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. 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.