Director, Data Science

• Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes
• Act as a strategic advisor and thought leader, identification, rollout & championing the adoption of AI/ML across the organization
• Build, mentor, and lead a high-performing, collaborative team of IT data scientists, IT Data Product Managers, and IT data engineers
• Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives
• Develop new ideas, brainstorm with Business partners on how the latest innovations in AI can improve business performance
• Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value
• Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization
• Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions
• Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement
• Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs
• Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility
• Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability.

• 10+ years of experience in Business Data analytics, Data Science roles in B2B SaaS
• Proven track record of building and leading high-impact data science teams
• Proven experience deploying machine learning models at scale in production environments
• Familiarity with modern data stacks: cloud data warehouses (Snowflake/Databricks/AWS), BI Tools, orchestration tools, and MLOps platforms
• Exceptional communication and storytelling skills. You can simplify complexity and influence at all levels.

Bachelor's in a quantitative field such as Computer Science, Statistics, Mathematics, or similar, with an advanced degree (Master's degree or higher) preferred.

• Competitive salary
• Comprehensive benefits package
• Flexible work arrangements
• Company equity
• ESPP (Employee Stock Purchase Program)
• Retirement or pension plan
• Generous paid vacation time
• Paid holidays and sick leave
• Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
• Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)
• Paid volunteer time off: 20 hours per year
• Company-wide hack weeks
• Mental wellness programs