Job Description
Job Description
Job Role: Senior Data Scientist
Job Location: Atlanta, GA (Onsite)
Job Type: Contract
Note: Notes: Need someone who has experience with Python programming, NumPy or Pandas and along with Agentic Ai development on Cloudera or Deatricks.
Job Description:
We are looking for candidates with strong Python-based data science and machine learning experience, combined with hands-on exposure to modern AI/LLM frameworks and agentic AI development on Cloudera / Databricks.
In this role, you will:
• Join Technology team to develop analytical frameworks and reliable measurement strategies for various products, services, and capabilities.
• Design, execute, and analyze complex business and user experiments
• Partner with Product partners and other Data Engineers to set the vision and develop experimentation specifically focused on Profiling Engine, Advanced Segmentation Engine and Advanced Targeting.
• Communicate key insights from analyses, experiments, and data products to stakeholders.
All About you:
- Core Data Science & Analytics Demonstrate strong expertise in data exploration, feature engineering, statistical modeling, and predictive analytics, with the ability to operationalize models in production environments.
- Have deep proficiency in Python (preferred) and/or R, with 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 data pipelines.
Machine Learning & AI Engineering:
- Possess strong experience developing, evaluating, and deploying machine learning and deep learning models across the model lifecycle.
- Experience building and deploying models using modern ML and MLOps practices, including experiment tracking, model versioning, CI/CD for ML, and monitoring.
- Familiarity with cloud-based ML platforms (AWS preferred) and distributed data processing frameworks (e.g., 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 reasoning, tool use, multi-step task execution, and autonomous decision-making.
- Familiarity with LLM application frameworks (e.g., LangChain, LlamaIndex, or similar orchestration frameworks).
- Experience with vector databases, embeddings, and semantic search for building knowledge-driven AI systems.
Agentic Coding & AI-Assisted Development:
- Strong understanding of AI-assisted software development workflows, including agent-based coding, code generation, automated debugging, and 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 business insights, communicating effectively with both technical and non-technical stakeholders.
- Strong analytical thinking with the ability to work with ambiguous or incomplete data, develop creative analytical approaches, and connect results to business outcomes.
Domain & Collaboration:
- Experience applying data science in digital marketing, customer analytics, or growth analytics is highly desirable but not mandatory.
- Comfortable collaborating with engineering, product, and business teams to build scalable data products and AI-driven solutions.
Nagendra
US IT Recruiter | TROR LLC
Ph: 615-857-6282 | Email: nregella@tror.ai
LinkedIn: https://www.linkedin.com/in/nagendra-nag-1b7665b8/
Website: https://tror.ai
Address: 401 Ronan Way, Spring Hill, TN 37174