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