Harvard University is hiring a Senior Data Scientist

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.