Research Scientist

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Research Scientist Madrid, MD, Spain Company Description: #LI-hybrid 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, researching novel ideas to improve them, and applying them to large scale problems, mainly in the domain of recommender systems and NLP (from semantic search to deep research agents). 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. NielsenIQ helps companies to meet the needs of people all over the world for food, health, hygiene, tech and durable products. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. This position opens the opportunity to research and apply state-of-the-art AI/ML techniques to strategic global projects. Job Description: Research, evaluate, and adapt state-of-the-art techniques to solve large-scale AI problems. Fine-tune and evaluate Transformer-based models and embedding models for domain-specific applications. Contribute to research initiatives in Information Retrieval, Product Matching, Recommendation Systems, and Generative AI. Collaborate with technical colleagues on the integration of ML solutions. Contribute to scientific publications, patents, and innovation initiatives.

Read the full description at jobs.smartrecruiters.com. FewerJobs shows a preview and links to the original posting.