Lead Data Scientist

Location: Remote - Ireland

Department: Operations

About the Role

At HubSpot, we believe in powering growth for millions of customers through our inbound marketing, sales, and CRM platform. As a Lead Data Scientist in Operations, you'll spearhead data science initiatives that drive HubSpot's mission to help businesses grow better. You'll lead a high-performing team to unlock insights from vast CRM datasets, optimizing customer experiences, marketing ROI, and revenue predictability in our customer-obsessed culture. Your role will involve architecting ML solutions for key challenges like predictive lead scoring, churn reduction, and personalized inbound campaigns. Collaborating closely with product, engineering, sales, and marketing teams, you'll translate complex data into actionable strategies that embody HubSpot's growth mindset. Expect to thrive in our transparent, adaptable environment where experimentation and bold ideas fuel remarkable outcomes. We're seeking a visionary leader passionate about AI's role in SaaS innovation. With HubSpot's emphasis on HEART values—Humble, Empathetic, Adaptable, Remarkable, Transparent—you'll mentor talent, foster innovation, and contribute to a remote-first culture that celebrates wins and learns from failures. Join us to shape the future of growth marketing through data science.

Key Responsibilities

• Lead a team of data scientists to develop advanced ML models for customer segmentation, churn prediction, and lead scoring within HubSpot's CRM ecosystem
• Design and execute data-driven experiments to optimize inbound marketing campaigns and revenue growth
• Collaborate with product, engineering, and marketing teams to integrate predictive analytics into HubSpot's growth platform
• Build scalable data pipelines and infrastructure to handle petabyte-scale CRM and behavioral data
• Mentor junior data scientists, fostering HubSpot's culture of transparency, experimentation, and customer obsession
• Analyze complex datasets from HubSpot's inbound tools to uncover insights driving customer acquisition and retention
• Develop and deploy real-time ML models for personalized marketing recommendations and sales forecasting
• Partner with operations leadership to align data science initiatives with HubSpot's HEART values (Humble, Empathetic, Adaptable, Remarkable, Transparent)
• Communicate findings through compelling visualizations and stories to influence executive decisions
• Stay ahead of industry trends in AI/ML applied to SaaS, CRM, and growth marketing
• Champion ethical AI practices and data privacy in all modeling efforts

Required Qualifications

• Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field
• 7+ years of professional experience in data science, machine learning, or predictive analytics
• Proven track record of leading data science teams and delivering impactful projects at scale
• Advanced proficiency in Python or R for data analysis, modeling, and deployment
• Deep expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience with big data technologies like Spark, Hadoop, or cloud-based data platforms (e.g., AWS, GCP)
• Strong understanding of CRM data structures, customer behavior analytics, and marketing attribution
• Excellent communication skills with the ability to translate complex data insights into business strategies

Preferred Qualifications

• Experience working with CRM platforms like HubSpot, Salesforce, or Marketo
• Background in inbound marketing analytics, lead scoring, or customer journey optimization
• Familiarity with A/B testing, experimentation platforms, and causal inference methods
• Prior leadership in a high-growth SaaS environment with a focus on customer-centric data products
• Contributions to open-source projects or publications in data science/ML conferences

Required Skills

• Python, R
• Machine Learning (supervised/unsupervised)
• Deep Learning frameworks (TensorFlow, PyTorch)
• SQL, Spark, Hadoop
• Data visualization (Tableau, Power BI, Matplotlib)
• Statistical modeling and inference
• A/B testing and experimentation
• CRM data analysis (HubSpot, Salesforce)
• Customer journey analytics
• Lead scoring and propensity modeling
• Big data processing and ETL
• Cloud platforms (AWS, GCP, Azure)
• Leadership and team management
• Cross-functional collaboration
• Storytelling with data
• Problem-solving in ambiguous environments
• Adaptability in fast-paced growth settings

Benefits

• Competitive salary and equity in a publicly-traded company with unlimited PTO
• Comprehensive health, dental, and vision insurance with 100% premium coverage for employees
• 401(k) matching, parental leave, and fertility benefits
• Remote-first culture with flexible work arrangements and home office stipend
• Professional development budget, including access to conferences and HubSpot Academy
• Weekly wellness stipend, mental health support, and employee assistance programs
• HubSpot swag, culture events, and opportunities to contribute to open-source projects
• Volunteer time off and partnerships with organizations aligned with our growth culture

HubSpot is an equal opportunity employer.