Top Data & Analytics Jobs
As a Principal Data Scientist II (AI), you will shape AI strategies and develop innovative AI solutions. Responsibilities include defining AI architecture, collaborating with data scientists, integrating AI capabilities across the platform, providing technical leadership, and driving product innovation.
As a Senior Data Scientist at Rocket Money, you'll build machine learning-driven features in collaboration with engineering, product, and design teams. You'll also optimize product feedback loops, develop automation for budgeting tools, construct customer segmentation models, run experiments to gauge impact, and ensure accuracy in transaction categorization systems. You'll lead projects, drive strategy, and focus on enhancing customers' financial experiences.
The Data Engineer 4 role involves developing and overseeing the company's data systems, optimizing database solutions, managing data migrations, and ensuring compliance with regulations. The incumbent will analyze data needs, recommend improvements, and collaborate with product teams for strategic initiatives, ultimately enhancing customer experiences.
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As an Analytics Engineer at Beam, you will collaborate with various teams to enhance data usability and reliability, develop and maintain the data warehouse, and implement software engineering best practices in analytics processes.
The HR Data Operations Manager will oversee the integrity and quality of HR data systems, develop data standards, ensure compliance with data privacy regulations, and collaborate with various teams to enhance data management practices. Responsibilities include monitoring data quality and managing security incidents.
The Senior Analytics Engineer will lead the establishment of data infrastructure, design data warehouses, and build data models and ETL pipelines to enhance product analytics and user engagement. This role balances strategic design and hands-on implementation while collaborating with leadership to address business requirements and promote data literacy.
The New Business Development Analyst will identify growth opportunities, create strategies, and support proposal and capture processes to secure new contracts. Responsibilities include assisting with opportunity identification, proposal submissions, and maintaining proposal documentation, ensuring compliance and competitiveness.
The Data Scientist will analyze large datasets to identify patterns, create predictive models, automate data collection processes, and provide actionable business insights. Responsibilities include developing algorithms, collaborating with engineering teams, and utilizing data visualization to enhance decision-making.
The Senior Data Scientist will lead data analysis and model development projects within the Data Science team, involving the design and deployment of predictive models and machine learning algorithms. Responsibilities include executing data science strategies, collaborating with stakeholders, validating models, and communicating insights effectively.
The Data Engineer I designs and maintains enterprise-level data pipelines, implementing complex processes that interact with a centralized data warehouse. Key responsibilities include developing data extracts, creating SQL queries, and collaborating with analysts and architects on data pipeline design. The role involves testing, debugging, and thoroughly documenting data processes.
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