Job Description, Responsibilities & Requirements
About the Position
We are looking for a number of Mid Research Scientists 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.
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 analyze 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.
Responsibilities
- Analyzing data and researching appropriate techniques
- Developing, testing, supporting, and delivering proof of concepts
- Developing and applying machine learning innovations
- Communicating results and conclusions accurately and clearly
- Performing feasibility studies and analyzing data
- Collaborating with technical fellows on integration and deployment of ML solutions
- Ensuring high-quality standards and minimal defects in data and software
Requirements
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)
We Offer
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
About the Company
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.
For more information, visit NIQ.com