- Remote Data Science
Data Science
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1 to 50 of 8,294 for Data Science
Own the strategy and roadmap for Prefill Solutions, lead cross-functional teams to enhance digital onboarding experiences, and oversee commercialization efforts while monitoring product performance and identifying growth opportunities.
Develop and maintain data integration workflows, perform data profiling and cleansing, support data migration activities, and collaborate with teams to translate requirements into technical specifications for accurate data management.
Define the AI enablement vision and roadmap for analytics solutions, conduct customer research to inform product requirements, and collaborate with cross-functional teams to integrate AI capabilities into existing products.
Own the software product surface from vision to launch, translate customer challenges into product requirements, collaborate with engineering teams to develop user workflows, and validate solutions through direct engagement with operators.
Design and develop cloud-native microservices and backend systems for AI workflows. Automate deployment using Infrastructure-as-Code and collaborate with cross-functional teams to deliver effective technical solutions.
Develop AI and Computer Vision solutions, optimize performance of algorithms across hardware platforms, and collaborate with cross-functional teams to deliver innovative technical designs while embodying company culture and values.
Design data flow and processing pipelines, provide data management expertise, collaborate with teams to productionize AI workloads, and establish best practices for data readiness and governance in a dynamic technology environment.
Design and operate Azure Databricks environments, build and optimize data ingestion pipelines, implement governance frameworks, and automate deployments to enhance cloud-based analytics and AI operations for enterprise initiatives.
Design and architect scalable AI solutions for healthcare, build and deploy production-grade applications, and collaborate across teams to translate complex technical concepts into actionable insights for stakeholders.
Develop and maintain data models and dashboards to provide actionable insights, build machine learning models for various use cases, and conduct statistical analysis to identify patterns in operational data.
Develop and execute business development strategies for the US Public Sector, identify and lead large program opportunities, and build relationships with key stakeholders to enhance engagement and drive growth.
Design and implement customized data center solutions, engage with clients to gather technical requirements, provide technical leadership throughout project lifecycles, and evaluate emerging technologies to ensure alignment with client needs.
Identify and implement automation algorithm improvements, utilize tools to query and transform large datasets, and provide analytic insights to enhance data quality while collaborating with stakeholders to solve complex problems.
Support structured cabling installations and coordinate daily work for crews, perform on-site quality checks, assist with documentation and standards, and communicate project progress and material needs to leadership.
Lead the AI program by overseeing project portfolios, maintaining governance and prioritization, and driving successful transitions from pilots to production services while ensuring alignment with enterprise standards and business objectives.
Design, develop, and deploy machine learning and AI solutions to enhance data analysis and automate processes. Collaborate with cross-functional teams to integrate AI capabilities into existing applications and workflows.
Develop and implement safety policies across various business lines, conduct risk assessments, and collaborate with cross-functional teams to address emerging safety issues while ensuring effective communication and stakeholder engagement.
Architect and deploy ETL/ELT pipelines for real-time data analysis, create reliable data sources for enterprise intelligence, and establish data governance processes to ensure security and quality in data operations.
Oversee a project controls team, manage cost estimates and budgets, ensure adherence to project controls standards, and communicate performance reports to stakeholders for successful delivery of capital projects.
Lead the development and execution of a strategic event marketing plan, manage complex events and budgets, and serve as a primary contact for industry associations to enhance brand visibility and executive engagement.
Develop and execute strategic plans to capture market share, build relationships with decision-makers, and manage sales opportunities effectively while collaborating with marketing teams to enhance brand visibility and engagement.
Lead the design and implementation of enterprise-scale data platforms while establishing data governance, ensuring quality and traceability. Collaborate with cross-functional teams to translate AI requirements into production-grade capabilities.
Manage travel bookings, ensure compliance with U.S. Government regulations, coordinate transportation, and communicate itineraries to travelers while providing high-standard support throughout the travel lifecycle.
Engineer and implement security measures for systems, identify security requirements, design cybersecurity architecture, and maintain security documentation to enhance protection against vulnerabilities and ensure compliance with federal standards.
Develop and integrate AI-enabled solutions, build scalable data pipelines, implement AI capabilities with enterprise applications, and troubleshoot complex technical issues to ensure successful project delivery in a financial services environment.
Conduct advanced economic analyses of export policies, develop statistical methodologies for assessing export controls, and review transactions for compliance while supporting consultations with allies and evaluating alternative export policy...
