Research Scientist – Generative AI & Applied Research

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

Offered From the posting source checked Jun 20, 2026

Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

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

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Research Scientist – Generative AI & Applied Research Valladolid, , Spain 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. By embracing our diversity, we inspire each other to excel and create a lasting impact through our work and the people we collaborate with. Job Description: We are looking for a hands-on Research Scientist with 6+ years of experience, strong machine learning fundamentals, and deep expertise in applied research methodology and evaluation . The role is focused on solving real business problems using Generative AI , building on strong ML fundamentals. You will work closely with product, engineering, and business stakeholders to understand problems, design experiments, evaluate GenAI-based solutions, and recommend practical approaches that can be scaled. Qualifications: What You'll Bring: 6+ years of experience in applied ML / AI roles Strong ML fundamentals , especially in experimentation design, evaluation, metrics, and error analysis Proven expertise in applied research methodology : hypothesis-driven work, controlled experiments, and clear conclusions Strong Python coding skills and ability to build fast, clean prototypes Hands-on experience with Generative AI and LLM-based systems (prompting, RAG-style solutions, evaluation of outputs) Experience with semantic search, embeddings, and vector databases Ability to translate business problems into GenAI solutions , not just

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