Senior Principal Data Scientist
The NielsenIQ Strategic Analytics and Insights team builds and scales globally deployed analytics and AI products that power decisionmaking for retailers and manufacturers worldwide. Leveraging industryleading data assets and modern cloud platforms we design alwayson productiongrade AI systems embedded directly into clientfacing and internal products.
We are hiring a Principal Data Scientist with deep expertise in Machine Learning Generative AI and Agentic AI systems. This is a senior handson technical role for an experienced AI practitioner who has designed built and deployed LLMpowered systems in production not just experimented with them.
In this role you will work closely with Product Engineering and Platform teams to take ideas from concept through deployment while influencing AI architecture standards and best practices across the organization.
Lead Advanced AI & Generative AI Solutions
- Design develop and deploy advanced AI/ML systems with a strong focus on Generative AI and Agentic AI (e.g. LLMbased reasoning planning tool use and orchestration).
- Architect and implement LLMpowered applications including prompt engineering retrievalaugmented generation (RAG) finetuning and evaluation frameworks.
- Design agentic workflows that combine models tools memory and business logic to solve complex multistep analytical and decisionmaking problems.
- Translate ambiguous business and product challenges into scalable AI system designs selecting the right modeling and GenAI approaches.
Build From Prototype to Production
- Rapidly prototype and validate new AI capabilities then partner with Engineering to deliver secure reliable productiongrade systems.
- Define and uphold standards for model quality performance monitoring and lifecycle management across ML and GenAI solutions.
- Ensure AI systems meet enterprise expectations for governance explainability robustness and responsible AI use.
Influence and Collaborate Across Teams
- Act as a technical leader and trusted advisor across Data Science Product Engineering and Platform teams.
- Clearly communicate complex technical concepts tradeoffs and recommendations to both technical and nontechnical stakeholders.
- Drive initiatives endtoend aligning across multiple teams and managing dependencies in a fastmoving environment.
Mentor and Shape Technical Excellence
- Mentor and guide other data scientists promoting best practices in ML GenAI system design and software engineering.
- Stay current with advances in LLMs multimodal models agent frameworks optimization techniques and cloudnative AI architectures and help translate them into practical highimpact solutions.
Qualifications :
Experience & Expertise
- Masters or PhD in Data Science Computer Science Machine Learning Statistics Mathematics or a related field.
- 10 years of experience building and deploying ML and AI systems in production environments.
- Recent handson experience with Generative AI and LLMbased applications including:
- Prompt engineering and systematic evaluation
- Retrievalaugmented generation (RAG)
- Model finetuning or adaptation techniques
- Agentic or multiagent system architectures
- Strong foundation in classical machine learning and statistical modeling with good judgment about when GenAI is (and is not) the right solution.
- Experience with optimization techniques (e.g. linear or integer programming constrained optimization) is a plus.
Engineering & Platform Skills
- Advanced proficiency in Python with experience using SQL and PySpark in cloud analytics environments.
- Handson experience deploying AI systems on cloud platforms (e.g. Azure GCP or equivalent) including MLOps and LLMOps practices.
- Familiarity with Gitbased workflows CI/CD pipelines and Agile development.
Business Context & Communication
- Experience working with largescale transactional or behavioral datasets (retail CPG FMCG or similar domains is a plus).
- Excellent problemsolving and communication skills with the ability to operate independently at a Principal level and influence senior stakeholders.
Why Join NielsenIQ
- Build real production AI systems used by global clientsnot just experiments or demos.
- Shape how Generative and Agentic AI are applied responsibly at enterprise scale.
- Influence longterm AI architecture and standards across a global analytics organization.
- Work on complex highimpact business problems with talented peers across data science engineering and product.
Additional Information :
Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process including résumé screening candidate assessments interview scheduling job matching communication support and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQs principles of fairness transparency human oversight and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions require accommodations or wish to request human review were permitted by law please contact your local HR representative. For more information please visit NIQs AI Safety Policies and Guiding Principles: NIQ
NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 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 insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.
For more information visit
Want to keep up with our latest updates
Follow us on: LinkedIn Instagram Twitter Facebook
Our commitment to Diversity Equity and Inclusion
At NIQ we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race color religion sex (including pregnancy sexual orientation or gender identity) national origin age disability genetic information marital status veteran status or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion please visit the Work :
No
Employment Type :
Full-time
Senior Principal Data ScientistThe NielsenIQ Strategic Analytics and Insights team builds and scales globally deployed analytics and AI products that power decisionmaking for retailers and manufacturers worldwide. Leveraging industryleading data assets and modern cloud platforms we design alwayson p...
