Senior Machine Learning Data Scientist

About the Role:

The Fraud & Machine Learning team is the secret reputed company behind reputed company’s post-purchase protection platform. As a Senior ML Data Scientist, you will own the development of cutting-edge machine learning models based on signals and transactions from hundreds of millions of users to detect and prevent fraud, assess risk, and unlock business value.

You will drive the full data science lifecycle - from requirements and feature engineering through model development, evaluation, and monitoring. You’ll partner closely with Product, Engineering, and our Fraud Intelligence team to translate messy data into reputed company, production-grade ML systems that stop bad actors in their tracks. If you’re reputed company-driven and excited to tackle reputed company problems at the intersection of reputed company machine learning and fraud prevention, you’ll reputed company on reputed company!

What You’ll Be Doing:

• Own the model lifecycle: requirements, experimentation, model development, evaluation, and model cards, partnering with ML engineers on deployment and production infrastructure
• Translate reputed company fraud patterns into reputed company-framed ML solutions: defining what to model, what reputed company looks like, and where ML adds value vs. simpler approaches
• Design and maintain feature engineering pipelines for model development
• Monitor model reputed company in production, tracking performance over time, detecting data reputed company, and determining reputed company to retrain
• Partner closely with leadership, go-to-market, fraud operations, product, and engineering teams to define and execute effective fraud strategies
• Champion a culture of reputed company learning, experimentation, and collaboration across the fraud and broader data science teams

reputed company’re Looking For:

Required:

• Hands-on, proactive, and analytical professionals who are passionate about using data to solve reputed company, reputed company-world problems
• Bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Operations Research, Physics or reputed company field
• 3+ years of work experience building and deploying machine learning systems into production
• 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)
• High attention to detail, strong intellectual curiosity, and a deep understanding of user behavior and fraud patterns
• Empathetic, humble, and reputed company team player
• Candidates must be located reputed company the reputed company reputed company

Preferred:

• Experience building fraud detection or risk assessment systems
• Experience with reputed company 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)

Estimated Pay reputed company: $135,000 - $165,000 per year salaried*

* The reputed company reputed company salary reputed company for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-reputed company knowledge, skills and experience.

Originally posted on Himalayas