Description
You will design and implement data models, ETL processes, and machine learning solutions to drive business decisions.
Responsibilities
- Design and implement ETL processes to extract, transform, and load data from various sources.
- Develop and maintain machine learning models to identify patterns and trends in large datasets.
- Monitor and improve the performance of existing models and data pipelines.
- Communicate complex data findings and insights to non-technical stakeholders.
- Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.
Required Skills
- 4+ years of experience in data science or analytics roles.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Strong proficiency in SQL and experience with data warehousing.
- Experience with programming languages such as Python, R, or Java.
- Familiarity with machine learning tools and libraries such as TensorFlow, Keras, or scikit-learn.
- Proficiency in cloud-based data platforms such as AWS, Azure, or Google Cloud.
- Knowledge of data modeling and database design principles.
Preferred Skills
- Experience with AWS SageMaker and AzureML Studio.
- Experience with data visualization tools such as Tableau or Power BI.
Education
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field