Top Remote Senior Level Data & Analytics Jobs in Dallas, TX
The Senior Data Scientist at Cash App Support will analyze large datasets, derive valuable insights, and drive meaningful change to improve customer experience. Responsibilities include partnering with support teams, conducting data analysis, designing experiments, and building metrics for business initiatives.
The Regulatory Examination Analyst will provide support to the Regulatory Team at Block in managing federal regulatory examinations, ensuring compliance with lending obligations, and facilitating communication with various teams within the company. The role involves examination program management, document review and submission, data management, and partnership with the Regulatory Examination Project Manager.
Develop and implement machine learning models for fraud detection, analyze large datasets, collaborate with teams, monitor model performance, and stay updated with latest developments in machine learning and fraud detection.
Support a market-leading product from analysis through to action, deliver analyses leading to product or business strategy insights, work closely with various teams to ensure cloud readiness for enterprise customers, use imperfect data to influence strategic company decisions, empower the company with data and analytical insights.
Responsible for driving the effectiveness of the Channel organization by consolidating reporting functions, optimizing processes, ensuring financial reporting accuracy, and supporting global sales teams. Key responsibilities include data analysis, process improvement, change management, and driving efficiency. Requires strong analytics skills, business acumen, and experience in Channel/Sales Operations or similar roles in B2B companies.
The Staff Data Scientist will focus on Search Engine Optimization Econometrics, working with SEO strategists to develop measurement techniques, models for SEO improvement strategies, and valuable insights to drive growth for the business. Responsibilities include understanding SEO best practices, modeling data, proposing experimentation strategies, and communicating findings to guide decision-making processes.
Staff Data Scientist role focusing on Search Engine Optimization (SEO) at Course Hero, responsible for understanding SEO best practices, developing measurement techniques, modeling SEO improvement strategies, and communicating findings to drive implementation. Requires 5+ years of data science experience, a PhD or MS in a quantitative field, proficiency in Python and SQL, deep understanding of statistics and ML modeling, and problem-solving skills.
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As a Sr Business Systems Analyst at Cloudflare, you will be responsible for advanced professional systems & process design and implementation with strong Service/Success business process knowledge. You will elicit, understand, and document internal customer's business requirements, develop functional specifications, and work closely with developers to test functionality. This role involves leading discovery and analysis sessions, recommending best practices, and driving meaningful business process improvements.
Cloudflare is looking for a Sr Director of Global People Services & Analytics to lead and transform the employee experience, oversee Global Mobility and People Analytics, and support the company's growth to $5 billion in revenue and 10,000 employees in the next five years. This role will involve strategic planning, partnership with leadership, and driving innovation in data solutions.
As a Senior Machine Learning Engineer at Wasabi, you will deploy scalable machine learning solutions and enhance computer vision and audio processing capabilities. You will work with a modern software stack and collaborate with a team of passionate engineers to drive innovation in machine learning and cloud storage.
As a Senior Engineering Manager, you will lead a team of engineers to build Dropbox's AI offering, Dash. You will drive product monetization and revenue generation while fostering a collaborative culture. Your responsibilities include team development, decision-making based on data insights, and contributing to technical and product strategies. The role requires a strong background in software engineering, distributed systems, and backend infrastructure. Preferred qualifications include a PhD in Computer Science and experience in machine learning.
Shape the future direction of the organization by leveraging the latest advancements in AI/ML. Collaborate with cross-functional teams to build and iterate on large-scale Machine Learning systems. Contribute to the technical strategy for the machine learning lifecycle.
Looking for a Senior Applied Scientist to improve targeting and optimization products by building production-level ML and data products, using machine learning models, and communicating effectively with various teams.
Collect detailed requirements and develop enterprise data-management and business-intelligence solutions for clients. Lead development in multiple technology platforms and create solutions for analytic products. Work on star-schema data models, integrate data, and deliver results through visualizations and custom web applications. Collaborate with clients to define requirements and assist in project management.
Seeking an experienced Senior Data Analyst to lead and drive insights connected to marketing campaigns. Responsibilities include analyzing metrics, optimizing funnels, identifying trends, and executing projects to impact go-to-market goals. Ideal candidate has strong analytical skills, proficiency in SQL, and 5+ years of marketing analytics experience.
Seeking a Senior Data Analyst to lead insights and analysis connected to product adoption and engagement. Responsible for providing regular analysis to product line leaders and identifying trends and opportunities. Must have strong communication skills and SaaS background in running SQL queries and designing product dashboards.
Join GRAIL as a Staff Data Engineer to support the data needs of clinical and research activities. Automate and enhance data infrastructure to contribute to early cancer detection efforts. Work collaboratively to design, deploy, and automate secure and efficient data infrastructure and tools.
Seeking a talented and experienced Principal Scientist, Real World Evidence (RWE) to develop standardized data models, process data, and generate regulatory-grade RWE in support of detecting cancer early. The role involves working with diverse teams and owning the real-world data to evidence strategy and architecture.
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