Data Scientist

We are seeking a detail-oriented and analytical Data Science Analyst 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