Manage document and data processes in litigation support, ensuring compliance with ESI specifications, performing quality checks, and collaborating with attorneys to facilitate efficient document review and production.
Lead client projects and manage consulting teams to enhance data solutions, interface with executive stakeholders to align project objectives, and make key decisions on budgeting and resource management while mentoring junior consultants.
Support engineering design projects by performing seismic analysis, developing structural designs, and leading multidisciplinary teams to ensure project success while maintaining strong client relationships and delivering high-quality solutions.
Provide technical leadership and collaborate with teams to design and maintain modern data pipelines, ensuring optimal solutions that meet customer requirements while staying current with cloud technologies and best practices.
Lead the design and implementation of data integration frameworks while developing infrastructure systems and overseeing engineering data initiatives to enhance data management and analytics capabilities.
Design and implement automated systems for real-time risk monitoring, analyze complex datasets to identify patterns, and collaborate with stakeholders to translate business needs into effective data-driven solutions.
Lead the application of Artificial Intelligence in enhancing cyber defense capabilities, conduct evaluations to identify vulnerabilities, and develop actionable reports with recommendations for improving security measures against AI-driven threats.
Design and implement backend systems for autonomous drone operations, ensuring secure data exchange and real-time interoperability. Mentor engineers, drive multi-team execution, and manage end-to-end delivery of cross-team initiatives for...
Analyze large secondary data sources to address health care policy research questions. Optimize data processing solutions on cloud platforms while ensuring data quality and collaborating with researchers to refine project specifications.
Design and implement custom AI/ML software solutions, develop and integrate APIs, collaborate with prototyping teams, and analyze complex problems to deliver innovative technology solutions for federal clients.
Transform raw, fragmented data into actionable insights, develop analytical models, build data pipelines, and mentor junior team members to foster growth and accountability within a collaborative environment.
Lead client relationships and guide technology engagements, develop innovative strategies to address complex business challenges, and mentor teams while identifying new business opportunities to enhance client service capabilities.
Own and manage contractor-side backlog readiness, translating needs into features and user stories. Lead discovery and stakeholder engagement while supporting product management processes and ensuring alignment with Agile methodologies.
Lead the implementation of monitoring and evaluation plans, oversee data quality assessments, manage data systems configuration, and provide technical assistance to country teams for effective data collection and reporting in global health initiatives.
Lead advanced analytics initiatives, mentor multidisciplinary teams, and develop AI governance frameworks while collaborating with project leaders to enhance data-driven decision-making and organizational capabilities.
Conduct advanced research on data to support product development, design and deploy machine learning models, and ensure model explainability while driving pilot program analyses and translating insights into actionable business recommendations.
Provide Tier 1 and Tier 2 support for data analytics workflows, troubleshoot platform issues, coordinate meetings for data integration, and document processes to enhance user experience and operational efficiency.
Monitor and analyze pipeline health, streamline Salesforce data collection, develop actionable reports, and translate account demand signals into strategic insights to support informed decision-making and enhance business development strategies.
Design and implement scalable data architectures, develop and maintain ETL pipelines, automate HR data tasks, and enhance data quality while ensuring robust data governance and best practices are followed.
Develop and manage new business opportunities in healthcare, oversee customer sales cycles from engagement to contract execution, and deliver compelling presentations and proposals to drive partnerships and revenue growth.
Lead the architectural design of cloud-native data platforms, optimize distributed execution engines for large datasets, and implement security controls and automated compliance in regulated environments while collaborating within an Agile team.
Lead the design and implementation of AI-driven HR workflows, develop governance frameworks for AI models, and ensure compliance with data privacy regulations while enhancing operational efficiency across HR functions.
Provide technical leadership for telecommunications design in hyperscale data centers, coordinate project delivery, evaluate design alternatives, and mentor junior designers to ensure high-quality infrastructure solutions.
Lead the development of AI-enabled products, shape the AI roadmap through strategic partnerships, and champion responsible AI practices while driving adoption and continuous improvement across the product lifecycle.
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FAQs about remote data science jobs
How to get a remote data science job?
What skills are needed for remote data science jobs?
- Programming: Python or R for analysis and modeling
- Machine learning: algorithms, model tuning, and deployment
- Data wrangling: using SQL, Pandas, or NumPy to clean and organize data
- Data visualization: tools like Matplotlib, Seaborn, Plotly, or Tableau
- Statistics and probability: for analysis and model validation
- Communication: clearly explaining findings to non-technical stakeholders
- Version control: Git for collaboration on remote teams
