Top Data Science Jobs

The Senior Analyst in Revenue and Pricing will support data-driven business intelligence through revenue analysis, pricing model development, and actionable insights delivery. Responsibilities include conducting complex revenue analyses, creating pricing models, leveraging technical skills for dashboard creation, and identifying opportunities for operational improvement. The role requires building relationships with stakeholders and communicating findings effectively.

The AI Model Risk position at MetLife involves managing risks related to Artificial Intelligence and Machine Learning models. Responsibilities include challenging modeling decisions, assessing risks, collaborating with internal teams and vendors, and ensuring mathematical and conceptual soundness of models. Required skills include experience in statistical, ML or AI model development, programming skills in Python, R, and/or C#, and the ability to work collaboratively. A graduate degree in a quantitative field and 3+ years of experience are also required.

The Principal Advanced Packaging and Heterogeneous Integration Scientist leads R&D for 2.5D and 3D integration technologies focused on RF/mmW applications. Responsibilities include managing projects, mentoring teams, developing vendor relationships, and presenting research findings, while leveraging extensive experience in packaging techniques and microelectronics.

As a Senior Data Scientist at Grubhub, you'll lead efforts in creating scalable experimentation processes, design and evaluate experiments, support data-driven decision-making, and act as a thought leader in experimentation methodologies while collaborating with multiple teams.

As a Principal Applied Scientist, you will lead the delivery of AI products, collaborate with ML engineers, improve data quality and usability, and engage in public-facing content to enhance Xero's profile. The role requires a focus on creating impactful, customer-facing ML and AI solutions while emphasizing high-quality code from the outset.

As a Revenue Operations Analyst II, you will enhance merchant lifecycle processes through automation, manage cross-functional initiatives, and develop scalable reporting solutions. You will also collaborate with various teams to improve Salesforce features and support growing revenue teams with training and resources.

The Senior Data Scientist will drive collaboration across teams to analyze data for fraud risks, build machine learning models, and provide insights for risk mitigation. Responsibilities include data refinement, project prioritization, mentoring, and establishing best practices in data science.