GenAI Data Scientist
Development & Test
MarltonNJ Contract To Hire Oct 24, 2024
100% REMOTE - GenAI Data Scientist opportunity!

Overview:

Our client, a technology product development and solutions company in the mortgage space, is seeking a Senior Data Scientist to join their existing team! This is a Contract to hire role and 100% REMOTE!

This is an opportunity to be part of an innovative team!

Job Summary:
Our client is seeking a highly innovative Data Scientist to lead the development of advanced Generative AI (GenAI) applications. This role is ideal for someone who combines analytical skills, technical expertise, and creative vision to convert complex data into actionable insights and groundbreaking AI solutions. You will be at the helm of initiatives involving Large Language Models (LLMs), Foundation Models (FMs), Retrieval-Augmented Generation (RAG) applications, and the fine-tuning of Open LLMs, crafting AI-driven solutions to real-world challenges. 
 
Key Responsibilities: 

Model Development:
  • Leverage LLMs, FMs, and other AI technologies to analyze extensive datasets, develop predictive models, and uncover key insights. 
Cross-functional Collaboration:
  • Work alongside Machine Learning Engineers, business analysts, and stakeholders, ensuring data science aligns with and accelerates our business objectives. 
Experimentation and Testing:
  • Employ an experimentation mindset with A/B testing to validate model predictions, optimize performance, and confirm AI application reliability. 
Data Processing, Analysis and Management:
  • Oversee data collection, preprocessing, and management, maintaining data integrity for model training. 
Innovative AI Solutions:
  • Keep abreast of AI, ML, and GenAI advancements to continually refine our applications and maintain our competitive edge. 
Insights and Recommendations:
  • Provide strategic, data-driven insights and recommendations to inform high-level business strategies. 
Mentorship:
  • Foster a culture of learning and innovation, sharing best practices in data science and AI with the team. 
 
Qualifications: 
 
  • Bachelor’s or master’s degree in computer science, Data Science, Statistics, or related field. 
  • Over 5 years of experience in data science, demonstrating the application of ML and AI technologies in business contexts. 
  • Deep expertise in statistical analysis, predictive modeling, and ML algorithms, especially with LLMs and FMs. 
  • Proficiency in Python or R and ML frameworks like TensorFlow or PyTorch. 
  • Extensive experience in data manipulation, analysis, and visualization with large datasets. 
  • Knowledge of cloud computing platforms, ideally AWS, and familiarity with data processing and ML services. 
  • Experience with MLOps practices, covering the entire lifecycle from model development to deployment and monitoring. 
  • Exceptional problem-solving capabilities, an innovative mindset, and the ability to excel in a fast-paced environment. 
  • Excellent communication skills, capable of translating complex data insights into clear, actionable business directives. 
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