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Fractal Analytics is seeking Software Development Engineers to develop and deploy cutting-edge, AI-driven enterprise applications on their client's AI Platform. Responsibilities include integrating system functionalities, designing full-stack applications, data integration, testing, performance optimization, automation, version control, and documentation. Must have a solid background in JavaScript frameworks like React, Redux, Vue, Backbone, and Angular.

The Executive Assistant to the CFO will support the CFO by managing appointments across time zones, acting as a liaison with senior management, and handling various administrative tasks like travel arrangements and invoicing while ensuring confidentiality and effective communication.

As a Data Scientist specializing in Machine Learning, you will develop and implement machine learning and statistical models to enhance client business operations, collaborate with teams, research advancements in AI, and lead initiatives for data analytics capabilities.

The AI Solutions Manager at Fractal collaborates with Fortune 500 clients to identify and scope AI solutions using the C3 AI Platform. They lead cross-functional teams to develop AI/ML applications while providing strategic guidance and ensuring customer success. Candidates should possess strong analytical skills and experience in a technology-related field.

As a Senior Data Scientist, you will leverage advanced AI and ML algorithms to solve complex problems, design analytical solutions, and collaborate with stakeholders to drive business solutions through data insights. You will handle the end-to-end data science pipeline and conduct innovative research to enhance model performance.

In this role, you'll analyze data projects using advanced data modeling and reporting to support strategic decisions. You'll manage multiple projects, use tools for data visualization, and work closely with stakeholders to highlight business needs and insights. A strong background in SQL and project management in an agile environment is essential.

The Marketing Measurement Lead will focus on in-store measurement, attribution, and incrementality to guide clients on leveraging data. Responsibilities include developing measurement frameworks, conducting experiments, analyzing retail media performance, and collaborating across teams to enhance insights and decision-making.