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 crossselling 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 multidisciplinary teams
• Proficiency with Python including pandas scikitlearn
• Experience in Spark or Pyspark

Minimum Requirements:

• Bachelors 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 fulltime
• 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:
• Experience with Databricks
• Experience with AWS SageMaker
• Experience with Azure AI Studio
• Retail electricity or gas experience
• Comfortable working in Linux
• Experience with Git
• Experience with Docker containers
• Ability to learn and apply new quantitative techniques quickly and appropriately
• Ability to interpret and communicate complex analytics results