Senior Data Scientist

Job Summary:

The Senior Data Scientist is responsible for developing predictive models, advanced analytics solutions, and data driven insights that support organizational objectives. The role includes conducting data analyses is, improving data quality standards, ensuring compliance with data governance policies, and presenting insights through reports and visualizations.

Key Responsibilities:

• Develop and implement predictive models and analytical solutions.
• Conduct exploratory data analysis (EDA) and feature engineering to improve model performance.
• Analyze market trends, workforce forecasts, and related business insights.
• Present findings through reports, dashboards, and visual presentations.
• Ensure compliance with approved policies, procedures, and data governance standards.
• Design and monitor data quality standards and improvement plans.
• Monitor data quality metrics and implement proactive improvements.
• Support continuous improvement initiatives to enhance productivity and efficiency.
• Prepare data quality reports and support knowledge transfer within the organization.

Requirements:

• Bachelor’s degree in data science, Statistics, Computer Science, or a related field.
• 4–6 years of experience in Data Science, Analytics, or a related field.
• Strong knowledge of machine learning, statistical analysis, and predictive modeling.
• Proficiency in Python, SQL, and data visualization tools.
• Strong analytical and problem-solving skills.