Senior Data Scientist

Summary

Join Okendo as a Senior Data Scientist and play a pivotal role in leveraging data to drive company growth, enhance product performance, and develop intelligent features. Collaborate with cross-functional teams to design models, uncover insights, and scale analytics. This high-impact role requires expertise in statistical analysis, experimentation, and machine learning within a fast-paced environment. You will partner with product, engineering, and go-to-market teams, build predictive models, drive experimentation, and develop scalable analytics frameworks. The position demands strong communication skills to translate complex data into actionable insights. Okendo offers competitive compensation, remote work in AU, paid family leave, and various other benefits.

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

Responsibilities

• Partner with product, engineering, and go-to-market teams to identify high-impact opportunities to leverage data
• Build predictive models, customer segmentation, and recommendation systems to enhance product experiences
• Drive experimentation and A/B testing across the platform and marketing channels
• Develop scalable analytics frameworks and self-service tools to democratize data across the organization
• Perform exploratory data analysis to inform product strategy and feature development
• Support data-driven decision-making through dashboards, reporting, and ad-hoc analyses
• Contribute to the development of our data platform and ML infrastructure in collaboration with data engineering

Benefits

• Work remotely in the AU
• 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