Machine Learning Engineer - Media Effectiveness
Madrid, Spain
Applications have closed
NielsenIQ
We’re unrelenting in our pursuit of the most detailed data sets, measuring every consumer transaction to deliver the knowledge that every business needs to drive growth.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.
About NIQ
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.
Want to keep up with our latest updates?
Follow us on: LinkedIn | Instagram | Twitter | Facebook
Our commitment to Diversity, Equity, and Inclusion
NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us.
We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide.
Learn more about how we are driving diversity and inclusion in everything we do by visiting the NielsenIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion/
NIQ or any of our subsidiaries will never ask you for money at any point of the recruitment or onboarding process.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Bayesian Causal inference Computer Science Deep Learning Distributed Systems Docker GraphQL Hadoop Kubernetes Machine Learning Pipelines Python R RDBMS Research Spark SQL Statistical modeling Statistics Testing
Perks/benefits: Career development Competitive pay Equity Flex hours Insurance Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open Principal Data Engineer jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs