Senior Data II Scientist

Our mission at HubSpot is to help millions of organizations grow better. On the Data & Systems Intelligence team, you’ll turn complex, ambiguous data into clear, actionable insights that directly shape how we acquire, support and grow our customers.

As a Senior II Data Scientist, you’ll operate with a high degree of autonomy and ownership, partnering closely with Customer Success and Sales leadership to solve some of the business’s most impactful problems. This is a senior individual contributor role where you are trusted to define problems, choose the right analytical approach, and drive work end to end — from exploration through execution — with meaningful influence on strategy and outcomes.

What You’ll Do

• Own complex, high-impact data science problems end to end, from framing ambiguous business questions through delivering actionable recommendations.
• Partner directly with CS and Sales leadership to influence strategy using advanced analytics, experimentation, and machine learning.
• Design, build, and deploy sophisticated models (e.g., forecasting, churn prediction, segmentation, causal inference) that drive measurable business impact.
• Lead exploratory analyses to identify risks, opportunities, and growth drivers across customer, revenue, and operational data.
• Decide independently on appropriate methodologies, tools, and trade-offs, balancing speed, rigor, and long-term scalability.
• Communicate insights and recommendations clearly to senior stakeholders through compelling, data-driven storytelling.
• Set and uphold a high bar for analytical quality, reproducibility, and technical rigor, leveraging AI-assisted workflows where they add value.
• Drive the application of GAI/LLMs into different rep-facing and customer-facing workflows.
• Act as a technical and analytical mentor, raising the bar for other data scientists and analysts through feedback, guidance, and example.

What You’ll Bring

• Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Engineering, or a related discipline, or equivalent practical experience.
• 5+ years of professional experience working in data science, machine learning, GAI, applied statistics, or a related quantitative role.
• Strong proficiency in Python, SQL, and modern data science workflows.
• Demonstrated experience applying statistical, machine learning, and GAI techniques to real-world business problems.
• Experience deploying and monitoring models or AI products in production environments or automated decision-making workflows.
• Proven ability to work autonomously, owning problem definition, execution, and outcomes with minimal oversight.
• Experience influencing senior stakeholders through clear communication, strong judgment, and data-backed recommendations.
• Comfort operating in ambiguity, with a strong sense of accountability and ownership for results.

Nice-to-Have Qualifications

• Master’s or PhD in a quantitative field (e.g., Data Science, Statistics, Computer Science, Economics, or related).
• Experience supporting go-to-market, Sales, or Customer Success teams in a SaaS environment.
• Experience developing AI-agents, or advanced modelling techniques to scale impact.