Marketing Data Scientist

The Marketing data scientist will be part of the broader Acquisition Marketing team focussing on bringing in new customers and retaining existing customers. You will partner with Marketing and teams to understand the insights they require to manage and grow their business and leverage cross-functional teams to develop and land solutions that meet their needs at scale. You are deeply curious and persistent in gaining knowledge about our products and go-to-market strategy.
We are a team of entrepreneurial, enthusiastic, and client-focused members.

• The successful candidate will be responsible for providing data-driven insights from Business casing, to Deep dives, Modelling, Campaign Performance readouts, and optimization.
• Delivering accurate, action-driving recommendations to drive business performance and investment optimization.
• Manage multiple analytical projects at a time, in a fast-paced, intense, and results-oriented environment owning it end to end.
• Influence stakeholders to make business decisions for the betterment of the program and identify areas where automation can help run the business smoothly
• You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling
• You are familiar with data science and machine learning techniques to improve product experiences
• You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance

• Bachelors/Masters Degree in Statistics, Mathematics, Applied Mathematics, Computer Science, Operations Research, Engineering, Economics
• 4+ years of experience in analytics, data science, or management consulting or equivalent analytical and project management experience
• Experience working within and driving strategy for large, global, complex organizations across multiple stakeholders and teams
• Exceptional problem-solving skills, with a strong ability to drive towards action and impact
• Experience in managing analytics projects from inception to delivery, including developing structured solutions
• Experience in Automation converting business requirements into insightful visualizations, dashboards, and reports
• Experience with data modeling, machine learning algorithms, and data science techniques.
• Hands-on experience with Python, SQL & BigQuery mandatory
• Experience explaining technical concepts and analysis implications to varied audiences and translating business objectives into analyses.