Job ID: JOB_ID_6986
Job Overview
We are seeking a highly experienced Senior Data Scientist with a strong background in Python-based data science and machine learning. The ideal candidate will have hands-on experience with modern AI/LLM frameworks and agentic AI development, preferably on Cloudera or Databricks platforms. This role is crucial for developing analytical frameworks and robust measurement strategies for various products, services, and capabilities within our Technology team.
Key Responsibilities
- Develop analytical frameworks and reliable measurement strategies for diverse products, services, and capabilities.
- Design, execute, and analyze complex business and user experiments to drive product innovation and optimization.
- Collaborate closely with Product partners and other Data Engineers to define the vision and develop experimentation strategies specifically focused on Profiling Engine, Advanced Segmentation Engine, and Advanced Targeting.
- Communicate key insights derived from analyses, experiments, and data products to various stakeholders, ensuring clear understanding and actionable outcomes.
All About You: Core Data Science & Analytics
- Demonstrate strong expertise in data exploration, feature engineering, statistical modeling, and predictive analytics.
- Possess the ability to operationalize models effectively in production environments.
- Exhibit deep proficiency in Python (preferred) and/or R, with extensive experience using modern data science libraries such as NumPy, Pandas, Scikit-learn, and PyTorch or TensorFlow.
- Be highly proficient in SQL and experienced in working with large-scale data warehouses and complex data pipelines.
Machine Learning & AI Engineering
- Possess strong experience in developing, evaluating, and deploying machine learning and deep learning models across the entire model lifecycle.
- Experience building and deploying models using modern ML and MLOps practices, including experiment tracking, model versioning, CI/CD for ML, and continuous monitoring.
- Familiarity with cloud-based ML platforms (AWS preferred) and distributed data processing frameworks like Spark.
Generative AI & Agentic Systems
- Hands-on experience with Large Language Models (LLMs) and Generative AI frameworks, including prompt engineering, retrieval-augmented generation (RAG), and model orchestration.
- Experience building AI agents or agentic workflows capable of complex reasoning, tool use, multi-step task execution, and autonomous decision-making.
- Familiarity with LLM application frameworks such as LangChain, LlamaIndex, or similar orchestration frameworks.
- Experience with vector databases, embeddings, and semantic search for constructing knowledge-driven AI systems.
Agentic Coding & AI-Assisted Development
- Strong understanding of AI-assisted software development workflows, including agent-based coding, automated code generation, debugging, and iterative evaluation loops.
- Experience integrating LLMs with APIs, internal tools, and data systems to build production-grade AI copilots or autonomous workflows.
Business Impact & Communication
- Ability to translate complex technical concepts into clear, concise business insights.
- Effective communication skills, capable of engaging with both technical and non-technical stakeholders.
- Strong analytical thinking with the ability to navigate ambiguous or incomplete data, develop creative analytical approaches, and connect findings to tangible business outcomes.
Domain & Collaboration
- Experience applying data science principles in digital marketing, customer analytics, or growth analytics is highly desirable but not mandatory.
- Comfortable collaborating effectively with engineering, product, and business teams to build scalable data products and AI-driven solutions.
Keywords
continuous integration continuous deployment artificial intelligence machine learning rl ang information technology Florida
Special Requirements
Onsite, 3 Days a Week
Compensation & Location
Salary: $120,000 – $180,000 per year (Estimated)
Location: Lake Mary, FL
Recruiter / Company – Contact Information
Email: raghavbrecruiter@gmail.com
Recruiter Notice:
To remove this job posting, please send an email from
raghavbrecruiter@gmail.com with the subject:
DELETE_JOB_ID_6986