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AIAily Labs

Principal/Senior/Mid - Data Scientist(m/w/x)

München
Full-timeWith Home Office
AI/ML
Data Science

Developing AI-driven features for a B2B SaaS decision intelligence app, from forecasting to LLM-powered recommenders. Advanced Python/SQL skills and comprehensive MLOps expertise required. Direct impact on enterprise decision intelligence product development.

Requirements

  • Strong Python/SQL skills
  • Basic MLOps knowledge (Airflow, MLflow, unit testing)
  • Solid ML fundamentals
  • Comprehensive MLOps expertise
  • Advanced Python/SQL skills
  • Domain specialization
  • Ability to enforce code quality standards
  • Legal right to work in Spain

Tasks

  • Build and maintain AI-driven features (forecasting, classification, regression, recommenders, LLM-powered)
  • Contribute to app features with guidance
  • Improve models, pipelines, and deliverables
  • Present results and findings to your team
  • Identify gaps in product understanding
  • Learn to explain product and AI
  • Deliver assigned tasks autonomously and on time
  • Own specific app features
  • Continuously improve models, pipelines, and monitoring
  • Ensure robust production performance
  • Communicate and align with internal stakeholders
  • Identify business opportunities
  • Explain AI's impact on business outcomes
  • Design end-to-end ML pipelines for small projects
  • Mentor junior team members on technical topics
  • Enforce code quality standards across the team
  • Own key features and projects
  • Design and improve models, pipelines, and experimentation frameworks
  • Lead major AI projects with full accountability
  • Break down work and assign tasks
  • Manage multiple workstreams with stakeholder alignment
  • Communicate and align with internal and external stakeholders
  • Translate business requirements into AI solutions
  • Make informed speed vs. quality trade-offs
  • Provide technical mentorship
  • Set modeling standards
  • Drive cross-functional delivery with PMs, engineers, customers
  • Demonstrate technical excellence, business acumen, and strategic vision
  • Define and own AI domain roadmaps
  • Transform ambiguous business challenges into structured action plans
  • Lead multiple simultaneous projects across workstreams
  • Shape product strategy with Product Managers and Engineers
  • Manage project risks
  • Ensure timely, high-quality releases
  • Estimate AI solution impact on KPIs and outcomes
  • Identify domain-wide opportunities
  • Influence business strategy
  • Mentor and manage Data Science team members
  • Define team standards
  • Drive impactful cross-functional delivery
  • Empower team members

Education

Bachelor's degreeORMaster's degree

Languages

EnglishBusiness Fluent

Tools & Technologies

PythonSQLMLOpsAirflowMLflowunit testingML
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