Top Remote Data Science Jobs in Wilmington, NC
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.
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.
The OFRO P&T Risk & Quality Data Science Director at PwC is responsible for developing and monitoring risk management policies, compliance, and technology. This role requires expertise in Python, SQL, data science, risk management, and compliance. The Director will lead a team in solving complex business issues, analyzing marketplace trends, and upholding ethical standards.
Lead the Products & Technology Risk and Quality team, overseeing risk management, compliance, and technology-related issues. Develop and monitor risk management policies, facilitate client engagements, and make informed decisions through research and analysis. Drive stakeholder discussions and uphold ethical standards. Requires strong leadership, communication, and critical thinking skills.
A Director position in the Products & Technology Risk and Quality team at PwC's One Firm Risk Organization. Responsibilities include overseeing risk management policies, compliance, and technology, and supporting client engagement teams in assessing and managing risks. Requires strong leadership, problem-solving, and communication skills, as well as expertise in technology and data risks.
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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.
Senior Research Scientist role at Opendoor focusing on developing customer-facing data projects and research to optimize home rentals and sales. Responsibilities include developing data products, creating marketing materials, conducting analyses, and setting standards for analytical rigor. Requires 5+ years of industry experience and an advanced degree in a quantitative field.
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Looking for a Data Scientist to join the Enterprise Data Science team at Grammarly, responsible for supporting the Enterprise business and driving impactful data science projects within the B2B space. The ideal candidate will be familiar with the enterprise buyer sales process, have expertise in marketing, demand generation, revenue operations, and more.
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.
Resolve direct and indirect disputes related to credit reporting, collaborate with various teams to determine root cause of disputes, work with major credit bureaus, and ensure accurate credit reporting information.
Join Arity as a Machine Learning Scientist to work on building scalable distributed machine learning models for analyzing geospatial data and creating innovative insights. Collaborate with a cross-functional team to enhance transportation safety and efficiency through data-driven solutions.
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.
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