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Urgent! Senior Data Scientist Job Opening In WorkFromHome – Now Hiring HubSpot



Job description

Overview

POS-29594 HubSpot’s mission is to help millions of companies Grow Better.

We’re seeking a talented, experienced Senior Data Scientist to join our Data & Systems Intelligence (DSI) team to support internal clients through the delivery of scalable AI/ML products and create leverage for the business.

This role sits on the Customer Success Data Science & AI team and focuses on building models and a strategy for extracting customer feedback, predicting NPS, and identifying promoters/detractors of our product.

The role uses structured and unstructured data and leverages both predictive and generative AI.

The candidate should be able to deploy models and drive strategy on how we gather and act on customer feedback.

You will join a high-growth team of Data Scientists, ML Engineers, and Analytic Engineers who value intellectual curiosity, collaboration, and autonomy.

You will work with stakeholders to understand business problems, design solutions, and lead timely execution.

Objectives of this Role

  • Design, build, and deploy machine learning systems that optimize measurable business outcomes across go-to-market functions
  • Identify and mature data sources to advance data science at HubSpot
  • Develop strong relationships with internal stakeholders and act as a trusted advisor for ML/AI solutions
  • Use data to inform key business decisions and communicate findings to senior leadership
  • Experiment with Generative AI (LLM/RAG) as potential business accelerants

Role Responsibilities And Duties

  • Partner with stakeholders and cross-functional teams to identify problems, scope technical solutions, and plan execution in a consultative manner
  • Lead design, prototyping, and deployment of ML models and intelligence products in iterative development cycles
  • Apply a broad range of machine learning techniques—including classical, deep learning, GenAI, and agent-based methods
  • Design and execute analytical experiments to validate hypotheses, test strategies, and uncover opportunities
  • Identify causes of outcomes and amplify positive results through deployed systems
  • Collaborate with engineers to implement models in scalable, maintainable, production-ready ways
  • Extract, clean, and structure data from structured and unstructured sources to support modeling
  • Champion adoption and usage of data and AI products through clear communication and enablement

Skills And Qualifications

  • 5+ years of data science experience with multiple ML models deployed and impacting real business outcomes, or 2+ years with a quantitative Master’s or PhD
  • Expert level Python and SQL; DBT experience is a plus
  • Proficient with version control systems (git)
  • Experience with A/B testing, causal inference methods, and experimental design
  • Proven track record building predictive models (e.g., churn, lead scoring, customer lifetime value, propensity) that improve GTM metrics
  • Experience with prompt engineering and evaluating GenAI systems
  • Ability to communicate with non-technical audiences and present to senior management

Preferred Qualifications

  • Background in econometrics, operations research, or quantitative marketing with B2B SaaS metrics
  • Experience with deep learning frameworks (TensorFlow, PyTorch, etc.)
  • Prior experience supporting GTM teams in B2B SaaS
  • 2+ years leading Generative AI initiatives
  • Experience building and deploying LLM agents
  • Experience building NLP models

For accommodations related to disability or travel, please contact the recruiting team.

HubSpot is committed to equal opportunity and does not discriminate based on any protected characteristic.

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Required Skill Profession

Bases De Datos, Analítica Y Bi



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