Data Scientist(m/w/x)

Description

In this role, you will design and implement cutting-edge AI solutions to enhance pricing strategies, collaborate with cross-functional teams, and present insights to senior stakeholders, all while driving AI transformation within the organization.

Requirements

• •Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or Engineering
• •Extensive experience in time series forecasting using machine learning (XGBoost, LightGBM), deep learning frameworks (e.g., NeuralForecast, N-BEATS), and zero shot models
• •Strong programming skills in Python with deep knowledge of core scientific libraries
• •Exposure to optimization techniques for resource allocation and inventory management
• •Skilled in evaluating forecasting models using robust techniques
• •Proficient in writing efficient SQL queries to extract, join, and transform data
• •Experienced in using Git and GitHub for source control and collaborative model development
• •Hands-on experience with cloud environments including AWS or Azure for scalable data processing and model deployment

Tasks

• •Develop and maintain next-generation forecasting models
• •Optimize AI models for performance, scalability, and accuracy
• •Collaborate with data and cloud engineers, architects, DevOps, and product owners
• •Present findings and recommendations to senior stakeholders
• •Embed AI capabilities and build trust within the business community
• •Act as an organizational change agent for AI transformation
• •Stay updated on advancements in AI and machine learning

Tools & Technologies

Benefits