Job details

Senior Research Scientist - job 3 of 3

Get a free resume review

Company Description

NielsenIQ is a consumer intelligence company that delivers the Full View™, the world’s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. Our diversity brings out the best in each other so we can leave a lasting legacy on the work that we do and the people that we do it with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects

Job Description

We are looking for a Senior Research Scientist with a data-centric mindset to join our applied research and innovation team. The ideal candidate will have a strong background in machine learning, deep learning, operationalization of AI/ML and process automation.

You will be responsible for analyzing data, researching the most appropriate techniques, and the development, testing, support and delivery of proof of concepts to resolve real-world and large-scale challenging problems.

Job Responsibilities
Develop and apply machine learning innovations with minimal technical supervision. Understand the requirements from stakeholders and be able to communicate results and conclusions in a way that is accurate, clear and winsome. Perform feasibility studies and analyse data to determine the most appropriate solution. Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code. Both data and software must be developed and maintained with high-quality standards and minimal defects. Collaborate with other technical fellows on the integration and deployment of ML solutions. To work as a member of a team, encouraging team building, motivation and cultivating effective team relations.

Qualifications

Essential Requirements

Bachelor's degree in Computer Science or an equivalent numerate discipline
Demonstrated senior experience in Machine Learning, Deep Learning & other AI fields
Experience working with large datasets, production-grade code & operationalization of ML solutions
EDA analysis & practical hands-on experience with datasets, ML models (Pytorch or Tensorflow) & evaluations
Able to understand scientific papers & develop the idea into executable code
Analytical mindset, problem solving & logical thinking capabilities
Proactive attitude, constructive, intellectual curiosity & persistence to find answers to questions
A high level of interpersonal & communication skills in English & strong ability to meet deadlines
Python, Pytorch, Git, pandas, dask, polars, sklearn, huggingface, docker, databricks

Desired Skills

Masters degree &/or specialization courses in AI/ML. PhD in science is an added value
Experience in MLOPs (MLFlow, Prefect) & deployment of AI/ML solutions to the cloud (Azure preferred)
Understanding & practice of LLMs & Generative AI (prompt engineering, RAG).
Experience with Robotic Process Automation, Time Series Forecasting & Predictive modeling
A practical grasp of databases (SQL, ElasticSearch, Pinecone, Faiss)
Previous experience in retail, consumer, ecommerce, business, FMCG products (NielsenIQ portfolio)

Additional Information

With @NielsenIQ, we’re now an even more diverse team of 40,000 people – each with their own stories

Our increasingly diverse workforce empowers us to better reflect the diversity of the markets we measure.

Our Benefits

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

#LI-Hybrid

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?

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

NielsenIQ Glassdoor Company Review

3.9

NielsenIQ DE&I Review

4.1

CEO of NielsenIQ

Jim Peck

Approve of CEO

Average salary estimate

$110000 / YEARLY (est.)

min

max

$90000K

$130000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Research Scientist, NielsenIQ

Join NielsenIQ as a Senior Research Scientist and be at the forefront of consumer intelligence! Located on Mount Poonamallee Road in vibrant Madrid, you’ll immerse yourself in a data-centric environment that values innovation and collaboration. With a rich history dating back to 1923, NielsenIQ is dedicated to pushing boundaries, putting together the brightest minds to gain the Full View™, our comprehensive approach to understanding consumer behavior. In this pivotal role, you’ll leverage your expertise in machine learning and AI to tackle real-world challenges that drive growth and innovation. As a Senior Research Scientist, you’ll analyze complex datasets, develop proof of concepts, and translate stakeholder requirements into actionable insights. Your projects will ensure high standards of quality and maintainability, focusing on scalable solutions in cooperation with a talented team of professionals. With your strong analytical skills and proactive attitude, you’ll find joy in problem-solving and building robust ML systems that excel in both functionality and clarity. We believe that diversity fuels creativity; hence, we encourage candidates from various backgrounds to apply. At NielsenIQ, you will not only see your contributions make a difference in the industry but also enjoy benefits like a flexible working environment and opportunities for continuous learning. If you have the expertise in deep learning and operationalizing AI solutions, let’s accelerate together at NielsenIQ!

Frequently Asked Questions (FAQs) for Senior Research Scientist Role at NielsenIQ

What are the responsibilities of a Senior Research Scientist at NielsenIQ?

As a Senior Research Scientist at NielsenIQ, your main responsibilities will include analyzing complex data sets, developing machine learning models, conducting feasibility studies, and delivering proof of concepts. You will be expected to communicate your findings clearly to stakeholders, ensuring that your solutions are not only innovative but also practical and scalable.