Senior Principal Data Scientist
The NielsenIQ Strategic Analytics and Insights team builds and scales globally deployed analytics and AI products that power decisionmaking for retailers and manufacturers worldwide. Leveraging industryleading data assets and modern cloud platforms we design alwayson productiongrade AI systems embedded directly into clientfacing and internal products.
We are hiring a Principal Data Scientist with deep expertise in Machine Learning Generative AI and Agentic AI systems. This is a senior handson technical role for an experienced AI practitioner who has designed built and deployed LLMpowered systems in production not just experimented with them.
In this role you will work closely with Product Engineering and Platform teams to take ideas from concept through deployment while influencing AI architecture standards and best practices across the organization.
Lead Advanced AI & Generative AI Solutions
- Design develop and deploy advanced AI/ML systems with a strong focus on Generative AI and Agentic AI (e.g. LLMbased reasoning planning tool use and orchestration).
- Architect and implement LLMpowered applications including prompt engineering retrievalaugmented generation (RAG) finetuning and evaluation frameworks.
- Design agentic workflows that combine models tools memory and business logic to solve complex multistep analytical and decisionmaking problems.
- Translate ambiguous business and product challenges into scalable AI system designs selecting the right modeling and GenAI approaches.
Build From Prototype to Production
- Rapidly prototype and validate new AI capabilities then partner with Engineering to deliver secure reliable productiongrade systems.
- Define and uphold standards for model quality performance monitoring and lifecycle management across ML and GenAI solutions.
- Ensure AI systems meet enterprise expectations for governance explainability robustness and responsible AI use.
Influence and Collaborate Across Teams
- Act as a technical leader and trusted advisor across Data Science Product Engineering and Platform teams.
- Clearly communicate complex technical concepts tradeoffs and recommendations to both technical and nontechnical stakeholders.
- Drive initiatives endtoend aligning across multiple teams and managing dependencies in a fastmoving environment.
Mentor and Shape Technical Excellence
- Mentor and guide other data scientists promoting best practices in ML GenAI system design and software engineering.
- Stay current with advances in LLMs multimodal models agent frameworks optimization techniques and cloudnative AI architectures and help translate them into practical highimpact solutions.
Qualifications :
Experience & Expertise
- Masters or PhD in Data Science Computer Science Machine Learning Statistics Mathematics or a related field.
- 10 years of experience building and deploying ML and AI systems in production environments.
- Recent handson experience with Generative AI and LLMbased applications including:
- Prompt engineering and systematic evaluation
- Retrievalaugmented generation (RAG)
- Model finetuning or adaptation techniques
- Agentic or multiagent system architectures
- Strong foundation in classical machine learning and statistical modeling with good judgment about when GenAI is (and is not) the right solution.
- Experience with optimization techniques (e.g. linear or integer programming constrained optimization) is a plus.
Engineering & Platform Skills
- Advanced proficiency in Python with experience using SQL and PySpark in cloud analytics environments.
- Handson experience deploying AI systems on cloud platforms (e.g. Azure GCP or equivalent) including MLOps and LLMOps practices.
- Familiarity with Gitbased workflows CI/CD pipelines and Agile development.
Business Context & Communication
- Experience working with largescale transactional or behavioral datasets (retail CPG FMCG or similar domains is a plus).
- Excellent problemsolving and communication skills with the ability to operate independently at a Principal level and influence senior stakeholders.
Why Join NielsenIQ
- Build real production AI systems used by global clientsnot just experiments or demos.
- Shape how Generative and Agentic AI are applied responsibly at enterprise scale.
- Influence longterm AI architecture and standards across a global analytics organization.
- Work on complex highimpact business problems with talented peers across data science engineering and product.
Additional Information :
Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process including résumé screening candidate assessments interview scheduling job matching communication support and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQs principles of fairness transparency human oversight and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions require accommodations or wish to request human review were permitted by law please contact your local HR representative. For more information please visit NIQs AI Safety Policies and Guiding Principles: NIQ
NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 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 insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.
For more information visit
Want to keep up with our latest updates
Follow us on: LinkedIn Instagram Twitter Facebook
Our commitment to Diversity Equity and Inclusion
At NIQ we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race color religion sex (including pregnancy sexual orientation or gender identity) national origin age disability genetic information marital status veteran status or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion please visit the Work :
No
Employment Type :
Full-time
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