Senior Data Scientist - Plano TX

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 18 Month(s)

Skills

Large Language Models (LLMs)
Python
Machine Learning Operations (ML Ops)
Generative Artificial Intelligence (AI)

Job Details

Title- Senior Data Scientist

Location- Plano TX (On-site)

Duration: 18 months
Job Summary:

We are seeking a highly skilled Data Scientist with a strong foundation in Python, Machine Learning, and Generative AI to join a dynamic and innovative team. The ideal candidate will bring hands-on expertise in Natural Language Processing (NLP), Large Language Models (LLMs) (especially OpenAI), and advanced data analytics platforms such as Databricks and MongoDB.

This role requires a balance of technical excellence, creativity in developing AI solutions, and practical implementation skills to build and optimize intelligent systems at scale.

Key Responsibilities:

  • Design, develop, and deploy LLM-based applications, with a focus on Generative AI and agent-based architectures.
  • Implement and fine-tune Large Language Models, preferably using OpenAI APIs, for various enterprise use cases.
  • Apply NLP techniques to extract, analyze, and interpret complex data from unstructured sources.
  • Use supervised and unsupervised machine learning methods to generate insights and predictions from large-scale datasets.
  • Build robust data pipelines and workflows using Python, Databricks, Spark, and PySpark.
  • Leverage MongoDB and other NoSQL databases for data storage, retrieval, and manipulation.
  • Evaluate model performance, especially LLM evaluation metrics, to ensure efficiency and effectiveness.
  • Collaborate with full-stack developers and data engineers for seamless integration of ML models with MongoDB, SQL, React, and API-driven platforms.
  • Stay current with advancements in AI/ML, and bring innovative solutions to enterprise data and AI services.

Required Skills and Qualifications:

  • Strong proficiency in Python for data science, automation, and ML workflows.
  • Expertise in Databricks, PySpark, and Spark for scalable data processing.
  • Solid experience in MongoDB and other modern database technologies.
  • Practical experience in Generative AI and building intelligent AI agents.
  • Hands-on knowledge of Natural Language Processing techniques and tools.
  • Proven track record of LLM tuning and customization, with a preference for OpenAI-based models.
  • Familiarity with LLM evaluation methodologies and tools (specific to one role).
  • Deep understanding of machine learning algorithms both supervised and unsupervised.
  • Excellent communication and collaboration skills for working in cross-functional teams.

Preferred Qualifications:

  • Experience in telecom, enterprise AI, or large-scale data environments.
  • Exposure to full-stack development (React, MongoDB) and API development.
  • Familiarity with MLOps practices and CI/CD for ML model deployment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.