- Remote Data Science
Data Science
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301 to 350 of 7,745 for Data Science
Design and develop data models to transform requirements into efficient structures, collaborate with stakeholders for data integration, and ensure data quality and compliance while optimizing performance for informed decision-making.
Develop advanced analytical solutions to support data-driven decision-making, translate complex data into actionable insights, and maintain KPI governance while collaborating with cross-functional teams to standardize analytical practices.
Lead analytics projects by researching and interpreting data to deliver insights. Collaborate with cross-functional teams to develop dashboards and enhance analytics tools, driving informed decision-making and business integration.
Oversee data center operations, manage inventory and logistics, coordinate vendor relationships, and conduct capacity planning to ensure efficient and reliable data center environments while maintaining compliance and safety standards.
Lead the design and execution of advanced marketing measurement strategies, provide analytic support for strategic initiatives, and manage analytical projects to optimize marketing effectiveness and drive revenue growth.
Own the roadmap for applied ML capabilities, define and deliver a DS/ML platform, translate customer workflows into ML problem statements, and drive evaluation and experimentation to ensure measurable business impact.
Lead the development and execution of project BIM Execution Plans, ensure model quality and coordination, and facilitate collaboration among project teams to meet deliverable expectations and resolve issues effectively.
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 development of data science frameworks to enhance marketplace efficiency and customer experience, while mentoring teams and driving architecture decisions for scalable machine learning systems that impact business outcomes.
Manage daily office operations, provide logistical support for events, maintain office supplies, and coordinate communications with building management and vendors to ensure efficient functioning and effective program assistance.
Lead product strategy and roadmap for a healthcare media platform, translating complex capabilities into customer-ready narratives, while driving go-to-market execution and aligning product priorities with measurable business outcomes.
Design and maintain scalable ETL pipelines using Python and Airflow, develop serverless workflows with AWS Lambda, and collaborate with teams to ensure high-quality data management and governance standards.
Cultivate strong customer relationships to drive product success, collaborate with internal teams on AI use cases, analyze data for insights, and communicate customer needs to enhance product development.
Support investment data systems by performing validation and quality checks, developing dashboards for analysis, and collaborating on research to generate insights for investment strategies while managing ad hoc data projects effectively.
Lead the growth strategy by building a high-value pipeline, engage C-suite executives with consultative solutions, and drive the end-to-end sales cycle to deliver impactful, innovative results for enterprise clients.
Drive revenue growth by managing the full sales cycle, cultivating senior-level agency relationships, and delivering tailored solutions that enhance measurement and analytics for independent agencies, while collaborating cross-functionally to ensure...
Lead the architectural migration of credit application logic to a cloud-native microservices environment, design a modular adjudication layer, and build robust APIs to support multi-channel experiences and dynamic A/B testing.
Develop and maintain fraud detection models, research new fraud types, and build foundational modeling for financial risk products while writing production-ready code for real-time decision making and collaborating across teams.
Identify data-driven improvement opportunities, collaborate on data analysis and reporting, structure large datasets for insights, and lead automation of data workflows to enhance overall data management processes.
Lead full-cycle recruiting across various corporate functions, partner with hiring managers to define role requirements, and manage the candidate experience while leveraging data to improve recruiting effectiveness and inform business decisions.
Define and implement a technology roadmap, architect a unified data ecosystem, and lead a high-performing team to enhance audience understanding and optimize media strategies through advanced measurement and AI solutions.
Lead the implementation of Salesforce Data Cloud, design scalable solutions, provide technical support to offshore teams, and develop data-driven strategies for audience targeting and personalized customer journeys.
Analyze complex data sets to identify trends and provide actionable insights, develop and maintain dashboards for cross-functional teams, and collaborate with leaders to address business challenges and support strategic decision-making.
Support analysis of counterparty creditworthiness and escalate issues, collaborate on data analytics solutions, and maintain policies while mentoring colleagues and managing complex inquiries effectively.
Analyze and track data analytics assets while collaborating with staff to create effective reports and dashboards. Participate in projects to enhance data solutions and improve data literacy within the university community.
