Machine Learning Engineer - Media Effectiveness

Key Skills

Apache Hadoop, Deep Learning, Machine learning techniques, Python Programming, R Programming, RDBMS, SPARK Programming, SQL

Job Description

Join our team and play a pivotal role in developing Marketing Science solutions across various domains including marketing effectiveness, brand management, and pricing research. As a key member of our team, you will support product development through concept testing phases, scaling, and production. Additionally, you will be responsible for transforming proofs-of-concept into scalable, production-ready code, contributing to the growth and success of our projects. If you're ready to make an impact and drive innovation in the world of marketing analytics, we encourage you to apply!

Responsibilities:

• Develop, implement and standardize marketing science solutions in proofs-of-concept and prototypes
• Continuously improve the efficiency of the marketing science products (e.g. ensure quality by adherence to coding guidelines, documentation and reproducibility)
• Optimize marketing science models using code optimization, high-performance computing and real-time techniques
• Build analytical pipelines at scale using cloud services, containerized applications and distributed systems
• Identify best practices and create continuous improvement of tools and methods
• Closely collaborate with Product Owners, Modellers, Marketing Scientists and Front End Software Engineers

 Qualifications:

• Bachelor or Master degree that reflects strong statistical/mathematical / computer science skills
• Typically 2+ years of relevant work experience
• Solid knowledge of analytic programming languages (R and Python are a must have) and the respective Machine Learning / Statistical Modeling ecosystem
• Solid knowledge of optimization and/or machine learning algorithms and/or deep learning algorithms
• Solid knowledge of computer science fundamentals, software design principles and patterns, patterns and testing strategies
• Basic skills with regard to working in (big) database environments (e.g. RDBMS, Spark, Hadoop)
• Solid skills with SQL
• Solid skills concerning performance optimization and scalability (e.g., parallelization, code optimization, functions as a service)
• Solid statistical skills and knowledge of econometric techniques,
  • either in survey statistics (sampling, non-response adjustments, Bayesian statistics),
  • or econometric modelling (program evaluation, forecasting, economic theory, panel data),
  • or observational causal inference (potential outcomes, structural equation models, instrumental variables)
  • or experimental design.
• Basic understanding of Dockerization and Kubernetes/docker-compose
• Solid skills in REST-API/GraphQL with the ability to deploy services

Soft Skills:

• Mathematical thinking, strong analytical and problem-solving skills
• Good attention to detail – ensure all outputs are delivered professionally and accurate
• Good interpersonal skills – treat others with respect, be cooperative, friendly and considerate of others. Be a good role model, help to build teamwork and team spirit
• Be well-organised and flexible, and demonstrate self-confidence, decisiveness and commitment
• Good experience with agile development practices
• Ease of communication in an English-speaking business environment

Additional Information

Benefits:

• Culture: flat, open and informal organization. Our NielsenIQ Values are to be Open, Connected, Personal and Useful. Our people are our greatest asset, and we look for like-minded, positive, and awesome people to join our team.
• We offer a competitive salary that includes life insurance, meal vouchers, and hybrid work system.
• Development: we encourage growth and promote internal mobility so that you can further develop in our Department or somewhere else in the company.