Harvard Business Publishing (HBP) is looking to enhance its product offerings and improve business outcomes by leveraging machine learning and data science techniques to drive product innovation and support analytics functions.
Requirements
- Extensive experience answering questions with and deriving strategic insights from data, including proficiency in probability and statistics, data querying and transformation with SQL, and developing interactive data dashboards and applications with tools like Streamlit
- Excellence in Python programming and experience with relevant data science and AI/ML packages such as pandas, scikitlearn, pytorch, and Langchain.
- Extensive experience in collaborative development with git
- 3+ years of experience developing products with, and guardrails for, LLMs strongly preferred
- Hands-on experience with developing, deploying, and maintaining ML infrastructure, including model training, evaluation, and deployment.
- Familiarity with MLOps tools and concepts including MLFlow, AWS Sagemaker, model registries, and CI/CD
- Practical experience with cloud services such as AWS (preferred), Azure, or Google Cloud for deploying and managing AI/ML workflows and containerization tools like docker
Responsibilities
- Lead inferential data science and predictive ML projects: Work closely with analytics teams to design and execute experiments, perform causal inference, and derive strategy-influencing insights from data.
- Derive attributes from core data assets: Extract meaningful attributes about HBP product end users, content, and the marketplace to support insight extraction and enhance product experiences
- Automate routine business reporting: Develop automated solutions for routine business reporting, including leveraging LLMs for data labeling, analysis, and transformation, catering to both internal and external users
- Participate as a technical resource in product development: Contribute as a technical expert in product development, focusing on the analytical data science role supporting innovation with data and AI
- Develop and maintain ML and AI infrastructure: Collaborate with HBP and HBS technical teams to develop and maintain the infrastructure needed for product-facing ML and AI applications
- Contribute to data engineering: Ensure quality and integrity of user, content, and market data by collaborating with the Data Engineering team to build and maintain data pipelines and product-facing APIs for HBP's central data warehouse relevant to products the AID is supporting
Other
- 5+ years in data science, ML/AI development, or a closely related field, with a proven track record of delivering business-influencing insights
- Excellent communication and stakeholder management skills, with the ability to work effectively across multiple teams and departments
- A strong passion for innovation and the ability to think creatively about how AI and ML can be applied to solve business problems and enhance product offerings
