Senior IT Engineer - Data Scientist

Key Responsibilities:
- Collect, clean, and preprocess data from multiple sources to ensure accuracy and reliability.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Develop and implement predictive models and machine learning algorithms to solve business problems.
- Utilize statistical methods and data visualization tools to communicate findings effectively.
- Collaborate with cross-functional teams, including business, engineering, and product teams, to drive data-driven decision-making.
- Build and maintain dashboards and reports to monitor key performance indicators (KPIs).
- Perform A/B testing and other experimental analysis to optimize strategies.
- Stay up to date with industry trends, emerging technologies, and best practices in data science.

Required Qualifications & Skills:
- Bachelor’s or master’s degree in data science, Statistics, Computer Science, Mathematics, or a related field.
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with AWS SageMaker, Jupyter Notebooks
- Experience with data visualization tools like AWS QuickSight, Tableau, Power BI, or Matplotlib.
- Strong understanding of statistical analysis, hypothesis testing, and machine learning techniques.
- Familiarity with big data technologies and cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.
- Ability to translate complex data into actionable business insights.
- Strong problem-solving skills and attention to detail.
- Excellent communication and presentation skills.

Preferred Qualifications:
- 7+ years of experience
- Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) is beneficial.
- Exposure to data engineering concepts, including ETL processes and database management.