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Remote Senior Data Scientist
Remote
Senior Data Scientist
at
Okendo
Posted 3 days ago
✅
0 applied
Description:
Okendo is a customer marketing platform that helps Shopify brands create stronger connections with consumers.
The Senior Data Scientist will play a crucial role in using data to drive growth, improve product performance, and deliver intelligent features.
Responsibilities include collaborating with cross-functional teams to design models, uncover insights, and scale analytics.
The role involves building predictive models, customer segmentation, and recommendation systems to enhance product experiences.
The Senior Data Scientist will drive experimentation and A/B testing across the platform and marketing channels.
They will develop scalable analytics frameworks and self-service tools to democratize data across the organization.
The position requires performing exploratory data analysis to inform product strategy and feature development.
The role supports data-driven decision-making through dashboards, reporting, and ad-hoc analyses.
The Senior Data Scientist will contribute to the development of the data platform and ML infrastructure in collaboration with data engineering.
Requirements:
Candidates must have 8+ years of experience in data science, with a strong background in statistical analysis, experimentation, and machine learning.
Proficiency in Python and SQL is required, along with hands-on experience using tools like Pandas, scikit-learn, dbt, or similar.
Applicants should be comfortable working with large datasets and cloud-based data warehouses such as BigQuery, Snowflake, or Redshift.
A strong understanding of experimentation design, including A/B testing and uplift modeling, is necessary.
Experience working cross-functionally with product, engineering, and business stakeholders is essential.
Candidates must possess strong business acumen and the ability to translate data into actionable insights.
Excellent communication skills are required to explain complex ideas clearly and concisely.
Experience in SaaS, e-commerce, or martech is preferred.
Benefits:
The position offers the flexibility to work remotely in Australia.
Employees receive 12 weeks of Paid Family Leave at 100% pay.
There is exposure to some of the most influential eCommerce brands globally.
An office stipend is provided for setup.
Opportunities for training and development are available.
The company has a data-backed and competitive compensation strategy.
Employees enjoy 4 weeks of annual leave and 11 paid public holidays.
Sick and carer’s leave, as well as compassionate and bereavement leave, are included in the benefits package.
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