Lead Data Scientist

About Signify

Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond.

At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career.

Join us, and together, we’ll transform our industry, making a lasting difference for brighter lives and a better world. 

More about the role

Job Summary

We are looking for a Lead Data Scientist with 4+ years of experience to lead data science, Generative AI, and Agentic AI initiatives. The candidate will design and build AI-driven solutions using LLMs, RAG, AI agents, machine learning, and advanced analytics. This role requires strong hands-on technical skills, business problem-solving ability, and experience guiding junior team members.

Key Areas of Responsibility

• Design, build, and optimize LLM-based applications using techniques such as prompt engineering, RAG, embeddings, vector search, and AI agents.
• Develop and evaluate machine learning models for use cases such as prediction, classification, forecasting, recommendation, anomaly detection, NLP, and optimization
• Work with structured and unstructured data to extract insights, build features, and create AI-ready data pipelines.
• Evaluate GenAI and Agentic AI outputs for accuracy, relevance, hallucination risk, safety, bias, latency, and business usefulness
• Leverage AI-assisted coding tools such as Codex, GitHub Copilot, ChatGPT, Cursor, or similar tools for faster coding, experimentation, debugging, and documentation
• Communicate technical findings, model performance, risks, and recommendations clearly to stakeholders

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Statistics, Mathematics, Engineering, or a related field.
• Minimum 4+ years of hands-on experience in data science, machine learning, AI, analytics, or related roles.
• Strong programming skills in Python and strong working knowledge of SQL.
• Hands-on experience with data science libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, or similar.
• Strong understanding of machine learning algorithms, model evaluation, feature engineering, experimentation, and statistical analysis.
• Practical experience with Generative AI concepts, including LLMs, prompt engineering, embeddings, RAG, vector databases, and model evaluation.
• Understanding of Agentic AI concepts, including tool calling, planning, memory, orchestration, multi-agent workflows, and guardrails.
• Experience working with APIs and integrating AI/ML models into applications, workflows, or business systems.
• Ability to understand, validate, debug, and improve outputs generated by GenAI tools.

Good to have skills:

• Experience with LLM frameworks such as LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar
• Familiarity with MLOps and LLMOps practices including model monitoring, prompt versioning, evaluation pipelines, CI/CD, and observability

Everything we’ll do for you

You can grow a lasting career here. We’ll encourage you, support you, and challenge you. We’ll help you learn and progress in a way that’s right for you, with coaching and mentoring along the way. We’ll listen to you too, because we see and value every one of our 27,000+ people. We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas. With a global workforce present in 70+ countries, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together. 

Come join us, and together we can light up the future.