Data Scientist at iOCO

What you’ll do:

Data Analysis & Insights

• Analyze large, complex datasets to uncover trends, patterns, and insights.
• Provide actionable recommendations based on data analysis to improve business processes and decision-making.

Model Development

• Develop, validate, and deploy predictive models using machine learning techniques.
• Implement statistical models for forecasting, classification, and other tasks as required.

Data Management

• Clean, preprocess, and transform data to prepare it for analysis and modeling.
• Maintain and improve data quality and data pipelines.

Visualization & Reporting

• Create compelling data visualizations to communicate findings effectively to stakeholders.
• Develop and maintain dashboards and reports for tracking key metrics and outcomes.

Collaboration

• Work closely with cross-functional teams including product, engineering, and operations to understand their data needs.
• Provide data-driven insights to support product development and business strategy.

Technical Documentation

• Document methodologies, processes, and code for reproducibility and knowledge sharing.
• Ensure best practices in data science are followed and contribute to developing internal guidelines.

Your expertise:

Experience

• 2-4 years of experience in data science, analytics, or a related field.
• Proven experience in developing and deploying machine learning models in a production environment.

Technical Skills

• Proficiency in data manipulation and analysis using Python or R.
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Familiarity with SQL and database management.
• Knowledge of data visualization tools like Tableau, Power BI, or similar.
• Experience with version control systems (e.g., Git).