Lead client reporting and measurement deliverables, ensuring accuracy and alignment with goals. Build strong client relationships and translate complex data into actionable insights while collaborating with internal teams to enhance reporting...
Contribute to the design and integration of system-level software for embedded devices, enhance OS components across platforms, and collaborate with cross-functional teams to resolve system-level issues and optimize performance.
Design and implement automation for AI solutions, architect reliable systems, deploy ML models into production, and mentor junior engineers while ensuring alignment with project goals and data requirements.
Lead search performance analysis across traditional and AI-led discovery, harmonize GEO initiatives with SEO workflows, and develop strategies to enhance brand visibility while collaborating with account teams and engineers.
Analyze large datasets to derive insights and ensure data quality. Collaborate with quantitative researchers and engineers to enhance trading strategies through robust data pipelines and validation metrics. Implement solutions for improved data...
Lead a high-performing team while ensuring data accuracy and integrity in investment accounting. Design scalable systems, implement governance frameworks, and drive business intelligence solutions for effective reporting and compliance.
Support the delivery of data-driven insights by conducting deep-dive analyses, managing client relationships, and coordinating quality assurance efforts while driving process improvements and enhancing data quality through collaboration and automation.
Manage client projects, analyze operations data, implement transportation solutions, and drive continuous improvements through data analysis and performance reporting to enhance client outcomes and operational efficiency.
Lead end-to-end EDI project implementations, ensuring accurate configuration and testing of ANSI X12-834 eligibility files. Serve as a primary contact for eligibility questions and troubleshoot complex data issues with stakeholders.
Support the design of role architectures and competency frameworks, contribute to structured talent selection processes, and assist in developing onboarding journeys and talent assessment solutions that drive impactful organizational change.
Lead a team to develop and implement AI platforms, ensuring alignment with strategic goals. Build AI architectures and integrate agents into existing systems while adhering to coding best practices for high-quality software development.
Analyze customer journey data to identify insights, develop data-driven hypotheses, create performance reports and dashboards, and collaborate with teams to enhance data accessibility and improve workflow efficiencies.
Lead the data science function by setting strategic direction, designing predictive models, and collaborating with cross-functional teams to enhance decision-making and strengthen organizational performance through data-driven insights.
Lead the development of a scalable data platform, collaborate with cross-functional teams to deliver cloud-based solutions, and mentor team members while driving continuous improvement in engineering practices and methodologies.
Lead the design and implementation of scalable web applications that operationalize data science products, define technical architecture, and collaborate with stakeholders to create intuitive applications that meet business objectives.
Utilize data science expertise to analyze complex data sets, develop algorithms, and create automated analytic software, while collaborating with clients to provide actionable insights for informed decision-making across various sectors.
Manage day-to-day CRM administration and workflows, ensure data integrity across revenue systems, and optimize lead and account data models to support efficient go-to-market execution and cross-functional collaboration.
Lead the development and implementation of enterprise AI strategy, establish AI-first practices across technology and business processes, and build a high-performing team to drive AI-enabled improvements and governance across the organization.
Develop AI strategies and solutions, conduct market research, and design custom analyses. Communicate findings to clients, collaborate with tech teams, and guide AI program development to drive business outcomes.
Manage the lifecycle of credit and non-credit data domains, ensuring data quality and alignment with business objectives. Design data schemas, monitor performance, and enhance data assets to maximize organizational value.
Lead the development and execution of a comprehensive procurement strategy, establish governance and sourcing processes, and drive supplier management while delivering financial and operational results across key business categories.
Lead end-to-end projects using cloud technologies, provide technology expertise to health plan clients, and ensure timely project delivery while mentoring team members for continuous growth and innovation in healthcare solutions.
Define and refine product positioning, develop go-to-market strategies, create sales enablement assets, and represent the product through storytelling to drive adoption and inspire belief in AI-driven solutions.
Enhance data analytics capabilities by designing solutions, collaborating with business units, and creating data models while promoting analytics standards and ensuring data accuracy for effective reporting and analysis.
Manage release pipelines across multiple platforms, oversee CI/CD automation, and collaborate with cross-functional teams to define release criteria and timelines, ensuring consistent and timely delivery of software products.
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
