New Jersey, United States, United States
July 2, 2024
Apply NowJob description
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
- 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
- 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
