The company is looking to transform convenience e-commerce, delivery, and on-demand services across the United States by leveraging advanced analytics and insights to drive business growth and enhance customer experience.
Requirements
- Strong expertise in structuring problems, conducting quantitative analysis, building machine learning based solutions, while working with large datasets.
- Proficiency in statistical analysis, A/B testing methodologies, and data visualization.
- Experience with machine learning models – development, deployment, consistent business impact.
- Proficiency in reporting tools, data visualization platforms, machine learning platforms (e.g. Databricks).
- Familiarity with marketplace platforms and the dynamics of merchant, driver, and consumer interactions.
- Familiarity with data analytics and machine learning tools/platforms.
- Professional certifications in Data Science or related fields are advantageous.
Responsibilities
- Manage the data warehouse and ensure consistency, accuracy and integrity of all data being collected.
- Generate and deliver comprehensive business reports and dashboards to support day-to-day operations and strategic decision-making.
- Design and execute A/B tests, match market tests, and before-after tests to evaluate the effectiveness of changes and enhancements.
- Apply a structured problem-solving approach, diving into the lowest level of detail, and employing strong quantitative skills to drive insights and recommendations.
- Leverage machine learning and AI models to optimize the delivery platform to consistently grow value for merchants, drivers and Skipcart business.
- Collaborate with cross-functional teams to understand their success definitions and pain points to consistently improve the platform (product, processes etc.).
- Collaborate closely with the product team to identify and prioritize strategic initiatives from their inception to business impact.
Other
- Bachelor's degree in Business Analytics, Data Science, or a related field. Master's degree in a relevant discipline is preferred.
- Strong leadership and people management skills, with the ability to mentor and develop a high-performing team.
- Excellent communication skills with the ability to translate complex findings into clear and actionable insights.
- Strong understanding of operational, financial, and technical concepts.
