Top Data & Analytics Jobs

The Senior Payments Growth Analyst at LastPass will analyze payment processes using data analytics and machine learning to optimize customer experiences, reduce churn, and drive growth strategies. The role involves collaboration with multiple teams to enhance payment solutions and improve metrics related to customer acquisition and retention.

As a Senior Data Scientist at RVO Health, you'll design, implement, and maintain recommendation systems while collaborating with business stakeholders. You will focus on model development, optimization, and effective communication of complex data science concepts, contributing to decision-making and project execution in a hybrid work environment.

The Machine Learning Engineer will build and deploy models to assess risks in the payments domain, collaborate across teams, develop scalable frameworks for analysis, and communicate findings to stakeholders. The role requires deep knowledge in machine learning, statistical techniques, and programming.

As a Strategic Fraud Analyst, you will design and implement fraud prevention strategies, analyze fraud patterns, collaborate with cross-functional teams, and support customer fraud strategies. You'll also produce reports on fraud trends and stay informed about financial fraud developments.

The Senior Machine Learning Engineer at Cash App will design and enhance ML inference services, support ML model development, and collaborate with cross-functional teams to drive strategic initiatives in financial crime detection.

The Machine Learning Infra Engineer will bridge the gap between data science and production systems by optimizing models for runtime performance, designing scalable MLOps pipelines, and implementing monitoring frameworks. They will work closely with data scientists to improve workflows and ensure reliability across the system, while also developing data versioning and deployment strategies.

As a Staff Machine Learning Ops Engineer at Grubhub, you will architect and develop scalable MLOps pipelines, oversee monorepo management, implement monitoring frameworks, drive platform improvements, enhance engineering standards, and establish processes for data lineage and model management.

The Senior Scientist in Machine Learning will develop generative models and algorithms for protein design, scale systems using GPU resources, and collaborate with both computational and wet lab teams to create new therapeutics. The role also involves engineering machine learning systems for large-scale applications and presenting research findings.

The Principal Data Scientist will lead and mentor the Data Science team, focusing on data analysis to uncover insights, enhance customer experiences, and optimize business strategies. Responsibilities include developing models, conducting statistical analyses, and collaborating closely with technical teams to drive project success and innovation in data utilization.

The Data Scientist Lead will translate business problems into advanced analytical solutions using machine learning, statistical models, and optimization techniques. This role involves collaboration with engineering partners, managing model risk, and maintaining a library of reusable algorithms. The individual will lead analytics projects, guide team members, and communicate insights effectively to business stakeholders.

The Principal Data Scientist will lead the implementation of AI solutions, focusing on generative AI to address complex business problems. Responsibilities include mentoring others, developing predictive models, ensuring data quality, and collaborating on product innovations to deliver value to customers.

The Data Scientist, Computer Vision at Sensei Ag will focus on creating machine learning models to automate greenhouse tasks. Responsibilities include collaborating with stakeholders to understand data needs, developing machine learning approaches, encoding algorithms into pipelines, and communicating insights effectively.

The Senior Cyber Fraud Defense Analyst safeguards the organization against cyber fraud by analyzing threats, identifying vulnerabilities, and implementing defense strategies. This role involves leading investigations, developing fraud detection strategies, mentoring junior analysts, and monitoring detection systems to thwart fraud attempts.

The Sr Data Scientist will leverage machine learning and AI governance expertise to assess AI initiatives and ensure alignment with best practices. Responsibilities include evaluating predictive models, creating visualizations, updating AI policies, and collaborating with internal teams to enhance AI solutions.

The Senior ML Engineer will develop scalable machine learning platforms for marketing optimization. Responsibilities include collaborating across teams, designing ML systems, improving best practices, and driving business value through advanced analytics and insights from data. The role requires strong technical leadership and stakeholder management skills.

As a Machine Learning Engineer, you will build and manage model pipelines, scale ML algorithms, implement ML Ops, and ensure quality deliverables. You'll collaborate with teams to deliver projects and conduct research on new architecture patterns and technologies.

The Senior Machine Learning Scientist will lead the development of machine learning algorithms, collaborate with cross-functional teams on data fusion problems, design neural network architectures, manage research projects, and optimize software for performance. They will also stay current on advancements in machine learning and contribute to novel algorithm development.