Data Scientist

About the role

We are seeking a Data Scientist with strong expertise in Machine Learning (ML) and Generative AI (LLMs) to design, develop, and deploy intelligent, data-driven solutions within a modern cloud environment.

Responsibilities

• Design, develop, and deploy machine learning and generative AI models to address complex business challenges and enhance decision-making.
• Implement Retrieval-Augmented Generation (RAG) and semantic search pipelines that integrate large language models with enterprise data sources.
• Apply prompt engineering, embedding techniques, and model fine-tuning using frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers.
• Collaborate with engineering teams to ensure scalable data ingestion, ETL/ELT workflows, and model deployment across cloud environments.
• Communicate technical insights and analytical results clearly to both technical and non-technical audiences.
• Contribute to Agile development processes and maintain code through Git/GitHub, CI/CD automation, and infrastructure-as-code (CloudFormation or equivalent).

Qualifications

• Preferred Qualifications:
  • 2+ years of hands-on experience with Large Language Models (LLMs) or Generative AI, such as GPT, Claude, Llama, or Mistral.
  • Proficiency in Python and key libraries including pandas, NumPy, scikit-learn, PyTorch, and TensorFlow.
  • Experience implementing RAG architectures, vector databases (e.g., Pinecone, FAISS, Weaviate), or LLM orchestration frameworks (e.g., LangChain, Semantic Kernel, CrewAI, LangGraph).
  • Practical experience working with AWS services (SageMaker, Lambda, S3, RDS, etc.).
  • Strong foundation in statistics, linear algebra, and optimization for model design and evaluation.
  • Experience creating insightful data visualizations using Tableau, Power BI, Plotly, or matplotlib.
  • Familiarity with big data technologies such as Spark, Databricks, or Snowflake.
  • Deep understanding of machine learning algorithms, data preprocessing, and model evaluation techniques.
  • Strong problem-solving abilities with a focus on reproducibility, scalability, and model governance.
  • Excellent communication skills, with the ability to translate complex analytical findings into actionable business insights.
  • Demonstrated curiosity and enthusiasm for staying current with advances in AI, Generative AI, and ML infrastructure.
  • Proven ability to work effectively in Agile and cross-functional team environments.

Nice to Have

• Experience with multi-agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen).
• 2+ years of experience in applied data science or machine learning.
• At least 1 year of direct, hands-on experience developing or deploying LLMs or Generative AI systems.
• Demonstrated experience with working with MLOps engineers to deploying, monitoring, and maintaining production ML models using cloud platforms.
• Knowledge of energy market data, time-series forecasting, or optimization modeling.
• Familiarity with reinforcement learning, probabilistic modeling, or stochastic optimization techniques.

Benefits

NextEra Energy offers a wide range of benefits to support our employees and their eligible family members. Click here to learn more.

Equal Opportunity Employer

NextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law.

Relocation Information

Relocation provided: No

NextEra Energy

NextEra Energy offers a wide range of benefits to support our employees and their eligible family members. Click here to learn more.