As a Senior Data Scientist, you'll play a pivotal role in shaping how we use data to drive growth, improve product performance, and deliver intelligent features to our users. You'll collaborate with cross-functional teams to design models, uncover insights, and scale analytics across the business.
Requirements
- 8+ years of experience in data science, with a strong background in statistical analysis, experimentation, and machine learning
- Proficient in Python and SQL, with hands-on experience using tools like Pandas, scikit-learn, dbt, or similar
- Comfortable working with large datasets and cloud-based data warehouses (e.g., BigQuery, Snowflake, Redshift)
- Strong understanding of experimentation design (A/B testing, uplift modeling, etc.)
- Experience working cross-functionally with product, engineering, and business stakeholders
- Strong business acumen and ability to translate data into actionable insights
- Excellent communication skills—you can explain complex ideas clearly and concisely
- Experience in SaaS, e-commerce, or martech
Benefits
- 12 weeks of Paid Family Leave at 100%
- Exposure to the most influential eCommerce brands globally
- Office stipend setup
- Opportunities for training + development
- Data backed and competitive compensation strategy
- 4 weeks of annual leave
- 11 paid public holidays
- Sick & carer’s leave
- Compassionate & bereavement leave