Data Science Manager

About the job

Role Overview: As a Data Science Manager, your primary responsibility will be to lead and manage various data science initiatives within the company. You will play a crucial role in analyzing data, creating data visualizations, developing machine learning models, and ensuring the efficiency of ETL processes. Your expertise in Python programming, data manipulation, and predictive modeling will be key to driving insightful decision-making and problem-solving. Key Responsibilities: - Data Analysis and Exploration: - Conduct thorough data analysis to uncover actionable insights and trends. - Collaborate with cross-functional teams to define data requirements and extract relevant data. - Data Visualization: - Create visually compelling and informative data visualizations using tools like Tableau, Power BI, or Python libraries. - Develop interactive dashboards to present insights in an accessible and understandable manner. - Machine Learning and Predictive Modeling: - Build, validate, and deploy machine learning models to solve business problems and predict outcomes. - Optimize and fine-tune models for accuracy and efficiency. - Python Programming: - Develop and maintain Python scripts and applications for data analysis and modeling. - Write clean, efficient, and well-documented code for data manipulation and analytics. - ETL Pipeline Creation: - Design and implement ETL pipelines to extract, transform, and load data from various sources into data warehouses. - Ensure data quality, consistency, and accuracy within ETL processes. - Enforce data governance best practices to maintain data quality, security, and compliance with industry regulations. Qualification Required: We are looking for a candidate with proven experience in data science, data analysis, and predictive modeling. Proficiency in Python programming, data manipulation, and relevant libraries is a must. Strong familiarity with data visualization tools like Power BI and knowledge of ETL processes and pipeline creation are essential. Additionally, expertise in machine learning techniques and frameworks, along with strong problem-solving skills and attention to detail, are required. Excellent communication and teamwork abilities will be crucial for success in this role.

Requirements

• Data Science
• Data Analysis
• Machine Learning
• Python
• Data Visualization
• ETL Processes

Preferred Technologies

• Data Science
• Data Analysis
• Machine Learning
• Python
• Data Visualization
• ETL Processes