ML Engineer

About the Position

We're seeking a skilled ML Engineer to develop and optimize machine learning models for our Marketing Effectiveness platform, a globally scaled software application used by enterprise marketers to measure, forecast, and optimize media spend across channels, geographies, and business units.

You'll join a team of ML engineers building the statistical and machine learning systems that power lower funnel marketing channel attribution for some of the world's largest advertisers. This is a high-leverage role: your models directly shape how billions of dollars in marketing investment get deployed.

You will be joining an innovation & client first culture, where creative thinking and entrepreneurial spirit are championed, fostered, and harnessed into the next-gen features of our evolving marketing analytics platform.

Responsibilities

• Develop, implement, and standardize Marketing Science solutions in proofs-of-concept and prototypes
• Continuously improve the efficiency of our Marketing Science products (e.g. ensure quality by adherence to coding guidelines, documentation, and reproducibility)
• Optimize our 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
• Collaborate closely with Product Owners, Modelers, Marketing Scientists, and Front-End Engineers

Requirements

• Bachelor or Master degree that reflects strong statistical/mathematical/computer science skills
• Strong expertise in Python - at least 3 years of development
• Understanding of R
• Experience in (predictive) statistical modeling and causal inference
• Ability to manage code deployments (experience with GIT)
• Basic understanding of Dockerization – building and managing docker images
• Experience with creating, managing, and/or maintaining code documentation
• Solid skills concerning performance optimization and scalability (e.g., parallelization, code optimization, functions as a service)
• Experience with Cloud services such as Azure or AWS
• Ability to present and explain complex concepts to less experienced colleagues
• Familiarity with Kubernetes and Airflow is a plus

Nice to Have

• Advanced knowledge in R
• Proficiency in Kubernetes and Airflow

We Offer

• Compensation: €38,400 – €54,700 gross per year. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations.
• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

About the Company

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights-delivered with advanced analytics through state-of-the-art platforms-NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Our Commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the NIQ Diversity and Inclusion page.

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