Data Science Manager

GreenCell Mobility is looking for a talented and self-motivated Data Science and Analytics Individual Contributor to join our Vehicle Technology team. This role is perfect for a highly skilled professional who excels in data science, data visualization, Python programming, and creating ETL (Extract, Transform, Load) data pipelines. You'll play a pivotal role in shaping our data-driven decision-making processes and contributing to the company's success.

Key Responsibilities:

• Data Analysis and Exploration: Conduct thorough data analysis to uncover actionable insights and trends. You'll also 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 (e.g., Matplotlib, Seaborn). You'll also develop interactive dashboards to present insights in an accessible and understandable way.
• Machine Learning and Predictive Modeling: Build, validate, and deploy machine learning models to solve business problems and predict outcomes. You'll also optimize and fine-tune models for accuracy and efficiency.
• Python Programming: Develop and maintain Python scripts and applications for data analysis and modeling. You'll 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. You'll ensure data quality, consistency, and accuracy within ETL processes.
• Data Governance: Enforce data governance best practices to maintain data quality, security, and compliance with industry regulations.
• Collaboration and Communication: Work closely with cross-functional teams to understand business requirements and provide data-driven solutions. You'll effectively communicate findings and insights to both technical and non-technical stakeholders. You'll also collaborate with IT and Data Engineering teams to optimize data storage and access.

Preferred Candidate Profile:

• Proven experience in data science, data analysis, and predictive modeling.
• Proficiency in Python programming, data manipulation, and relevant libraries.
• Strong experience with data visualization tools (Power BI preferred).
• Knowledge of ETL processes and pipeline creation.
• Familiarity with machine learning techniques and frameworks.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
• Experience with SQL and database management.
• Knowledge of CANBus protocol is a plus.