Job Description

Job Summary: We are seeking a detail-oriented and analytical Senior IT Engineer - Data Scientist to join our team. In this role, you will leverage data-driven insights to support decision-making, optimize business processes, and enhance operational efficiency. You will be responsible for collecting, analyzing, and interpreting large datasets, building predictive models, and presenting findings to stakeholders. Roles and Responsibilities 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.