- Remote Data Science
Data Science
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1 to 50 of 8,733 for Data Science
Design and maintain reports and dashboards using business intelligence tools, analyze data trends, and support data validation efforts to ensure accuracy and integrity of information for operational decision-making and performance monitoring.
Lead the development of digital asset strategies, driving innovation in blockchain and crypto integration while collaborating across departments to identify growth opportunities and ensure alignment with enterprise goals.
Drive sensor adoption in the North American data center market, collaborate with sales teams to enhance product offerings, and manage customer forecasting to support timely product delivery and business growth.
Design and implement scalable cloud-based data platforms and pipelines, ensuring data reliability and quality while collaborating across teams to translate business needs into actionable data solutions and mentoring peers in engineering best practices.
Architect and enhance AWS infrastructure, improve deployment reliability and observability, and develop internal tools using React/TypeScript while contributing to backend architecture and maintaining production systems for optimal performance and...
Architect and maintain AWS infrastructure, enhance deployment reliability and observability, contribute to front-end tools, and support backend architecture decisions while improving overall system performance and developer experience.
Design and implement comprehensive data governance solutions, lead the documentation of safety and control requirements, and facilitate cross-functional sessions to ensure alignment and clarity on data management processes and regulatory compliance.
Design and implement comprehensive data governance solutions, document safety and control requirements, and facilitate cross-functional collaboration while ensuring compliance with regulatory standards and enhancing overall data management practices.
Architect and develop optimization frameworks for marketing investments, design constrained optimization solutions, serve as a technical authority on decision science, and partner with stakeholders to translate analytical results into actionable...
Architect and develop optimization frameworks for marketing investments, implement constrained optimization solutions, and collaborate with stakeholders to translate analytical results into actionable recommendations for marketing strategies.
Lead the development of a next-generation data architecture, ensuring high-quality data access across products, while collaborating with cross-functional teams to drive data quality, governance, and impactful metrics for continuous improvement.
Design and optimize cloud-native data solutions, translate business requirements into data models, and support data governance practices while collaborating with cross-functional teams to enhance data delivery frameworks.
Decompose complex systems and develop models to assess risk and performance, analyze unstructured data using AI tools, and collaborate with multidisciplinary teams to deliver high-quality technical solutions for cyber-physical systems.
Design and build data ingestion pipelines in Google Cloud Platform, utilizing big data tools. Ensure effective data management through lifecycle policies, access control, and schema evolution for optimal data consumption and exposure.
Leverage technical expertise to transform concepts into actionable insights, improve data integration and quality, assess data management technologies, and mentor team members in a fast-paced consulting environment.
Collect and manage clinical data for multiple databases, ensure data integrity and security, train staff on data procedures, and create documentation to facilitate systematic data collection and protocol management.
Monitor construction compliance, perform field inspections, oversee contractor performance, and manage payment processes to ensure project goals related to cost, schedule, and quality are met efficiently and effectively.
Lead the development of data models and ontologies, enforce standards for data consistency, and provide guidance on semantic conflicts to ensure effective governance and trusted data usage across the organization.
Drive Data Cloud sales by understanding customer objectives, developing strong relationships, managing the sales pipeline, and collaborating on successful client deployments to ensure satisfaction and growth within the life sciences sector.
Assist project managers by validating customer expectations, managing multiple projects, and serving as a liaison between stakeholders. Ensure timely project completion while exceeding customer service standards and maintaining quality documentation.
Support Data Science Infrastructure operations, develop AWS environments using CI/CD processes, manage large-scale environments for Data Science teams, and implement image management lifecycle processes to enhance operational efficiency.
Lead the design and maintenance of data pipelines, collaborate with data science teams to refine data requirements, and provide training on data preparation techniques to enhance data integration across the organization.
Oversee daily data center operations, lead technical teams, ensure incident response and compliance, and manage capacity planning while collaborating across functions for infrastructure upgrades and process improvements.
Collaborate with business teams to define requirements for data projects, translate business needs into technical specifications, and conduct data analysis to inform decision-making while ensuring alignment between stakeholders and technical teams.
Design and deliver scalable data solutions using Google Cloud Platform, translate business requirements into architecture patterns, and collaborate with cross-functional teams to influence enterprise data strategy and governance practices.
