Data Scientist Full Time

We’re looking for Data Scientists capable of using generative AI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

Key job responsibilities

As a Data Scientist, you will

• Collaborate with AI/ML scientists, engineers, and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges
• Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
• Provide customer and market feedback to Product and Engineering teams to help define product direction

Basic Qualifications

• Bachelor’s degree Or Master’s degree with several years of experience
• Several years of experience building models for business applications
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning
• Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet

Preferred Qualifications

• PhD or Masters degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
• Practical experience in solving complex problems in an applied environment
• Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX
• Prior experience in training and fine-tuning of Large Language Models (LLMs)
• Knowledge of AWS platform and tools