Seeking a Full Stack AI Engineer to design and implement applications, develop ETL pipelines, and integrate AI-driven features while collaborating with data teams.

Lead the development of pricing optimization models using statistical and machine learning techniques. Analyze pricing elasticity and collaborate with teams to drive data-driven insights.

As a Senior Tableau Developer, you will manage end-to-end BI projects, design dashboards, write SQL queries, and collaborate with clients to deliver insights.

As a Data Engineer, you'll design and optimize data pipelines using Python, SQL, and Spark, focusing on data processing and integrity.

The Operations Manager will optimize data science consulting efficiency, manage financial forecasting, oversee resource allocation, and provide performance insights to leadership.

The Senior Data Engineer will design, implement, and optimize data solutions, working collaboratively to develop data pipelines and ensure infrastructure scalability.

The Business Intelligence Lead Analyst transforms complex datasets into actionable insights, partners with cross-functional teams, and develops BI solutions and dashboards to inform decision-making.

The Director of AI Strategy will lead AI solution development, client advisory, project management, and service evolution for AI initiatives, leveraging 8+ years of consulting experience in AI.

The Vice President of Business Intelligence will lead the BI practice, oversee engagements, shape offerings, build teams, and drive new business through data insights.

The Senior Data Engineer will design and maintain scalable data pipelines, migrate legacy infrastructure, and ensure data quality and compliance while collaborating with teams and stakeholders.

The Senior QA Engineer ensures quality by collaborating with development teams, validating data quality, creating test plans, and mentoring junior engineers.

The Data Engineer will build and maintain data pipelines, optimize data systems, ensure data governance, and support analytics and reporting needs.

Lead the design and implementation of advanced Generative AI solutions, providing strategic consulting and technical advisory to clients while driving innovation and business development.

The Business Intelligence Lead Analyst will create interactive dashboards, automate data processes with Python, and ensure data security and scalability while translating complex financial data into actionable insights.

The AI Engineer will design, develop, and deploy scalable AI solutions, focusing on Retrieval-Augmented Generation, MLOps workflows, and collaborate across teams.

The Data Engineer Lead will evaluate ML models, design and implement data pipelines into Snowflake using Python, and collaborate with teams for successful migration.

The Fullstack Engineer will design and develop scalable applications using TypeScript, React, and Python, while building RESTful APIs and leveraging GCP services like BigQuery.

The Scrum Master will facilitate Agile processes, coach teams, manage project delivery, report on metrics, and drive continuous improvement.

The Local Credit Representative will engage customers at retail locations to promote credit card acquisition, support training for associates, and drive weekly applications.

The MLOps Engineer will design, develop, and operationalize ML models, ensuring deployment and reliability on AWS, and collaborating with teams for best practices in MLOps.