Job Descriptions:
Responsibilities:
- Perform complex data analysis and statistical modeling.
- Develop and optimize machine learning models.
- Lead data science projects from conception to deployment.
- Collaborate with business leaders to identify data-driven opportunities.
- Mentor and guide junior data scientists and analysts.
- Create compelling data visualizations and present findings to stakeholders.
- Ensure data quality, integrity, and accessibility.
- Stay current with advancements in data science and AI.
Required Qualifications:
- Bachelor's in Data Science, Statistics, Computer Science, or a related field.
- 5+ years of experience in data science or a related field.
- 3+ years of experience in understanding business problems and formulating AI solutions.
- 3+ years of experience in one of the scripting languages, such as Java, Python, R, or SQL.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
- Experience developing and deploying models in one of the cloud environments, such as AWS, Azure, or GCP.
- Strong expertise in statistical analysis and feature engineering techniques.
- Proven experience in building fraud detection systems using advanced machine learning models.
- Hands-on experience using co-pilot assistants (e.g., GitHub Copilot, OpenAI tools) to accelerate feature delivery and streamline development workflows.
- Ability to initiate and drive projects from start to completion with minimal guidance.
- Ability to communicate the results of analysis in a clear and effective manner.