What are the responsibilities and job description for the Senior Data Scientist - Miami, FL position at TechniPros, LLC?
Job Title: Senior Data Scientist (GenAI )
Location: Miami, FL/ Atlanta, GA/ Huntsville, AL/ Columbia, SC/ Charlotte, NC.
Can do Only W2, No C2C
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
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