Lead Data Scientist, Generative AI Products, Digital Transformation

About the position Responsibilities • Collaborate with the Data Science and Machine Learning team to create AI solutions for constituents. • Translate stakeholder needs into user-facing applications leveraging NLP techniques and LLMs. • Work on products like conversational search interfaces, chatbots, and text summarizers. • Partner with Product Managers and Engineers to develop production-grade algorithms. • Architect the framework and infrastructure for GenAI products. • Develop techniques to optimize model performance for product goals. • Align technical roadmap with product management and engineering leads. • Establish protocols for fair and transparent LLM applications. • Lead efforts to assess and mitigate risks due to model biases. • Implement feedback pipelines and monitoring for model safety. • Design and curate high-quality datasets for LLM training. • Build data science pipelines and provide documentation for re-usability. • Communicate effectively to technical and non-technical audiences. • Contribute research to academic conferences and journals. Requirements • Minimum of seven years' post-secondary education or relevant work experience. • Bachelors/Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or 8+ years equivalent work experience. • 3-5 Years Experience in developing machine learning models in a commercial environment. • Experience with production RAG pipelines and information retrieval systems. • Strong Python skills required. • Minimum of three years' experience building production NLP and deep learning models using PyTorch/Tensorflow. • Experience with large language model architectures (BERT, GPT-3 etc.). • Experience building advanced workflows using Langchain and similar tools. • Proficiency with various prompting techniques and understanding of tradeoffs between prompting and finetuning. • Experience with finetuning embedding models and tuning vector databases. • Experience with cloud computing platforms - AWS. • Prior experience in leading data science and machine learning. Nice-to-haves • Proficiency in at least one open-source programming language (R, Java, C++ or another) and SQL. • Experience establishing model guardrails and developing bias detection techniques. • Ability to mentor and lead others; provide hands-on technical guidance. • Ability to coordinate and track multiple deliverables across stakeholders. • Experience working in agile methodology. Benefits • Paid Time Off: 3-4 weeks of accrued vacation time per year, 12 accrued sick days, 12.5 holidays plus a Winter Recess, 3 personal days, and up to 12 weeks of paid leave for new parents. • Comprehensive medical, dental, and vision benefits, disability and life insurance programs. • Child and elder/adult care resources including on-campus childcare centers and wellness programs. • University-funded retirement plan with contributions from 5% to 15% of eligible compensation. • Tuition Assistance Program including $40 per class at the Harvard Extension School. • Tuition Reimbursement Program providing 75% to 90% reimbursement for eligible courses. • Professional Development programs and classes at little or no cost. • Various commuter options including discounted parking and public transportation passes. Apply tot his job