- Remote Data Science
Data Science
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1 to 50 of 8,089 for Data Science
Define and own the product vision and strategy for an AI-native product, lead cross-functional teams, and manage the full product lifecycle from concept to launch while ensuring user-centric design and seamless workflows.
Design and scale enterprise technology platforms, develop transformation roadmaps, and lead cross-functional teams in delivering digital transformation programs while translating technical architectures into business value for stakeholders.
Design and maintain scalable data architectures and pipelines, lead the integration of complex datasets, implement robust data models, and collaborate with cross-functional teams to develop data solutions that drive organizational capabilities.
Define and enforce system standards while documenting infrastructure designs. Collaborate with engineers to implement scalable solutions, mentor team members, and enhance operational performance through proactive management and technical guidance.
Support client projects in logistics and supply chain transformation by assessing current processes, designing future strategies, and developing performance tracking tools to enhance operational efficiency and continuous improvement.
Lead and execute complex data science projects to advance drug development, develop models for patient stratification, and collaborate cross-functionally to translate biological data into actionable insights for enhancing clinical trials.
Lead and manage health policy research projects, providing subject matter expertise while collaborating with stakeholders. Develop strategic plans, ensure project execution, and track progress to achieve milestones and deliverables in health care...
Lead a team of data engineers to develop and maintain a robust data platform, ensuring data quality and governance while collaborating with stakeholders to enhance operational reporting and advanced analytics capabilities.
Lead the delivery of custom technology solutions by transforming complex business needs into clear architectures and implementation plans, while guiding cross-functional teams and ensuring scalable, integrated solutions for supply chain operations.
Attract and secure top technical talent by managing end-to-end recruitment processes, partnering with leadership on hiring strategies, and leveraging AI tools to enhance sourcing and evaluation efficiency.
Design and develop Power BI dashboards and reports while building scalable data architectures. Collaborate with stakeholders to create trusted datasets and optimize reporting performance for enterprise-wide analytics initiatives.
Drive the design and deployment of AI solutions for biomedical insights and safety signal detection, develop predictive models for risk identification, and engineer scalable platforms to enhance operational efficiency and decision-making in patient...
Design scalable data pipelines, implement data quality systems, and analyze data impact on models. Develop data workflows and optimize ML models, collaborating with teams to enhance data engineering practices and model deployment.
Lead projects utilizing cloud technologies to address complex business challenges, provide technology expertise to enhance client value, and ensure scalable, optimized solutions while mentoring team members for continuous growth.
Lead the product strategy and roadmap for a cloud/SaaS data platform, define end-to-end data architecture, and collaborate with cross-functional teams to ensure alignment and successful adoption of data capabilities.
Lead the delivery of custom technology solutions, transforming complex business needs into clear implementation plans while guiding cross-functional teams to enhance supply chain operations and identify high-value AI use cases.
Conduct health policy research and analysis, produce written deliverables, manage project activities, and foster relationships with stakeholders to support health care transformation initiatives and policy development.
Manage complex health policy projects, conduct in-depth research and analysis, produce high-quality written materials, and engage with stakeholders to support health care transformation initiatives and disseminate findings effectively.
Bridge business needs with technical solutions by conducting process analysis and mapping, defining data sets for quality assurance, and collaborating cross-functionally to develop new data products and business processes.
Lead data engineering teams to solve complex business needs, ensure high-quality data pipelines, collaborate with cross-functional teams, and drive continuous improvement initiatives for automation and process optimization.
Lead the development of deep learning models for medical image analysis, design automated processing pipelines, and collaborate with clinical teams to integrate AI solutions that enhance drug development and patient outcomes.
Drive product development for new insurance offerings, prioritize customer insights, and iterate based on feedback. Own execution from concept to market fit while navigating operational complexities and ensuring impactful results.
Define and execute product strategy for data and integrations, prioritize customer needs, collaborate with cross-functional teams, and establish success metrics to drive product outcomes and enhance asset management solutions.
Lead the development of AI products by partnering with teams to validate new capabilities, enhancing product strategies, and translating customer insights into meaningful AI experiences that drive innovation and value.
Manage all aspects of data architecture, translating business requirements into data models. Guide data lifecycle governance, ensuring data accuracy and security while designing solutions that meet customer needs and performance expectations.
