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DEDelivery Hero

Director of Data Science, Deep Learning(m/w/x)

Berlin
Full-timeWith Home OfficeManagement
AI/ML
Data Science

Architecting transformer-based deep learning models for a global delivery platform. 8+ years leadership experience scaling AI teams required. 27 days holiday, €1000 educational budget.

Requirements

  • At least eight years of professional leadership experience
  • Experience scaling high-performing data science teams
  • Experience scaling high-performing deep learning teams
  • Proven track record applying advanced AI modelling
  • Experience in AdTech, digital marketplaces, or computational economics
  • Master's degree or higher in a quantitative field
  • Strong technical foundation as previous individual contributor
  • Expertise in Python
  • Expertise in SQL
  • Hands-on mastery of deep learning frameworks
  • Hands-on mastery of Keras, TensorFlow or PyTorch
  • Mastery of Pandas, PySpark, and NumPy
  • Expertise in managing cloud-scale deep learning solutions
  • Expertise in modelling cloud-scale deep learning solutions
  • Expertise in deploying cloud-scale deep learning solutions
  • Experience with high-volume, real-time data in cloud environments
  • Exceptional ability to communicate complex deep learning concepts
  • Ability to communicate business implications clearly
  • Ability to communicate to technical teams
  • Ability to communicate to senior leadership

Tasks

  • Architect state-of-the-art deep learning models
  • Influence AI strategy
  • Develop cutting-edge methodologies
  • Design and implement advanced deep learning architectures
  • Implement transformers and sequence-based attention-driven AI models
  • Implement generative ranking approaches
  • Implement long-term interest networks for user personalization
  • Establish comprehensive evaluation frameworks for deep learning models
  • Measure internal model-centric metrics (e.g., NCE, ROCAUC, PRAUC)
  • Measure business metrics during live A/B testing
  • Collaborate and align with engineering teams
  • Collaborate and align with commercial teams
  • Collaborate and align with product teams
  • Develop scalable data pipelines
  • Develop scalable feature pipelines
  • Maintain scalable data pipelines
  • Maintain scalable feature pipelines
  • Ensure efficient training of deep learning models
  • Ensure efficient deployment of deep learning models
  • Ensure efficient monitoring of deep learning models
  • Ensure ongoing performance of deep learning models
  • Stay knowledgeable on deep learning trends
  • Stay knowledgeable on machine learning engineering trends
  • Drive team adoption of cutting-edge methodologies
  • Collaborate on defining the technical roadmap
  • Leverage advanced data processing tools (e.g., MonteCarlo, dbt)

Work Experience

  • 8 years

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • SQL
  • Keras
  • TensorFlow
  • PyTorch
  • Pandas
  • PySpark
  • NumPy

Benefits

Flexible Working

  • Hybrid working model

More Vacation Days

  • 27 days holiday
  • Extra holiday day on 2nd and 3rd year of service

Additional Allowances

  • 1000 € Educational Budget
  • Digital Meal Vouchers
  • Food Vouchers

Learning & Development

  • Language Courses
  • Udemy Business platform access

Family Support

  • Parental Support

Healthcare & Fitness

  • Health Checkups
  • Gym & Bicycle Subsidy

Mental Health Support

  • Meditation

Competitive Pay

  • Employee Share Purchase Plan

Workation & Sabbatical

  • Sabbatical Bank

Public Transport Subsidies

  • Public Transportation Ticket Discount

Other Benefits

  • Life & Accident Insurance

Retirement Plans

  • Corporate Pension Plan

Corporate Discounts

  • Corporate Discounts
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Delivery Hero and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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