Senior React Frontend Developer

Senior Research Scientist – Home office Spain

Company Description

We are a team of passionate, curious and diverse professionals who care about each other, our work, our company and the world. We are looking for someone who combines skill in machine learning with an ability to connect with people and see the wider context for a range of business problems.

You will be responsible for assessing state-of-the-art techniques and applying them to large scale problems, mainly in the domain of NLP. To solve problems effectively, you will need to be able to build relationships and understand the business context in which we are operating. This position will suit someone who has a deep understanding of machine learning and is comfortable presenting clearly and winsomely to a non-technical audience.

Job Description

• Develop and apply machine learning innovations to business problems with minimal technical supervision.
• Code high quality architecture around ML models, creating robust, readable and reusable code.
• Assess your own and others’ results to understand their applicability in the real world.
• Understand stakeholders’ requirements and communicate results and conclusions accurately, clearly and winsomely.
• Perform feasibility studies and analyze data to determine the most appropriate solution.
• Maintain and develop data and software with high-quality standards and minimal defects.
• Collaborate with technical colleagues on the integration and deployment of ML solutions.
• Build strong relationships within the team and with stakeholders across the company.

Qualifications

• Bachelor’s degree in computer science or an equivalent numerate discipline.
• Demonstrated senior-level experience in Machine Learning and Deep Learning using Pytorch.
• Experience performing EDA with large datasets and writing production-grade code.
• High quality coding and an understanding of SOLID principles.
• Analytical mindset, problem solving and logical thinking capabilities.
• A high level of interpersonal and presentation skills in English across cultures.
• Keen to work as part of a diverse team of international colleagues and in a global inclusive culture.
• A minimum of 5 years’ experience with evidence in a related ML field.

Good To Have

• Master's degree and / or specialization courses in ML / DL / NLP.
• Experience in MLOPs.
• Understanding and practice of Generative AI (prompt engineering, RAG).
• A practical grasp of databases (SQL, ElasticSearch) and Databricks.
• Experience in retail, consumer, ecommerce, business, FMCG domain.

Additional Information

• Home office - SPAIN ONLY.
• Enjoy a warm, flexible and rewarding work environment.
• Recharge and revitalize with help of wellness plans made for you and your family.
• Plan your future with financial wellness tools.
• Stay relevant and upskill yourself with career development opportunities.
• Flexible working environment.
• Volunteer time off.

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.

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.