Data Scientist

Role Overview

As a Data Scientist, you will leverage strong ML model experience in complex data environments to achieve business objectives in innovative and efficient ways. You will utilize a solid background in mathematics and statistics to inform model development and evaluation, designing and architecting robust machine learning solutions with a focus on integrating Large Language Models (LLMs).

Responsibilities

• Design, architect, and develop robust machine learning solutions, focusing on LLM integration.
• Collaborate within Agile Scrum teams for iterative development.
• Document business processes, workflows, and requirements.
• Engage with various domains to ensure alignment with business needs.
• Build end-to-end machine learning models, including data structures and transformation processes.
• Mentor junior team members on best practices in machine learning and LLM implementation.

Requirements

• Proficiency in Python, Machine Learning, REST API, and SQL.
• Experience with data processing, cleansing, and verification.
• Strong understanding of statistical modeling techniques like Regression, Clustering, and Decision Trees.
• Familiarity with algorithms such as KNN, Random Forests, and Ensemble Methods.
• Knowledge of data mining and data visualization tools.

Nice to Have

• Experience with LLMs such as GPT or BERT.
• Understanding of Natural Language Processing (NLP) techniques.
• Familiarity with Deep Learning and forecasting.
• Ability to automate analytical processes using LLM capabilities.

Skills

• Python
• Machine Learning
• REST API
• SQL
• LLMs