Data Science Manager
Wayflyer
full-time
Posted on:
Location Type: Hybrid
Location: Dublin • Ireland
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About the role
- Lead a team of 4+ Data Science and ML Engineers.
- Oversee the end-to-end ML lifecycle: from dataset annotation and model training to deployment, monitoring, and infrastructure maintenance.
- Partner with Product and Engineering leads to define and execute a data science roadmap aligned with business growth and risk assessment.
- Implement best practices for reproducible data pipelines, automated testing, and documentation to ensure system reliability.
- Translate complex technical findings into actionable insights for VPs and C-suite executives.
- Ensure the team leverages AI and LLMs as accelerants to producing high quality outputs rather than as a crutch.
Requirements
- 5+ years in Data Science/ML, with 2+ years in a formal management or lead role.
- A proven track record of building and maintaining production ML systems yourself.
- Advanced proficiency in Python and SQL. You should have the core engineering skills required of a Software Engineer.
- Practical experience with model deployment, monitoring, and orchestration tools (e.g., Airflow, Dagster).
- Ability to translate business challenges (specifically in risk or growth) into technical data solutions.
Benefits
- 25 days of paid annual leave
- Access support and resources to support your wellbeing, including our *Wellbeing @ Wayflyer* ERG.
- Stay covered with private healthcare, life insurance, and critical illness cover.
- Our pension plan helps you build a strong foundation for tomorrow, starting today.
- We offer generous parental and adoptive leave, including 6 months of paid leave for Primary Caregivers and 3 months of paid leave for Secondary Caregivers.
- With our equity scheme, you're not just an employee; you're a stakeholder in our journey.
- Enjoy the freedom to work remotely from anywhere in the world for up to 60 calendar days a year.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data ScienceMachine LearningPythonSQLmodel deploymentmodel monitoringdata pipelinesautomated testinginfrastructure maintenancerisk assessment
Soft Skills
leadershipcommunicationcollaborationproblem-solvingtranslating technical findingsinsight generationteam managementstrategic planningadaptabilitycritical thinking