Senior Data Scientist

About Us

About DATAECONOMY: We are a fast-growing data & analytics company headquartered in Dublin with offices inDublin, OH, Providence, RI, and an advanced technology center in Hyderabad,India. We are clearly differentiated in the data & analytics space via our suite of solutions, accelerators, frameworks, and thought leadership.

Job Description

Job Description:

We are looking for a highly skilled Senior Data Scientist with 3–9 years of experience specializing in Python, Large Language Models (LLMs), NLP, Machine Learning, and Generative AI. The ideal candidate will have a deep understanding of building intelligent systems using modern AI frameworks and deploying them into scalable, production-grade environments. You will work closely with cross-functional teams to build innovative AI solutions that deliver real business value.

Responsibilities

• Design, develop, and deploy ML/NLP solutions using Python and state-of-the-art AI frameworks.
• Apply LLMs and Generative AI techniques to solve real-world problems.
• Build, train, fine-tune, and evaluate models for NLP and GenAI tasks.
• Collaborate with data engineers, MLOps, and product teams to operationalize models.
• Contribute to the development of scalable AI services and applications.
• Analyze large datasets to extract insights and support model development.
• Maintain clean, modular, and version-controlled code using Git.
  
  

Requirements

Must-Have Skills:

• 3–10 years of hands-on experience with Python for data science and ML applications.
• Strong expertise in Machine Learning algorithms and model development.
• Proficient in Natural Language Processing (NLP) and text analytics.
• Experience with Large Language Models (LLMs) and Generative AI frameworks (e.g., LangChain, Hugging Face Transformers).
• Familiarity with model deployment and real-world application integration.
• Experience with version control systems like Git.
  
  

Good To Have

• Experience with PySpark for distributed data processing.
• Exposure to MLOps practices and model lifecycle management.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Knowledge of vector databases (e.g., FAISS, Pinecone) and embeddings.
  
  

Educational Qualification

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
  
  

Benefits

• Work with cutting-edge technologies in a collaborative and forward-thinking environment.
• Opportunities for continuous learning, skill development, and career growth.
• Exposure to high-impact projects in AI and data science.