- Remote Data Science
Data Science
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1 to 50 of 8,052 for Data Science
Manage full recruiting administration, oversee onboarding experiences, maintain accurate employee data, and support employee recognition programs to enhance engagement and streamline HR operations through intelligent automation.
Manage billing and accounts receivable functions, ensuring timely invoicing and collections. Reconcile financial records, support junior team members, and collaborate with cross-functional teams to enhance financial operations and accuracy.
Develop and maintain dashboards and reports, analyze data for actionable insights, and support data stewardship practices to ensure data quality and compliance across business operations and shared services initiatives.
Design and maintain data management frameworks, integrate AI and ML solutions for cybersecurity, and support data analytics activities to enhance oversight and improve program deliverables within a nationwide public safety network.
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.
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.
Support the management of credit and non-credit data domains, monitor data quality, assist in data schema design, and collaborate with stakeholders to enhance data usability and accessibility for business priorities.
Lead the design and implementation of secure external collaboration within the Microsoft cloud ecosystem, focusing on identity controls, security architecture, and compliance with regulatory requirements to enhance client engagement and data...
Develop AI/ML tools based on customer needs, engage with stakeholders, and lead innovative methods to enhance risk assessments while documenting designs and providing tool demonstrations to ensure effective solutions.
Design, develop, and maintain scalable data pipelines while analyzing complex humanitarian datasets to produce actionable insights. Collaborate with stakeholders to support data-driven decision-making and enhance operational efficiency in humanitarian...
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...
Provide strategic leadership for AI platform execution, inspire a high-performing team, and design AI-powered solutions to address healthcare challenges while ensuring operational excellence and ethical AI practices throughout the development...
Engage and develop client relationships through policy consultation, lead payment model operations, conduct financial analysis, and mentor staff to enhance their technical and analytical skills in healthcare data consulting.
Develop and maintain interactive dashboards and visual analytics solutions, deliver training materials and workshops, and support initiatives to enhance data literacy and decision-making capabilities within the organization.
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...
Design, build, and maintain scalable data pipelines while ensuring data quality and compliance. Collaborate with cross-functional teams to translate business requirements into technical solutions within federal data systems.
Drive innovative, customer-informed solutions for data enrichment and access products, create engaging presentations for executives, and support strategic initiatives to expand product availability in global markets.
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.
Lead technical discovery with U.S. Government clients, translating challenges into solution approaches, designing impactful demonstrations, and creating clear artifacts to facilitate understanding and alignment with mission objectives.
Lead technical discovery engagements with U.S. Government customers, translate complex challenges into structured solutions, and design compelling demonstrations that illustrate platform value while ensuring alignment with mission priorities.
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.
Lead product capability development, collaborate with cross-functional teams to translate requirements into solutions, drive innovation through research and customer engagement, and ensure operational readiness and scalability of offerings.
Design and implement machine learning algorithms, develop prototype solutions utilizing generative and predictive capabilities, and serve as a subject matter expert to enhance insights for government applications.
Conduct data mining, preparation, and analysis to support complex questions. Assess data accuracy and document findings. Collaborate with teams to deliver analytical capabilities and develop data-driven reports and visualizations.
Lead the deployment of AI/ML models into production environments, optimize model training pipelines for real-time execution, and collaborate with cross-functional teams to enhance model health monitoring and integration processes.
Oversee daily operations and customer support at the data center, serve as the primary escalation point for issues, and drive process improvements while ensuring operational excellence and adherence to standards.
Lead cross-functional teams to develop strategies and implement actions for a pipeline of opportunities, establish and maintain customer relationships, and analyze customer information to inform business growth and competitive analysis.
Lead cross-functional teams to develop strategies for business growth, establish relationships with customers, analyze requirements, and articulate innovative solutions to enhance communications in contested environments.
Design and implement custom AI/ML software solutions, collaborate in prototyping teams, analyze project-related challenges, and actively engage in agile delivery phases to ensure timely release of high-quality applications.
Drive product strategy and execution for software capabilities within a counter-drone platform, collaborating with cross-functional teams and engaging customers to enhance product features and ensure alignment with market needs.
Oversee AI security architecture, enforce governance standards, and manage risk assessments to ensure compliance and protect data integrity across AI systems while integrating threat models into enterprise cybersecurity frameworks.
Utilize data science expertise to analyze complex data sets, develop algorithms, and create visualizations, guiding clients in making informed decisions to address global challenges across various sectors.
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 execute search strategies to recruit specialized technical and sales talent, maintain relationships with hiring managers, and conduct candidate screenings to ensure qualifications align with organizational needs.
Lead technical solution strategy and proposal development for AI/ML initiatives, engage with customers to understand needs, and create architectural models and staffing plans to ensure successful project execution.
Build and optimize ETL pipelines for efficient data transfer, support various data transport mechanisms, and collaborate with teams to ensure secure and compliant data workflows while troubleshooting performance issues.
Design and maintain a pursuit intelligence platform by integrating various data sources, communicate solution designs effectively, and support product lifecycle activities to align data architecture with business needs.
Prepare financial analyses of lateral hire candidates, enhance financial processes through automation, and track post-hire performance against benchmarks, providing insights for decision-making and profitability improvements.
Serve as a trusted advisor on data engineering solutions, design and maintain data pipelines using cloud technologies, and provide technical leadership while collaborating with teams to align solutions with customer needs.
Serve as a subject matter expert on market performance drivers, lead benchmarking data submissions, and partner with stakeholders to enhance business performance insights and support strategic decision-making initiatives.
Utilize data science expertise to analyze complex data sets, develop predictive models, and lead teams in delivering actionable insights, ultimately guiding clients in making informed decisions based on data-driven findings.
Design and implement custom AI/ML software solutions while collaborating with prototyping teams. Analyze complex problems to create innovative technology solutions and actively participate in agile delivery phases and ceremonies.
Execute data remediation and classification initiatives, implement automated governance policies, ensure compliance with retention schedules, and generate technical documentation to support data protection and defensible deletion processes.
Design, build, and operationalize data pipelines and integration processes. Implement Azure-based data solutions and warehousing. Ensure data quality and reliability. Collaborate cross-functionally to deliver sprint-based data solutions.
Develop and maintain computer vision pipelines, implement facial matching workflows, and support object detection and geolocation capabilities, while collaborating with cross-functional teams to enhance user-facing applications through advanced image...
Lead the development of technical solutions and proposal strategies, analyze RFI/RFP requirements, engage with customers to identify needs, and create compelling narratives and artifacts to support successful proposals.
Provide technical leadership in developing data products, perform exploratory data analysis, create data APIs, and operationalize solutions within cloud platforms while mentoring junior engineers and collaborating with stakeholders to define technical...
Own the data platform infrastructure, ensuring security and performance. Collaborate on data tooling decisions, improve data source reliability, and document systems to create a foundation for future development and stakeholder empowerment.
Design, develop, and deploy AI-powered solutions to tackle complex challenges, automate infrastructure, and ensure high-quality software performance while collaborating with cross-functional teams to enhance consumer healthcare experiences.
Lead the design and implementation of cloud-based data architectures, build and maintain scalable data pipelines, and provide technical leadership to ensure data reliability and performance across enterprise data needs.
Work Model
Contract Type
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
