- Remote Data Science
Data Science
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201 to 250 of 7,745 for Data Science
Support daily systems management and maintenance of data center infrastructure, provide technical guidance, and ensure compliance through routine audits, while collaborating on the implementation of new technologies to meet organizational demands.
Develop and execute a comprehensive data strategy, oversee scalable data architecture and integration, establish data governance policies, and drive AI initiatives to enhance operational efficiency and competitive advantage.
Own and maintain IPS data and systems, design reporting and dashboards for leadership, generate insights from data, and drive continuous improvement initiatives to enhance service readiness and operational efficiency.
Lead product vision and roadmap for autonomy capabilities, communicate priorities to diverse audiences, synthesize technical insights into requirements, and drive strategic decisions with stakeholders to achieve impactful outcomes.
Design and implement LLM-powered AI features and systems, develop evaluation frameworks to measure AI output quality, deliver production-quality AI solutions for clients, and contribute to internal AI engineering practices through knowledge sharing and...
Lead the development of embedded software for surgical navigation systems, ensuring compliance with regulatory standards while mentoring teams, managing project risks, and driving innovation for high-quality delivery and system performance.
Architect and implement cloud platforms, design scalable infrastructure solutions, collaborate on process improvements, and provide operational support to ensure high availability and performance in a large-scale data processing environment.
Research and process contact information changes, identify and merge duplicate contacts, and maintain the integrity of the CRM database while ensuring attention to detail and effective time management in a collaborative environment.
Coordinate patient registrations and medical record requests, track documentation for care coordination, and support administrative workflows to ensure efficient operations and accurate information access across clinical teams.
Design and implement scalable ETL pipelines using AWS Glue and PySpark, optimize data processing jobs, and ensure data quality while collaborating with cross-functional teams to meet organizational data needs.
Design and develop scalable ETL pipelines using AWS Glue and PySpark while ensuring data quality and optimizing performance. Collaborate with cross-functional teams to meet business needs and mentor junior engineers.
Lead measurement science initiatives, develop and validate advanced models, recruit and mentor data scientists, and translate complex analytics into actionable insights for clients, enhancing product offerings and strategic direction.
Lead data product management for G&A functions, shaping strategy and operating models. Engage stakeholders to align product requirements, coordinate cross-functional execution, and establish data quality standards to enhance data discoverability and...
Lead the development of an enterprise data lake and integration strategy, ensuring alignment with organizational goals, while overseeing the design and evolution of scalable data solutions that drive business growth and efficiency.
Engage with key stakeholders to advance understanding of epilepsy and rare syndromes, provide scientific exchange, and generate medical insights to inform strategies that enhance patient care and support research collaborations.
Manage a team of analysts and data scientists to enhance business performance through data insights. Lead the implementation of data strategies and create algorithms to identify patterns in structured data.
Define data product strategy to enhance marketing and customer experience outcomes, drive AI-enabled product evolution, and own commercialization strategies for data-driven offerings, ensuring alignment with client needs and measurable success.
Define technical vision for marketing AI platforms, build scalable production-grade systems, lead design of orchestration patterns, and collaborate with cross-functional teams to deliver high-value use cases and solutions.
Assist with capital project oversight, manage due diligence processes, oversee third-party reports, and ensure project compliance with budgets and timelines while leading on-site activities and stakeholder meetings.
Lead media effectiveness initiatives, translating client objectives into strategic research designs, while overseeing complex studies and synthesizing data into actionable insights to guide decision-making and media planning.
Define and execute the strategy for simulation evaluation applications, drive a unified platform roadmap, and lead cross-functional teams to enhance testing workflows and customer insights for autonomous vehicle features.
Manage engineering data governance and quality, ensuring alignment between ECAD and MCAD systems. Create and maintain approved libraries and templates while supporting release readiness and continuous improvement in data processes.
Coordinate daily patient registrations, track outstanding records for care coordination, support administrative workflows, and partner with teams to resolve operational issues, ensuring efficient processes and accurate information management.
Support business management activities including forecasting and budgeting, analyze data for trends and risks, and develop actionable insights through reporting and visualization to enhance decision-making across teams.
Develop and maintain AI-driven applications supporting engineering teams, optimize SQL queries for data transformation, and mentor fellow engineers while promoting best practices in software development and data integration.
