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ML Engineer

Company Description

#LI-Hybrid

As an NIQ company, we are the world's leading consumer intelligence firm, delivering the Full View™ on consumer behavior. We work to enable manufacturers and retailers better understand what consumers really want. Our name has inspired trust for over 89 years because we take pride in discovering new pathways to sustainable growth for our clients, our people, and our planet.

We are always looking for open-minded people who will grow with us, push boundaries, and pioneer disruptive methods in market research, data science, technology, and AI. If you share this passion to drive things forward and the integrity to insist on doing things the right way, we'll equip you to take your future into your own hands and play a leading role in our story.

Job Description

Mission 

  • Develop Marketing Science solutions in the area of media analytics  

  • Support the product development during concept testing phases, 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 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 

  • Strong expertize in Python usage - at least 3 years of development 

  • Understanding of R 

  • Experienced in statistical modelling on top of predictive modeling 

  • Able to manage code deployments (experience with GIT) 

  • Basic understanding of Dockerization – building and managing docker images 

  • Experienced with creating, managing and/or maintaining code documentation 

  • Solid skills concerning performance optimization and scalability (e.g., parallelization, code optimization, functions as a service) 

  • Ability to present and explain complex concepts to less experienced colleagues 

Soft Skills 

  • Strong analytical and problem-solving skills 

  • Able to work independently 

  • 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 

  • Well-organised and flexible, and demonstrate self-confidence, decisiveness and commitment able to work alone without constant support, and well organized 

  • Ease of communication in an English-speaking business environment 

Additional Information

Hybrid : 1 a week at Madrid office - Flex working mode

Our Benefits

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

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

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Average salary estimate

$70000 / YEARLY (est.)
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$80000K

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What You Should Know About ML Engineer, NielsenIQ

At NIQ, we're excited to welcome an innovative ML Engineer into our dynamic team based in the heart of Madrid! Here, we pride ourselves on being the world's leading consumer intelligence firm, providing unparalleled insights into consumer behavior that shape market strategies. As an ML Engineer, your mission will be to develop cutting-edge Marketing Science solutions, transforming proofs-of-concept into robust, production-ready code. You’ll play an essential role in optimizing our marketing science models and improving product efficiency through coding best practices and high-performance computing techniques. Your work will directly impact how we help manufacturers and retailers understand consumer needs more deeply. Collaborating closely with Product Owners, Modellers, and Front End Software Engineers, you'll derive actionable insights from data while ensuring that our products are not only functional but also cutting-edge. We value creativity and a problem-solving spirit, and with our hybrid working model, you’ll enjoy a balance of in-office collaboration and remote flexibility. If you have a strong background in statistical and mathematical skills and are a Python expert with a keen interest in pushing boundaries, we want to hear from you. Join us in shaping the future of consumer behavior insights, all while enjoying benefits like volunteer time off and a flexible working environment!

Frequently Asked Questions (FAQs) for ML Engineer Role at NielsenIQ
What are the main responsibilities of an ML Engineer at NIQ?

As an ML Engineer at NIQ, your primary responsibilities include developing and implementing marketing science solutions, optimizing marketing models, and building analytical pipelines at scale. You'll collaborate with various teams to ensure product development aligns with our consumer insights goals and maintain high coding standards.

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What qualifications do I need to become an ML Engineer at NIQ?

To qualify for the ML Engineer position at NIQ, candidates should possess a bachelor's or master's degree that showcases strong skills in statistics, mathematics, or computer science. A minimum of three years of experience in Python development and familiarity with statistical modeling are essential, along with abilities in code deployment and optimization.

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What programming languages are important for the ML Engineer role at NIQ?

For the ML Engineer role at NIQ, proficiency in Python is a must, as it is crucial for developing and optimizing models. Additionally, a basic understanding of R and experience with Docker is beneficial for managing projects and enhancing collaboration.

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What type of work environment can I expect as an ML Engineer at NIQ?

NIQ offers a hybrid work environment, allowing ML Engineers to enjoy flexibility. You'll have the opportunity to work both from our vibrant Madrid office and remotely, fostering a collaborative culture while also supporting work-life balance.

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How does NIQ support ongoing learning and development for its ML Engineers?

At NIQ, we are committed to fostering growth for our ML Engineers through resources like LinkedIn Learning and an Employee-Assistance Program. These initiatives not only encourage skill development but help you thrive in your roles and advance your career.

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Common Interview Questions for ML Engineer
Can you describe a challenging problem you solved in your previous ML engineering work?

When answering this question, highlight a specific project where you faced a significant challenge, detailing the steps you took to approach the problem, the solution you implemented, and the outcomes achieved. Be sure to mention any tools and techniques you used that are relevant to the ML Engineer role.

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How do you approach optimizing machine learning models?

In your response, discuss your process for identifying areas of improvement in models, such as adjusting hyperparameters and enhancing features. Share a past experience where you successfully optimized a model, and mention any specific techniques or metrics you used to measure success.

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What experience do you have with cloud services in building analytical pipelines?

Highlight your familiarity with cloud platforms (e.g., AWS, Azure) and how you've utilized them to build scalable analytical pipelines. Discuss specific projects where you implemented these services and the impact they had on performance and efficiency.

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Explain how you ensure code quality in your projects.

Discuss practices such as code reviews, adherence to style guides, automated testing, and continuous integration. Use examples from your experience to illustrate how maintaining code quality led to more efficient and robust ML solutions.

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What is your experience with statistical modeling and predictive analytics?

Share your background in statistical modeling techniques, such as regression analysis or time-series forecasting. Reference specific projects where you applied these skills and what tools (e.g., Python libraries) you used to execute your analysis.

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Can you describe how you work collaboratively with cross-functional teams?

Mention specific instances where you've successfully collaborated with Product Owners, Modellers, or Software Engineers, focusing on clear communication, shared goals, and how these partnerships enhanced the project's success.

Join Rise to see the full answer
How do you stay updated on the latest trends and technologies in machine learning?

Highlight your commitment to continuous learning by discussing resources such as online courses, webinars, or professional networking. Mention any recent trends in ML that excite you and how they can potentially benefit a role like the one at NIQ.

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What tools do you use for code deployment?

Discuss your familiarity with tools like Git for version control and any automation tools you've utilized for CI/CD. Provide examples of how you've successfully managed code deployments in previous roles.

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Explain your experience with performance optimization techniques.

Detail techniques you've applied to optimize the performance of machine learning models, such as parallelization or using serverless architectures. Provide examples showcasing your results and the improvements gained.

Join Rise to see the full answer
How would you explain a complex ML concept to a non-technical stakeholder?

Highlight your ability to distill complex information into easily digestible terms. Illustrate with an example where you successfully communicated technical details to a non-technical audience, ensuring they grasped the core of your work.

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DATE POSTED
April 16, 2025

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