Data Scientist or Senior Data Scientist

About NRG

NRG is a leading global insights and strategy firm at the confluence of content, culture, and technology.  We stay ahead of what’s next, providing fresh insights to spark new ideas. We’re a trusted partner to our clients, working behind the scenes to bring imagination, depth, and clarity to their biggest challenges – in entertainment, technology, lifestyle, sports, and gaming.  Together, we create with confidence.

 

We’re proud of our company’s values – these values guide us as we navigate sunny days, gray skies and everything in between:   

• Do what you love. With conviction.
• Where discovery lives. And impact drives.
• Celebrate difference. Cultivate belonging.
• Big thinking. Collectively inspired.
• Embrace the journey. Be human.

The Opportunity

We are seeking a Data Scientist or Senior Data Scientist to join our Marketing/Data Science team and help advance the cutting edge of insights across entertainment, technology, and culture. This is an opportunity to design, build, and scale AI/ML solutions that integrate GenAI innovations – like LLMs, RAG pipelines, and agentic workflows – into core research products.

 

We need someone who thrives on experimentation, communicates clearly and promptly, and can drive value independently. If you’re excited about fine-tuning foundation models, deploying performant and reliable ML solutions, and crafting experiments that answer hard questions, we want to hear from you.

Your Impact

• Design and execute advanced AI/ML models – including fine-tuned LLMs and RAG architectures – for integration into both internal tooling and external client-facing products.
• Lead experimentation efforts: clearly define hypotheses, design interpretable tests, analyze results rigorously, and communicate findings effectively.
• Serve as the technical SME for GenAI/LLM-powered tools, from foundational architecture to model optimization and deployment.
• Work with software and data engineering to productionize models and contribute to robust CI/CD pipelines with MLOps/LLMOps best practices.
• Stay current on emerging methods in AI – g., agentic workflows, memory-augmented systems, multimodal embeddings – and bring those ideas to life in real-world applications.
• Promote AI adoption internally by educating and empowering cross-functional partners while improving processes and workflows.
• Manage your time and projects effectively, ensuring clear progress updates and proactive communication with collaborators.
• Write production-grade Python code to support models, pipelines, and experimental frameworks.
• Work with the highest degree of ethics and empathy, recognizing that AI can be a potentially disruptive force for organizations and individuals

Who We're Looking For

Experience & Background:

• 5+ years in data science, ML engineering, or related analytics roles.
• Proven experience deploying machine learning models into production environments, ideally with LLMs or GenAI systems.
• Bachelor’s or higher degree in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or related field.
• Experience working with consumer data, especially within media, entertainment, or marketing research contexts is a strong plus.

AI/ML & GenAI Capabilities:

• Proficiency working with modern ML frameworks and GenAI stacks (e.g., LangChain/LlamaIndex, HuggingFace Transformers, OpenAI APIs).
• Experience building and fine-tuning models using domain-specific datasets, preferably including survey, behavioral, or audience data.
• Familiarity with retrieval-augmented generation (RAG), vector databases, and agentic/multi-step reasoning workflows (e.g., ReAct, AutoGPT, MCP frameworks).
• Comfortable implementing MLOps/LLMOps practices: version control, experiment tracking, model deployment, and monitoring.

Ways of Working:

• You lead with curiosity and methodical thinking – testing hypotheses and choosing the right tool for each challenge.
• You’re an excellent communicator who can distill technical complexity for non-technical stakeholders and clients.
• You’re organized and dependable with a track record of meeting deadlines and juggling multiple high-stakes priorities.
• You thrive in collaborative environments, contributing to a team while taking ownership of your individual workstreams.
• You take feedback as a growth opportunity and enjoy learning from others.

Position Type

This is a full-time, exempt position.

What We Offer

What We Offer

 

We embrace the current era of work and what it means to be a best-in-class employer. We understand the flexibilit