Senior Data Scientist - Miami, FL

Job Title:

Senior Data Scientist (GenAI )

Location:

Miami, FL/ Atlanta, GA/ Huntsville, AL/ Columbia, SC/ Charlotte, NC. Can do Only W2, No C2

C Job Summary:

We are seeking an experienced Senior Data Scientist with deep expertise in Generative AI, Machine Learning, Statistical Modeling, and MLOps. The ideal candidate will have a proven track record of leading AI initiatives, developing scalable machine learning solutions, and delivering measurable business outcomes through data-driven decision-making. This role requires strong technical expertise in LLMs, Retrieval-Augmented Generation (RAG), predictive analytics, cloud platforms, and advanced statistical methodologies.

Key Responsibilities:

Lead the design, development, and deployment of Generative AI and Machine Learning solutions. Build and optimize Large Language Model (LLM) applications using RAG frameworks. Develop scalable AI solutions leveraging LangChain and LlamaIndex. Design and implement predictive models for Churn Analysis, Customer Lifetime Value (CLV), and Propensity Modeling. Perform advanced statistical analysis to identify business insights and optimization opportunities. Develop and maintain ML pipelines using cloud-native and MLOps best practices. Work with large-scale datasets using SQL, PySpark, and Databricks. Collaborate with business stakeholders to translate requirements into AI-driven solutions. Conduct Design of Experiments (DOE) and Statistical Process Control (SPC) analysis. Drive continuous improvement initiatives using Six Sigma and Lean methodologies. Monitor, evaluate, and improve model performance and scalability.

Required Skills:

Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) LangChain LlamaIndex Python PyTorch Scikit-learn SQL PySpark Databricks AWS Azure MLOps Predictive Modeling Churn Modeling Customer Lifetime Value (CLV) Modeling Propensity Modeling Statistical Analysis Design of Experiments (DOE) Statistical Process Control (SPC)

Six Sigma Black Belt Lean Six Sigma Preferred Qualifications:

Experience leading enterprise AI and Machine Learning initiatives. Experience deploying and managing production-grade LLM applications. Strong understanding of AI architecture, model governance, and responsible AI practices. Experience with cloud-native data and AI platforms. Advanced knowledge of machine learning model deployment and monitoring. Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field preferred. Six Sigma Black Belt Certification preferred.

Soft Skills:

Strong analytical and critical thinking abilities. Excellent problem-solving and decision-making skills. Strong communication and presentation skills. Ability to explain complex technical concepts to business stakeholders. Leadership and mentoring capabilities. Strong collaboration and stakeholder management skills. Ability to work independently in a fast-paced environment.

Mandatory Skills:

Generative AI LLMs (Large Language Models) RAG (Retrieval-Augmented Generation) LangChain LlamaIndex Python PyTorch Scikit-learn SQL PySpark Databricks AWS / Azure MLOps Predictive Modeling Churn Modeling Customer Lifetime Value (CLV) Propensity Modeling Statistical Analysis DOE (Design of Experiments) SPC (Statistical Process Control) Six Sigma Black Belt /

Lean Six Sigma Best Regards:

Tina Phone:

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