Top Remote Data & Analytics Jobs
As a Decision Scientist, you will apply data-driven techniques to identify opportunities, participate in project definition, and directly impact business strategy setting outcomes. You will be responsible for implementing and monitoring customer-facing decisions and risk controls, as well as working closely with ML teams to inform model evaluations.
As a Security Governance Partner for Cash App's Machine Learning and Data Science, you will act as a security domain expert, collaborate with various teams, automate governance tasks, drive security requirements, and promote security standards and frameworks.
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.
Data Engineer II at GoodRx, responsible for developing and maintaining data processing pipelines using cloud technologies and big data tools. Collaborate with cross-functional teams to guide business decisions through data analysis.
GoodRx is seeking a Data Engineer II to collaborate on building data pipelines using cloud technologies such as AWS, Databricks, and Kubernetes. Responsibilities include defining data specifications, developing data processing pipelines, and analyzing large data sets to guide business decisions.
GoodRx is looking for a Data Engineer II to collaborate with teams across the company to build data pipelines and processes, analyze large data sets, and make data-driven decisions to guide business strategies. The ideal candidate will have 2+ years of experience in Cloud data spaces, engineering data pipelines, and working with big data technologies.
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.
Looking for a Senior Database Engineer to join the Bitbucket SRE team. Responsibilities include enhancing database performance and reliability, conducting root cause analysis, and collaborating with teams to lead initiatives. Must have 3+ years of experience with high-volume OLTP databases and public cloud relational database offerings. Proficiency in SQL, scalability, and performance tuning is required.
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.
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Design, build, evaluate, deploy, and iterate on large scale Machine Learning systems at Dropbox. Collaborate with cross-functional teams to personalize user experiences and impact millions of users. Requires BS or MS in Computer Science, 2+ years of experience, strong analytical and problem-solving skills, and proficiency in Python, C, and C++.
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.
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.
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.
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.
Zeta Global is seeking a Solutions Consultant to join their Data Cloud division, responsible for enabling new business development based on proprietary data assets. The role involves supporting client meetings, analyzing data sets, and developing client-facing business cases. The ideal candidate should have experience in digital marketing, analytics, and presenting to executives.
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.
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