Zeta Global seeks to leverage advanced analytics to solve complex problems and drive data-driven decision-making processes.
Requirements
- Expertise in statistics, machine learning, and data analysis
- Proficiency in Python, R, or Java & libraries and frameworks (e.g., TensorFlow, scikit-learn, PyTorch)
- Knowledge of data manipulation and transformation techniques, including SQL, Pandas, or Spark
- Experience with personalization, ad-tech, or mar-tech
Responsibilities
- Work closely with cross-functional teams to identify and collect relevant data sources
- Clean, preprocess, and organize large datasets for analysis
- Conduct exploratory data analysis to uncover patterns and insights
- Develop and deploy predictive models using machine learning algorithms
- Perform statistical analysis and hypothesis testing to validate findings
- Deploy and integrate machine learning models into production environments
- Monitor model performance and implement necessary adjustments
Other
- Bachelor’s degree in Computer Science or Computer Engineering plus 1 year of experience in job offered or as Applied Scientist II
- Option to telecommute three days a week
