Senior Data Scientist

Summary

Join HubSpot's Data, Systems & Intelligence (DSI) team as a Senior Data Scientist and help millions of companies grow better. You will build strong relationships with internal stakeholders, design and build machine learning models, identify and mature data sources, and communicate findings to senior leadership. This role requires expertise in machine learning techniques, SQL, Python, and data visualization. You will partner with engineers, mentor junior data scientists, and contribute to improving HubSpot's data science practices. HubSpot offers a high-growth environment, values collaboration and autonomy, and was voted one of the 100 best companies to work for. The ideal candidate will have 5+ years of experience in data science with deployed models and strong communication skills.

Requirements

• 5+ years experience in data science with multiple models deployed in an operational setting
• Expert level knowledge in SQL and python programming (experience with DBT a plus)
• Proficient using version controls systems (git/github)
• Experience measuring accuracy of Gen AI systems
• Ability to effectively communicate data science concepts and results to non-technical audiences
• Ability to use data to persuasively present to senior management to inform strategic decision making

Responsibilities

• Build strong relationships with internal stakeholders, develop a deep understanding of their business problems, and act as a trusted advisor for AI solutions
• Design and build machine learning and statistical models that improve the performance of HubSpot’s go-to-market teams
• Identify and mature data sources that will further data science and business analytics at HubSpot
• Use data to inform key business decisions and communicate findings effectively with senior leadership
• Experiment with Generative AI (LLM/RAG) as a potential solution
• Keep current with technical and industry developments
• Partner with stakeholders and cross-functional teams to identify business problems, scope technical solutions, and build execution plans in a consultative manner
• Rapidly prototype solutions in an iterative manner, implementing user feedback throughout the development lifecycle
• Execute ad-hoc analytical experiments to rigorously test potential solutions and strategies, as well as identify potential business opportunities
• Define metrics which prove business value of deployed systems
• Partner with Engineers to build systems in a scalable and reusable manner
• Query, organize, integrate and clean data from multiple sources including both structured and unstructured data
• Mature the data science practice at HubSpot by contributing to initiatives such as improving internal feature stores or building new infrastructure capabilities
• Evangelize and drive adoption of the various data and AI products that you develop
• Mentor more junior data scientists and analysts

Preferred Qualifications

• 2+ years of experience leading data science initiatives
• Experience using a deep learning python framework (tensorflow, pytorch, etc)
• Experience building natural language processing models
• Experience prompt engineering and working with large language models (LLMs)
• A continued curiosity for the understanding and implementation of new technologies, such as Generative AI
• Familiarity with customer success, sales, or marketing is a plus!

Benefits

Remote work, flexible hours