ML Engineer

Nabla; Madrid; Presencial; EUR 38.400 - 54.700; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Descripción de la vacante

Nabla is seeking a Machine Learning Engineer for their Marketing Effectiveness platform. You will develop innovative solutions in media effectiveness and optimize statistical models that drive marketing investments.

The ideal candidate will possess a degree in a relevant field and have at least 3 years of experience in Python, statistical modeling, and cloud services. Flexible working conditions and a commitment to diversity are core to Nabla's culture.

Formación

• Bachelor or Master degree that reflects strong statistical/mathematical/computer science skills.
• Strong expertise in Python – at least 3 years of development.
• Experience in (predictive) statistical modeling and causal inference.

Responsabilidades

• Develop, implement and standardize Marketing Science solutions.
• Continuously improve the efficiency of Marketing Science products.
• Optimize Marketing Science models for performance and scalability.
• Build analytical pipelines using cloud services and distributed systems.

Conocimientos

Python

Statistical modeling

Causal inference

GIT

Docker

Cloud services (Azure or AWS)

Kubernetes

Airflow

Educación

Bachelor or Master degree in relevant field

Herramientas

Docker

Cloud services

Descripción del empleo

Company Description

#LI-Hybrid

We're looking for a ML Engineer to help shape the machine learning core of 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.

Job Description

Mission

• Develop Marketing Science solutions in the area of Media Effectiveness
• Support product development during concept testing, scaling and production
• Transform proofs-of-concept into scalable, production-ready code

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

Qualifications

• 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 of Kubernetes and Airflow is a plus

Soft Skills

• Strong analytical and problem-solving skills
• Ability to work independently
• Pronounced 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
• Well-organized and flexible, and demonstrate self-confidence, decisiveness and commitment
• Ability to work alone without constant support, and well organized
• Ease of communication in an English-speaking business environment

Additional Information

Salary: €38,400 – €54,700 gross per year. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender-neutral and objective criteria.

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

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 https://nielseniq.com/global/en/news-center/diversity-inclusion