Top Remote Data Science Jobs in Nashville, TN
Lead a data-driven Marketing program using quantitative data and technology to attract and retain users. Manage a team of marketing data scientists and collaborate with various departments to drive corporate reporting and planning.
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Join our team as a Senior Data Scientist in Fraud Risk, responsible for identifying and preventing fraud and credit risks using analytical skills and machine learning solutions. Collaborate with various teams to influence the global Risk roadmap and processes, and contribute to Square's Banking initiatives.
As a Senior Data Scientist in the Food & Beverage team at Square, you will use data engineering, business intelligence, analytics, statistics, and machine learning to empower data-driven decision-making and ensure a cohesive customer experience. Responsibilities include partnering with the product team, building foundational metrics, implementing product event logs, conducting research, prioritizing rigorously, and communicating analysis to high-level partners.
Seeking a Senior Data Scientist to join the Cloud Capacity Analytics team at ServiceNow. Responsibilities include delivering effective Cloud Analytics and reporting, collaborating with capacity planners, and leveraging AI and Machine Learning for infrastructure forecasting. Must have experience with data mining technologies and developing predictive models.
Senior Data Scientist at ServiceNow, responsible for leveraging data mining technologies, developing predictive models, and creating effective dashboards. Role focuses on analyzing demand and supply dynamics for forecasting infrastructure for artificial intelligence.
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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.
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 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.
Partner with engineering and product teams to analyze user behaviors and boost business growth through applied analytics techniques. Develop segmentation strategies, analyze customer behavior data sets, and track progress through dashboards. Collaborate with cross-functional teams to execute and iterate high-impact initiatives.
Seeking a Senior Data Scientist to drive analytics efforts and enhance end user experience within the company's software applications. Responsibilities include data analysis, experimentation, collaboration with cross-functional teams, and building data models for analytics and reporting. Success is measured by meeting win rate and content engagement goals, launching MVP projects, and influencing the product roadmap through strategic partnerships.
Chainlink Labs is seeking a Research Engineer with expertise in applied cryptography, distributed systems, and security to define research agendas and drive projects impacting the success of Chainlink's vision. The role involves conceptualizing and designing next-generation systems, pursuing fundamental research, and enhancing company visibility within the scientific community.
As a Staff Applied Scientist, Machine Learning - Perception at Cruise, you will drive impact-focused projects addressing challenges on urban roads with non-standard solutions. Responsibilities include research, development, problem identification, project leadership, technology guidance, and team enablement. Required qualifications include a PhD/MS in computer vision or machine learning, expertise in specific areas, research experience, strong programming skills, and communication abilities.
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