Data Scientist (Price Elasticity/Forecasting/Retail/GCP) - Remote

Overview

As a Data Scientist at Darwoft, you will leverage your expertise in Python and predictive modeling to work on innovative projects in the retail/CPG industry, focusing on price elasticity and demand forecasting.

In Short

• Process and analyze structured and unstructured data.
• Design, build, and evaluate predictive models.
• Develop rapid prototypes to solve business challenges.
• Present complex insights using clear data visualizations.
• Collaborate with engineering and development teams.
• At least 2 years of experience in the retail/CPG industry.
• Education in Data Science, Statistics, or related fields.
• Experience with Python, SQL, and data analysis techniques.
• Familiarity with ML frameworks and big data processing.
• Opportunities for professional growth and development.

Requirements

• Bachelor's degree or higher in Data Science or related fields.
• Experience in pricing models and demand forecasting.
• Advanced programming skills in Python and SQL.
• Ability to create prototypes and conduct QA.
• Strong data visualization and storytelling skills.
• Familiarity with ML frameworks like PyTorch and TensorFlow.
• Experience with big data processing tools.
• Knowledge of CI/CD and testing methodologies.

Benefits

• Work on challenging international projects.
• Collaborate with highly skilled colleagues.
• Supportive and dynamic work environment.
• Opportunities for learning and development.
• Passion for innovation and impact.