Analyze large-scale manufacturing data to identify trends and performance drivers, build analytical models and dashboards, and apply machine learning techniques to support operational teams and translate business problems into analytical solutions.
Design and develop AI agents to automate knowledge work, integrate AI services with enterprise systems, and establish performance monitoring frameworks to enhance decision-making and productivity in a complex environment.
Lead the design and development of AI solutions, ensuring ethical standards and transparency. Collaborate with business teams to integrate AI into workflows and guide the strategic execution of impactful data science initiatives.
Oversee architecture and engineering for AI platforms, develop backend APIs in Python, and collaborate with cross-functional teams to enhance enterprise AI capabilities and drive innovation aligned with technology roadmaps.
Design, build, and maintain data infrastructure while ensuring data accuracy and accessibility. Collaborate with stakeholders to optimize data pipelines and implement data validation processes for reliable reporting and insights.
Research user needs and recommend data processing improvements. Develop and implement systems projects, producing reports and training materials. Serve as a liaison for software changes and problem resolution in healthcare data integration.
Manage day-to-day data governance and management efforts, ensuring data quality and compliance. Collaborate with cross-functional teams to develop and implement metadata management practices and drive a culture of data accountability within Finance.
Design and implement data models while collaborating with stakeholders to gather requirements. Maintain data integrity and optimize performance of data infrastructure, ensuring efficient and secure data accessibility for analysis and reporting.
Architect and deliver advanced AI systems, define standards for prompt engineering, lead deployment of AI solutions, and ensure compliance with healthcare regulations to optimize operational efficiency and enhance user experiences.
Act as the primary client liaison, ensuring effective cost management while leading scope delivery and coordinating with project teams. Prepare and present updates, develop cost estimates, and manage change orders throughout the project lifecycle.
Serve as a subject-matter expert on Agentforce and Data Cloud, optimize technical architecture for strategic customers, and facilitate discussions with stakeholders to align technology strategies with business value and ROI.
Develop and standardize PLC logic for data parsing, support DLA controls architecture implementation, ensure compliance with standards, and collaborate with cross-functional teams to deliver effective manufacturing solutions and continuous...
Lead product vision and roadmap for autonomy capabilities, communicate priorities to diverse audiences, synthesize technical insights into requirements, and partner with cross-functional teams to achieve strategic goals and drive innovation.
Design and develop data pipelines and models while ensuring data quality and integrity. Build and maintain data infrastructure for analytics, implementing security protocols and participating in data governance standards.
Collaborate with manufacturing teams to meet quality requirements, analyze customer feedback for improvements, and support process enhancements through methodologies like Lean Six Sigma, ensuring compliance with regulations and guidelines.
Lead the integration of AI/ML into engineering tools, translating complex needs into actionable solutions while collaborating with cross-functional teams to enhance simulation frameworks and establish engineering best practices for robust AI systems.
Lead the architecture and engineering for agentic AI platforms, develop backend APIs in Python, and collaborate across teams to drive innovation and set technical standards for AI infrastructure and services.
Conduct assignments within established guidelines, supervise projects from conception to successful outcomes, train less experienced employees, and recommend procedural changes while collaborating with business partners to enhance performance insights.
Support project teams by scheduling meetings, documenting action items, and maintaining internal documentation. Assist with onboarding new users to Salesforce and serve as a point of contact for questions throughout the project lifecycle.
Input healthcare data accurately, manage accounts needing clarification, maintain confidentiality, and assist with additional projects while ensuring quality and production goals are met consistently.
Design and maintain data architecture while developing robust data pipelines. Collaborate with stakeholders to gather requirements and implement business intelligence solutions, ensuring data efficiency and integrity across systems.
Lead the design and development of innovative AI solutions, ensuring responsible practices and collaboration with business teams. Oversee complex machine learning models and integrate them into production systems for enhanced healthcare outcomes.
Drive the vision for scalable game services, collaborate cross-functionally to identify product opportunities, and manage the full lifecycle of major tech feature development to optimize user experience and performance.
Gather and preprocess data from various sources, analyze data characteristics through visualization, and present findings to stakeholders, ensuring compliance with ethical standards and collaborating with domain experts for impactful program...
Lead the strategy and execution of a scalable specialty pharmacy platform, collaborating across teams to transform offerings, engage with health systems, and drive product performance while ensuring compliance and quality.
Work Model
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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
