Top Data & Analytics Jobs

As a Senior Data Scientist at Bose, you will deliver AI and machine learning solutions for demand forecasting and supply chain models. Engage with stakeholders to translate business problems into data science solutions, collaborate with various teams, and mentor others while deploying predictive and prescriptive models.

As a Sr Data Scientist, you will collaborate with cross-functional teams to execute data enrichment and feature selection, evaluate and deploy candidate models, and ensure ongoing model stability through monitoring. You will lead client discussions about functionality and prepare sales materials while guiding a team in impactful data science initiatives.

As a Data Engineer at Aristotle, you will be responsible for developing data load processes, designing and implementing solutions using .NET/SSIS/SQL Server technologies, building web-based reporting systems, collaborating on data transformation rules, and optimizing ETL processes. You will work on enhancing system performance, creating documentation, and following industry-standard practices.

The Junior Data Scientist Cohort at Koddi focuses on training recent graduates in machine learning and data science applications. Responsibilities include collaborating with team members to develop scalable machine learning models, conducting A/B tests, and documenting work processes while participating in leadership workshops.

As a Senior Revenue Analyst, you will manage revenue-related processes, oversee order-to-cash operations, ensure accurate billing and invoicing, and maintain revenue forecasts. You will also collaborate with cross-functional teams, support month-end close processes, and assist with audits and reporting.

As a Senior Data Engineer at Zencore, you will leverage Databricks to assist clients with data application modernization and cloud migration, driving transformation by acting as a trusted advisor on various topics including ETL, data modeling, security, and governance. You will develop production-ready Spark applications, utilize the Databricks tech stack, and implement data pipeline best practices.

As a Data Labeling Specialist, you will enhance self-driving technology by labeling images and objects for deep learning algorithms, ensuring accuracy and quality. Your role involves using data annotation tools, quality checking work, and collaborating with engineering teams to improve annotation processes and tools.