Description

You will apply data science techniques to analyze complex datasets and generate actionable business insights. You own the end-to-end analytical workflow, from data exploration and cleaning to model validation and stakeholder communication.

Responsibilities

• Perform data exploration, preparation, and validation to ensure analysis reliability.
• Build and validate analytical models for forecasting and optimization use cases.
• Translate analytical findings into clear, actionable recommendations for stakeholders.
• Collaborate with cross-functional teams to define data-driven objectives and measure impact.
• Maintain proper documentation of analysis methodologies and outcomes for reproducibility.

Required Skills

• Strong experience in data science techniques, including statistical modeling and predictive analytics.
• Proficiency in Python for data analysis and implementation of data science workflows.
• Ability to explore complex datasets to identify patterns and derive insights.
• Good understanding of data preparation, cleaning, and quality validation processes.
• Experience in building and validating models specifically for forecasting and optimization.
• Strong problem-solving and analytical thinking skills.
• Effective communication skills to present findings to both technical and non-technical audiences.

Key Skills

Education

Any Graduate