules, and oversight workflows into the GenAI tools and Foundry platform.
- Continually improve AI tools using feedback from users.
- Monitor, debug, track, and resolve production issues.
- Work with the Foundry Project Director to ensure projects proceed on time and on budget.
- Collaborate with Product Managers to track performance KPIs and prioritize improvements.
- Present prototypes and progress updates to stakeholders.
- Stay up to date on the latest advances in AI/ML research and identify new techniques for the platform.
- Collaborate with a team of engineers, designers, and subject matter experts.
- Build trust and collaboration by being present on-site and engaging directly with colleagues.
What We're Looking For
- Minimum of seven years’ post-secondary education or relevant work experience.
- Advanced degree in computer science, data science, engineering, or a related field within AI/ML.
Nice to Have
- 3+ years of experience building Generative AI models and tools.
- Experience working in a similar role in a startup environment.
- Expertise in NLP, deep learning, and other relevant techniques.
- Strong programming skills in Python and frameworks like TensorFlow.
- Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools.
- Experience integrating AI into consumer-facing applications.
- Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications using tools like NeMo.
- Experience with various embedding models and setting up and tuning vector databases.
- Experience working with a variety of relational SQL and NoSQL databases, big data tools (such as Hadoop, Spark, Kafka), and at least one cloud provider solution (AWS highly preferable).
- Experience in using version control systems such as Git.
- Experience with containerization and orchestration tools like Docker and Kubernetes.
- Experience with API development and integration for AI services.
- Understanding of and experience with software engineering best practices like version control, CI/CD, and containerization.
- Proficiency with various prompting techniques, with a clear understanding of tradeoffs between prompting and finetuning.
- Experience with finetuning embedding models and tuning vector databases.
- Experience operationalizing end-to-end machine learning applications.
- Excellent communication and collaboration skills.
- Passion for using AI to solve real-world problems.
Technical Stack
- Python, TensorFlow, Langchain, NeMo, Hadoop, Spark, Kafka, AWS, SQL, NoSQL, Git, Docker, Kubernetes
Team & Environment
You will be part of the Foundry team, collaborating with engineers, designers, and subject matter experts, and reporting to the Foundry Project Director.
Benefits & Compensation
- Generous paid time off including parental leave.
- Medical, dental, and vision health insurance coverage starting on day one.
- Retirement plans with university contributions.
- Wellbeing and mental health resources.
Work Mode
This is a hybrid position based in Boston, MA.
Harvard University is dedicated to creating a diverse and welcoming environment where everyone can thrive and fosters bold new ideas and collaborative learning networks.