Analyze large datasets to extract insights, develop machine learning models, collaborate with teams to understand business needs, and communicate results and recommendations to stakeholders effectively.
Lead large-scale data center projects, managing scope, schedule, and budget while ensuring compliance with standards. Serve as the primary client contact and oversee multi-disciplinary coordination for successful project execution.
Drive national expansion in the Data Center sector by developing strategic growth plans, establishing key industry relationships, and providing technical expertise for project proposals and bids while ensuring operational excellence across multiple...
Lead data scientist responsible for advanced analytics, large-scale experimentation, and developing data-driven models. Conduct research on machine learning techniques and influence product teams with data-based recommendations for informed...
Coordinate cross-functional alignment, manage project timelines and dependencies, deliver clear communications to stakeholders, and track progress while driving accountability in a fast-paced, Agile environment.
Design and implement AI-driven systems to enhance digital platform reliability, monitor application performance, and collaborate with cross-functional teams for seamless machine learning integration and operational excellence.
Analyze operational and customer data to identify trends, develop dashboards for key metrics, and collaborate with various teams to support analytical needs and drive actionable insights for improved field operations.
Lead the development and integration of machine-learning models for pricing and profitability, provide thought leadership on pricing strategies, and synthesize analytical findings into actionable insights to enhance business outcomes.
Ensure marketing data accuracy by defining data quality strategies and implementing governance policies. Collaborate with teams to maintain data integrity and develop KPIs for actionable insights to enhance customer engagement.
Design and implement data acquisition systems, develop robust data pipelines, collaborate with engineers to define data requirements, and ensure secure management of test data while delivering actionable insights for system performance assessments.
Drive national growth in the Data Center sector by developing strategic plans, fostering client relationships, providing technical advisory, and tracking market trends to enhance business opportunities and project execution.
Lead the development and execution of a comprehensive digital, data, and AI strategy while driving innovation and collaboration across teams to enhance client experiences and measure the impact of AI initiatives.
Manage research and evaluation projects, coordinate team efforts, maintain relationships with project sponsors, and develop technical expertise in project methodologies and data analysis to support health policy initiatives.
Partner with actuarial and engineering teams to produce high-quality model documentation, ensure compliance with risk management standards, and manage documentation lifecycle activities while supporting multiple initiatives across the organization.
Lead model development for pricing, collaborate with cross-functional teams to implement machine learning solutions, and synthesize analytical findings into actionable business strategies to enhance profitability and decision-making processes.
Design and deliver data governance solutions, document and maintain safety and control requirements, and consolidate stakeholder inputs to ensure compliance and operational effectiveness across the organization.
Architect and develop marketing investment optimization frameworks, design constrained optimization solutions for decision-making, and collaborate with stakeholders to translate analytical results into actionable recommendations for marketing...
Support the analysis and modeling of complex systems, utilize statistical methods for data validation, and collaborate with multidisciplinary teams to deliver innovative solutions in cyber-physical systems and microelectronics.
Analyze performance trends and KPIs to support business objectives, collaborate with cross-functional teams to enhance data quality, and communicate insights through clear narratives tailored for leadership and technical audiences.
Oversee research agendas and manage a team of scientists to deliver insights on library trends. Facilitate collaboration across divisions and represent the organization in professional networks to enhance research visibility and impact.
Lead technical teams to deliver large-scale data initiatives, design scalable solutions using advanced technologies, and mentor engineering talent while driving product innovation based on customer challenges and industry trends.
Design and develop scalable data solutions while collaborating with team members to implement new features, optimize performance, and contribute to code reviews and documentation for effective problem-solving and system maintenance.
Lead the design and development of data storage APIs, provide technical mentorship to engineers, and drive modernization efforts for scalable, reliable service implementations within a collaborative team environment.
Oversee multiple accounts, ensuring exceptional culinary and hospitality experiences while driving operational excellence and financial performance. Build client partnerships and mentor teams to foster a culture of growth and innovation.
Monitor and analyze data quality across systems, implement data governance practices, collaborate with stakeholders to resolve issues, and develop reports to track data quality trends and improvements.
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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
