Description
You will use data-driven insights to optimize business processes and support decision-making through predictive modeling and statistical analysis.
Responsibilities
- Collect, clean, and preprocess data from multiple sources to ensure accuracy.
- Conduct exploratory data analysis to identify trends and patterns.
- Develop and implement predictive models and machine learning algorithms.
- Build and maintain dashboards and reports to monitor key performance indicators.
- Perform A/B testing and experimental analysis to optimize strategies.
Required Skills
- 9+ years of professional experience in data science.
- Proficiency in Python and SQL.
- Experience with AWS, Google Cloud, or Azure.
- Hands-on experience with AWS QuickSight, Tableau, or Power BI.
- Strong understanding of statistical analysis and hypothesis testing.
- Ability to translate complex data into actionable business insights.
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
Preferred Skills
- Knowledge of deep learning frameworks such as TensorFlow or PyTorch.
- Exposure to data engineering concepts, including ETL processes and database management.