Data Scientist

Essential Duties/Responsibilities:
• Understanding of machine learning and deep learning models to select and implement for prediction, classification, and clustering projects
• Apply machine learning or reinforcement learning to optimize marketing efforts with respect to customer acquisition, retention, pricing, cross-selling, operations and trading
• Passion to learn latest AI techniques and explore applications for large language models
• Understanding of the business context of projects and able to identify areas where models will be less predictive or have caveats to their predictive powers
• Ability to translate complex business issues into achievable analytical learning objectives and actionable analytic projects
• Ability to communicate and establish good relations with multi-disciplinary teams
• Proficiency with Python, including pandas, scikit-learn
• Experience in Spark or Pyspark
Minimum Requirements:
• Bachelor’s degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research required.
• 2+ years of experience in statistical modeling and quantitative analysis in industry or full-time academic research
Preferred Qualifications:
• Advanced Degree (MS or PhD) in Statistics, Mathematics or Quantitative Marketing with a focus on machine learning is strongly preferred.
• Additional Knowledge, Skills and Abilities:
o Experience with Databricks
o Experience with AWS SageMaker
o Experience with Azure AI Studio
o Retail electricity or gas experience
o Comfortable working in Linux
o Experience with Git
o Experience with Docker containers
o Ability to learn and apply new quantitative techniques quickly and appropriately
o Ability to interpret and communicate complex analytics results
o Ability to identify practical business implications
o Good communication skills
o Keen attention to detail
o Think critically about analyses to ensure the conclusions make sense before sharing