Sr Data Scientist with Strong Python

TieTalent; San Jose (CA); Remote; USD 120,000 - 160,000; Full time

Job summary

A leading company is seeking a Sr Data Scientist specialized in Python and NLP. This role involves building data pipelines and optimizing NLP models using advanced AI techniques. The ideal candidate will have substantial experience in data science and excellent collaboration skills, working within cross-functional teams on innovative projects. Responsibilities include driving improvements in model performance and leveraging cloud technologies.

Qualifications

• 5-10 years of professional experience in Python, NLP, AI, or Data Science roles.
• Experience with cloud computing platforms such as Azure, AWS, GCP.
• Excellent communication skills for cross-functional collaboration.

Responsibilities

• Build and optimize data pipelines and NLP models.
• Analyze large-scale datasets and derive insights.
• Collaborate with cross-functional teams on AI projects.

Skills

Python

NLP

AI

Data Science

SQL

Cloud Computing

Data Preprocessing Techniques

Prompt Engineering

Containerized Deployment

Version Control

Education

Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field

Tools

TensorFlow

PyTorch

Git

Docker

Kubernetes

Job description

Role: Sr Data Scientist with Strong Python
Location: Seattle/Dallas/Kansas preferred (Remote also considered)
JD:

• Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
• 5-10 years of professional experience in Python , NLP, AI, or Data Science roles.
• Experience in building Data pipelines knowledge, SQL, Time series DB knowledge (Prometheus, Influx, Open search etc.)
• Strong understanding of text classification, information extraction, document understanding, and sequence labeling .
• Hands-on experience with Hugging Face Transformers, BERT, GPT, and other modern NLP models .
• Proficiency in Python, TensorFlow, PyTorch , and relevant NLP libraries.
• Solid experience in NLP data preprocessing techniques , including tokenization, lemmatization, and vectorization.
• Expertise in prompt engineering techniques for improving LLM performance .
• Familiarity with Agentic AI concepts , enabling AI agents to make independent decisions in complex workflows.
• Strong knowledge of cloud computing platforms (Azure OpenAI, AWS, GCP) and containerized deployment (Docker, Kubernetes) .
• Experience with version control (Git), CI/CD, and software engineering best practices .
• Ability to analyze large-scale datasets , derive insights, and optimize NLP model performance .
• Excellent communication skills and ability to collaborate with cross-functional teams .