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The Senior Process Automation Analyst will gather business process requirements, analyze and document processes, propose automation solutions based on Lean Six Sigma principles, and design end-to-end processes. The role involves collaborating with stakeholders, creating process documentation, and managing project activities related to automation initiatives.
The Sr Machine Learning Engineer will develop and maintain algorithms for Hulu's recommendation system, using advanced machine learning methods. Responsibilities include feature engineering, optimizing data pipelines, and collaborating with product and data teams to enhance personalization and analysis processes.
As a Senior Data Scientist at Thumbtack, you will leverage data to drive business decisions by conducting quantitative research, designing experiments, and collaborating with cross-functional teams on product development. Your role involves scoping new features, monitoring key metrics, and contributing to data culture while mentoring team members.
The Staff ML Infrastructure Engineer will be responsible for defining the technical vision and architecture for Thumbtack's machine learning infrastructure, leading cross-functional teams, and establishing best practices. The role includes mentoring, strategic decision-making, and aligning ML capabilities with business goals, all to support the company's AI-first approach.
The Senior Applied Scientist at Thumbtack will lead applied science initiatives focused on machine learning, optimization, and statistics. Responsibilities include architecting and deploying machine learning systems, conducting data analysis, collaborating with engineers, and technical mentorship.
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The Senior Data Engineer will focus on building and maintaining data platforms, developing efficient data pipelines, and architecting resilient distributed systems. Responsibilities include collaborating with teams to enhance user experience and ensuring data quality while supporting analytics and reporting needs.
The Senior Business Intelligence Analyst will build data models, create dashboards using data visualization tools, and collaborate with cross-functional teams to design data solutions for financial reporting and operational needs. Responsibilities include maintaining data pipelines, optimizing data quality, and promoting self-service data culture within the organization.
The People Analytics Solutions Lead is responsible for leading technical solutions in HR data engineering, analytics, and architecture. This includes managing the data environment using Databricks, developing data models, implementing analytics solutions, and managing governance frameworks for data quality and security. The role also involves strategic partnerships with stakeholders and requires strong leadership in data transformation and analytics strategy for HR.
The role involves leading a technical solutions team for HR data engineering, architecture, and analytics. Responsibilities include developing analytics solutions, managing data platforms like Databricks, and enhancing data visualizations to support strategic HR initiatives. The leader will also serve as a technical advisor for complex data analysis.
The Senior Data Engineer will be responsible for building data integration pipelines for data lakes and warehouses, ensuring data quality and integrity, and collaborating with stakeholders to meet business requirements. The role includes optimizing data transformation processes and promoting coding standards.
As a Senior Analytics Engineer, you will create and maintain data marts for various business domains, ensuring data quality and integrity. You will collaborate with cross-functional teams to enhance data accessibility and perform exploratory data analysis while developing impactful reports and dashboards for stakeholders.
The Manager of Data Strategy & Privacy will lead data strategy initiatives to support business objectives, applying advanced data analytics to inform decision-making. This role includes developing data governance policies, collaborating with cross-functional teams, and staying updated on regulatory changes to enhance user experience and optimize performance.
As a Senior Analytics Engineer II, you will lead data transformation, manage data ingestion workflows, design data pipelines into Snowflake, and implement best practices for data accuracy while ensuring compliance with security regulations. You'll also foster collaboration within the team and help shape the technical roadmap.
The role involves negotiating partnerships for data access with payroll companies and gig platforms, creating strategies to maximize provider coverage, collaborating with product teams for market introductions, establishing success metrics, and building relationships within the partner ecosystem.
The Securities Data Management Analyst will provide expertise on bank loan process flows and investment data integrity, supporting data requests and collaborating with various teams and external partners. Responsibilities include data validation, implementation of new data feeds, root cause analysis, and regulatory project representation.
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