Extend (Australia) Pty Ltd
Senior Machine Learning Data Scientist
Remote, US · Senior
Sponsorship not specified$135k-$165kDetected 68 days ago
PythonSQLAWSMachine LearningPyTorchscikit-learnData ScienceStatisticsA/B TestingComplianceCustomer SupportResearchLeadershipCollaboration
About the role
- The Fraud & Machine Learning team is the secret sauce behind Extend's post-purchase protection platform.
- If you're impact-driven and excited to tackle complex problems at the intersection of core machine learning and fraud prevention, you'll thrive on our team!
- Translate complex fraud patterns into well-framed ML solutions: defining what to model, what success looks like, and where ML adds value vs. simpler approaches
Responsibilities
- Own the model lifecycle: requirements, experimentation, model development, evaluation, and model cards, partnering with ML engineers on deployment and production infrastructure
- Design and maintain feature engineering pipelines for model development
- Partner closely with leadership, go-to-market, fraud operations, product, and engineering teams to define and execute effective fraud strategies
- By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.
- You will drive the full data science lifecycle - from requirements and feature engineering through model development, evaluation, and monitoring.
Requirements
- Bachelor's degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Operations Research, Physics or related field
- Strong proficiency in Python and SQL
- Strong understanding of ML fundamentals: model selection, evaluation methodology, feature engineering, and common failure modes
- Hands-on experience with PyTorch, scikit-learn, and XGBoost (or similar gradient boosting frameworks)
- Candidates must be located within the continental United States
Nice to have
- Experience with cloud ML platforms, particularly AWS (e.g., SageMaker)
- Experience with graph data and graph-based models (e.g., PyTorch Geometric)
- Experience with model monitoring and observability tooling (e.g., Arize)
Compensation
- The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience.
- $135,000 - $165,000 per year salaried*
- Competitive salary based on experience, with full medical and dental & vision benefits.
Benefits
- Competitive salary based on experience, with full medical and dental & vision benefits.
- Stock in an early-stage startup growing quickly.
- Generous, flexible paid time off policy.
- Champion a culture of continuous learning, experimentation, and collaboration across the fraud and broader data science teams
- Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more.
Company info
- Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth.
- Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection.
- Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.
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