Data Scientist AI/ML Focus (PHD is must)

Overview

Hybrid
$70 - $80
Contract - Independent
Contract - W2
Contract - 6 Month(s)

Skills

Amazon Redshift
Amazon S3
Amazon SageMaker
Artificial Intelligence
BERT
Business Acumen
Cloud Computing
Collaboration
Computer Science
Dash Python
Data Engineering
Data Science
Decision-making
Deep Learning
Economics
Effective Communication
Machine Learning Operations (ML Ops)
Microsoft Power BI
Modeling
Natural Language Processing
Git
LangChain
Large Language Models (LLMs)
Machine Learning (ML)
PyTorch
Python
SQL
Snow Flake Schema
Soft Skills
Statistics
Mathematics
Performance Monitoring
Pivotal
Predictive Analytics
Predictive Modelling
Teamwork
TensorFlow
Training
Version Control

Job Details

Job Title: Data Scientist AI/ML Focus Worksite: Hybrid Onsite mandatory Mon-Thur Houston, TX

We are seeking a curious, proactive, and innovative Data Scientist with a strong foundation in AI/ML and Large Language Models (LLMs) to join our team. The ideal candidate has experience blending various datasets, building statistical/machine learning models, and deploying AI-driven solutions that drive business impact.
This role involves working with LLMs, natural language processing (NLP), and deep learning techniques to develop AI-powered applications. You will play a pivotal role in designing, training, and deploying scalable AI/ML models, while also translating complex data insights into actionable business strategies.

Requirements:

Technical Skills:
AI & Machine Learning: Experience in predictive modeling, NLP, deep learning, and LLM-based applications (e.g., GPT, BERT, LangChain).
Programming: Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
Data Engineering & SQL: Ability to write efficient SQL queries to blend and structure data from multiple sources for modeling and analysis.
Cloud & MLOps: Experience with AWS (SageMaker, S3, Redshift), Snowflake, and ML pipeline automation.
Version Control & Collaboration: Proficiency using Git for code versioning and teamwork.

Soft Skills:
Curious & Innovative: Passionate about solving complex business problems using data and AI.
Ownership & Initiative: Proactively drive projects from conception to deployment.
Business Acumen: Understand how AI/ML solutions impact business goals and decision-making.
Effective Communication: Ability to explain technical models and AI methodologies to non-technical audiences.

Preferred Qualifications:

Graduate degree (Master s or Ph.D.) in a quantitative field (e.g., Computer Science, Data Science, Statistics, Engineering, Mathematics, Economics). Experience with dashboarding tools (e.g., Power BI, Dash, Streamlit) for model performance monitoring. Familiarity with reinforcement learning and AI agent-based applications.

This role is ideal for a Data Scientist who wants to work at the cutting edge of AI and ML, leveraging LLMs, NLP, and predictive analytics to drive meaningful impact.

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.

About eGrove Systems Corporation