Okendo
eCommerce • Marketing • SaaS
Okendo is a comprehensive customer marketing platform designed to build stronger, more profitable customer relationships for e-commerce businesses. The platform integrates various products such as reviews, quizzes, referrals, loyalty programs, and surveys to enhance customer trust, match shoppers with desired products, and improve customer engagement. Okendo's offerings include multiple integrations with platforms like Google, Meta Pixel, and Klaviyo, and are specifically tailored to enhance customer experiences and drive revenue growth. As a tool to leverage customer opinions and loyalty, Okendo empowers businesses to grow their online presence by optimizing conversions and increasing customer lifetime value.
Senior Data Scientist
July 20
Okendo
eCommerce • Marketing • SaaS
Okendo is a comprehensive customer marketing platform designed to build stronger, more profitable customer relationships for e-commerce businesses. The platform integrates various products such as reviews, quizzes, referrals, loyalty programs, and surveys to enhance customer trust, match shoppers with desired products, and improve customer engagement. Okendo's offerings include multiple integrations with platforms like Google, Meta Pixel, and Klaviyo, and are specifically tailored to enhance customer experiences and drive revenue growth. As a tool to leverage customer opinions and loyalty, Okendo empowers businesses to grow their online presence by optimizing conversions and increasing customer lifetime value.
📋 Description
• 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
🎯 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
• 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
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