Lead the execution of an AI-first strategy, manage cross-functional teams, prioritize clinical needs, and consolidate diverse requirements to build a unified platform that enhances virtual patient care and improves health outcomes.
Lead the development of quality digital strategies, ensure data integrity and governance, implement continuous improvement initiatives, and maintain training compliance to enhance manufacturing and laboratory operations.
Design and manage high-impact experimentation programs, drive audience segmentation strategies, oversee the complete experimentation workflow, and evaluate results to deliver actionable insights that enhance client capabilities and maximize ROI.
Design and deliver complex technical solutions, including custom integrations and data pipelines. Lead technical projects and provide data architecture consulting. Build reusable code libraries and mentor consultants on technical problem-solving.
Lead and execute growth strategies for the Data Center service segment, drive revenue and profitability, develop high-performing sales teams, and build executive-level relationships to enhance customer reliability and asset performance.
Lead multiple project teams by managing scope, budget, and schedules while ensuring client satisfaction. Delegate tasks effectively and maintain project profitability through strategic planning and resource management.
Lead the assessment and design of enterprise IT architecture, develop transformation roadmaps, and architect cloud-based solutions while managing cross-functional teams to drive large-scale digital transformation in manufacturing and supply chain...
Build AI-enabled analytics solutions, translate prototypes into adopted solutions, and develop leadership skills through structured rotations across analytics, data science, and AI teams while leveraging modern AI tools to solve real healthcare...
Lead the implementation of privacy and data management programs, ensuring compliance with regulatory requirements while enhancing data governance and operational capabilities across product development and engineering teams.
Lead data governance and quality initiatives, architect analytics solutions, and mentor teams while aligning data strategies with organizational goals to drive transformational change across the enterprise data landscape.
Design and lead product experimentation programs to enhance adoption and retention. Build and deploy ML models to inform product decisions and collaborate cross-functionally to translate data insights into actionable business strategies.
Conduct legal research and analysis, communicate actionable insights, execute best practices for training data, and provide support to senior experts in developing advanced legal technology solutions.
Lead and manage data engineering teams to solve complex business needs, ensure high-quality data pipelines, and collaborate with cross-functional teams to support product delivery and continuous improvement initiatives.
Lead strategic partnerships with major AI companies, design voice data licensing frameworks, manage relationships with C-suite executives, and gather product feedback to enhance AI-driven voice applications.
Monitor and manage MVS zSeries and VM/VSE environments to ensure production processing meets service levels. Document incidents, facilitate communication with clients, and ensure adherence to operational procedures and change management protocols.
Develop and implement AI/ML analytic solutions to identify cybersecurity threats. Collaborate with stakeholders to analyze data sources and recommend remediation strategies to enhance security posture and mitigate risks effectively.
Develop and maintain operational data pipelines, collaborate with analysts to optimize data models, and promote data governance and security best practices while utilizing modern data management tools and techniques.
Develop AI solutions by applying data science and machine learning to healthcare challenges. Collaborate with cross-functional teams to transform concepts into prototypes, iterating based on user feedback throughout the product development lifecycle.
Lead and manage complex AI initiatives, ensuring alignment with business objectives and Responsible AI principles. Collaborate with cross-functional teams, track project health, and drive continuous improvement in AI governance processes.
Oversee tendering, project execution, and operational performance while driving growth through strategic implementation. Manage budgets, monitor key performance indicators, and ensure customer satisfaction and compliance with regulations.
Define enterprise architecture patterns for AI and data platforms, establish standards for scalability and compliance, and create reusable frameworks while guiding cloud infrastructure design and partnering with leadership on long-term strategy.
Lead a team to enforce data governance policies, oversee data audits for accuracy, and manage product hierarchy, ensuring compliance with enterprise standards for SKU and vendor data across various sales channels.
Design and implement enterprise data strategies, modernize data environments, and enable advanced analytics and AI capabilities while ensuring documentation and continuous improvement of the data ecosystem.
Lead teams in solving complex business needs, write advanced code, interact with product teams for delivery planning, and manage continuous improvement initiatives to enhance data engineering processes and product quality.
Lead strategic direction for upper funnel channels, manage complex agency relationships, and optimize marketing measurement. Drive workflow automation and AI integration to enhance marketing operations and foster cross-functional collaboration.
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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
