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The Senior Business Analyst in BizOps will conduct complex analyses to drive revenue and performance for Capital One Shopping. This role involves identifying business challenges, performing product modeling/analytics, and collaborating with cross-functional teams to implement strategies aimed at scaling international business.
The Senior Business Analyst in BizOps at Capital One Shopping will analyze business challenges, partner with sales and product teams, and generate actionable insights to drive revenue growth. The role requires problem-solving skills, communication proficiency, and a track record in analytics to support international expansion efforts.
The Senior Business Analyst in the BizOps team at Capital One Shopping will analyze business challenges, generate actionable insights, and support revenue growth strategies. They will collaborate with cross-functional teams and use data-driven analysis to drive revenue and improve business outcomes.
Lead the design, development, and deployment of large-scale data systems. Build and maintain data pipelines, ensure data quality, and collaborate with teams for data-driven insights. Optimize ETL processes and troubleshoot data inconsistencies while recommending data integration solutions.
As a Data Science Engineer at PrizePicks, you will develop and maintain streaming data and MLOps infrastructures to enable real-time pricing markets. Responsibilities include designing data architectures, creating end-to-end data science pipelines, and collaborating with various teams to ensure data quality and reliability.
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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 Applied Scientist will enhance customer-service provider matching through machine learning and optimization, develop predictive models, analyze marketplace dynamics, and manage monetization mechanics to foster marketplace growth at Thumbtack.
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 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.
As a Staff Data Scientist at Spring Health, you will work on innovative mental health technologies, helping to revolutionize care delivery by analyzing data and providing insights that inform the development and enhancement of health solutions tailored to individual needs.
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 Web Application Security Analyst at Two Barrels will analyze web applications for security vulnerabilities, monitor network traffic for incidents, respond to security events, and develop best practices for information security. The role requires a strong background in application security, hands-on assessment experience, and knowledge of malicious techniques used by hackers.
As a Senior Revenue Systems Analyst, you'll support revenue systems, subscription management, and data integration. Key responsibilities include managing billing and revenue recognition processes, collaborating with sales and billing teams, identifying automation opportunities, and ensuring compliance with accounting standards.
The Sr. Advisors are responsible for designing and developing models and algorithms for marketing measurement, using big data analytical tools to process data, and implementing machine learning techniques for identity resolution. They will also adapt software tools for R&D environments and extract actionable information from various data sources.
Managers oversee analytical service operations for mortgage and tenant screening by managing data scientist consultants. They design and develop software for mining datasets, predictive scoring models, and generate insights using data query software. Key responsibilities include developing statistical models, providing training, and recommending changes to customers based on market insights.
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