Data Scientist

Responsibilities

• Model Development
• Develop and implement machine learning models and advanced analytics solutions to address business challenges.
• Engage in the practical aspects of coding, data preprocessing, and model validation.
• Ensure the accuracy, quality, and scalability of data science deliverables.
• Data Analysis and Insight Generation
• Analyze data from various sources to identify trends, patterns, and opportunities for improvement.
• Contribute to the design and execution of predictive models for customer segmentation, pricing strategies, and inventory management.
• Support the interpretation of analytical findings and provide actionable insights.
• Experimentation and Testing
• Assist in designing and implementing testing and experimentation strategies, including A/B testing and controlled experiments.
• Analyze results from experiments to evaluate the effectiveness of business strategies.
• Contribute to the development of guidelines and best practices for experimentation.
• Collaboration and Support
• Work with cross-functional teams, including marketing, operations, investments, and finance, to understand business needs and data requirements.
• Support senior data scientists in executing projects aimed at optimizing business operations and improving customer experience.
• Participate in the identification of data-driven opportunities and provide support for strategic initiatives.
• Continuous Learning and Improvement
• Stay up-to-date with the latest trends and developments in data science and machine learning.
• Participate in team meetings and collaborative sessions to share knowledge and best practices.
• Continuously seek opportunities to improve technical skills and contribute to the team’s growth.
• Communication and Reporting
• Communicate analytical findings and insights to team members and stakeholders.
• Prepare reports and visualizations to convey data-driven insights effectively.
• Support the development and delivery of presentations to non-technical audiences.

Qualifications

• Graduate degree in Economics, Data Science, Statistics, Mathematics, or a related field.
• 1-3 years of experience in data science, analytics, or a related field.
• Experience with Databricks is preferred.
• Strong problem-solving skills and attention to detail.
• Proficiency in programming languages such as Python and SQL.
• Basic understanding of machine learning models and advanced analytics techniques.
• Good communication skills for conveying technical concepts to team members and stakeholders.
• Ability to work collaboratively in a fast-paced, team environment and manage multiple tasks simultaneously.