- Remote Data Science
Data Science
Job Search Results
51 to 100 of 7,745 for Data Science
Analyze and resolve production incidents in mainframe and web applications, develop and maintain software using various technologies, and collaborate with cross-functional teams to deliver integrated IT solutions that meet business and compliance...
Lead the development of data-driven sales strategies for mortgage retention and acquisition, optimize lead distribution, and engage with business partners to align analytics with evolving business objectives.
Lead pricing analytics initiatives, enhance pricing accuracy, and drive profit improvement while managing a team of analysts. Foster collaboration across departments and innovate processes to integrate advanced analytical tools and AI capabilities.
Lead a multidisciplinary engineering team, fostering a high-trust culture while managing performance and career growth. Ensure timely delivery of projects, drive engineering quality, and enhance collaboration across diverse regions and teams.
Analyze actuarial pricing performance and develop key state metrics to support profitability. Communicate effectively for approvals and enhance analytical tools while fostering strong partnerships across various organizational functions.
Lead exploratory data analysis to identify predictive models, develop proofs of concept for interpretability, and mentor junior data scientists while ensuring solutions align with business performance and model validation.
Lead exploratory data analysis to identify predictive model opportunities, develop proofs of concept for model interpretability, and mentor team members while ensuring alignment with business objectives and model validation processes.
Leverage expertise in statistical modeling and business analysis to develop predictive models, mentor junior data scientists, and validate model performance while ensuring alignment with business objectives.
Develop and maintain relationships with healthcare professionals, provide scientific support for Nemolizumab, execute medical affairs strategies, and identify opportunities for data generation and disease awareness initiatives in assigned regions.
Lead the full lifecycle of data center projects, ensuring alignment with client goals and technical standards while managing budgets and schedules, and fostering strong client relationships through effective communication and delivery excellence.
Utilize analytical skills to transform complex data sets into actionable insights, develop predictive models, and collaborate with clients to address their data needs, ultimately driving informed decision-making across various sectors.
Analyze structured and unstructured data to develop algorithms and predictive models, collaborate with clients to address their needs, and transform complex data sets into actionable insights for informed decision-making.
Develop and enhance systems using next-generation technologies while translating customer needs into technical specifications. Collaborate within a team to deliver customer-focused engineering solutions that drive change and support national security...
Lead technical projects by developing sensor exploitation systems and algorithms, collaborating with multidisciplinary teams, and addressing mission requirements through innovative solutions in remote sensing applications.
Lead externally funded research programs, define technical roadmaps integrating formal methods, and foster cross-sector collaboration while mentoring junior staff and establishing thought leadership through publications and presentations in your domain...
Utilize analytical skills to develop algorithms and systems, analyze structured and unstructured data, and provide insights to clients, enabling informed decision-making and addressing complex global challenges through data science.
Utilize Systems Engineering skills to design and implement advanced software systems, analyze requirements, generate documentation, and support the software lifecycle, ensuring architectural integrity and traceability throughout development.
Apply machine learning and AI methods to improve operations, develop forecasting models to optimize supply chains, prototype generative AI solutions for automation, and translate complex data insights for non-technical stakeholders.
Apply machine learning and AI methods to enhance business operations, develop forecasting models for inventory optimization, and translate complex data insights for non-technical stakeholders across various functions.
Apply machine learning and AI methods to enhance business operations, develop forecasting models for supply chain optimization, and translate complex data insights for non-technical stakeholders, driving efficiency and informed decision-making.
Utilize analytical skills to transform complex data sets into actionable insights, develop algorithms and predictive models, and collaborate with clients to address their data-driven needs and enhance decision-making processes.
Utilize Systems Engineering skills to design and implement advanced software systems, analyze requirements from existing codebases, and develop documentation to ensure architectural integrity throughout the software lifecycle.
Collaborate with stakeholders to define AI objectives, design and govern AI architectures, and document strategic plans to align with business goals while ensuring compliance with governance and ethical standards.
Develop and support data products using SQL and Python, design CI/CD workflows, and collaborate with analysts to ensure best practices in data modeling while performing code reviews for quality assurance.
Lead the architectural integrity of a complex data platform, define scalable solutions for data integration, and ensure security and reliability. Collaborate with cross-functional teams to align architecture with business objectives and operational...
Lead the design and implementation of large-scale applications, migrate customer data platforms, and develop robust data pipelines while collaborating with cross-functional teams to ensure timely and quality delivery of solutions.
Take ownership of existing data solutions, maintain vendor-built tools and pipelines, and design new data engineering solutions while collaborating with stakeholders to ensure smooth knowledge transfer and enhance platform stability.
Provide data research services and instruction programs to support learning. Facilitate data management education, create learning materials, and advise faculty on data practices throughout the research lifecycle. Collaborate with library teams for...
Lead the development of innovative AI algorithms, collaborate with engineering teams to deploy scalable solutions, and conduct exploratory analysis on large datasets to deliver impactful insights that drive strategic business decisions.
Analyze data to identify trends and opportunities for new products, conduct qualitative and quantitative research to address unmet needs, and collaborate with internal teams to translate insights into actionable recommendations for product development.
Lead the development of large-scale AI applications, engage in technology evaluations, manage engineering teams, and drive innovative frameworks to enhance operational excellence and scalable solutions.
Design and develop scalable B2B/EDI integration solutions, collaborate with business units to translate data needs into technical specifications, and monitor integration performance to ensure reliability and efficiency across systems.
Lead the development of a scalable data platform, ensure reliable data management, and foster collaboration across departments to enhance data-driven decision-making while building a high-performing analytics team.
Lead AI strategy by developing machine learning models for healthcare applications, executing analytical experiments for improvements, delivering insightful reports, and coordinating collaboration between engineers and product analysts to drive...
Lead a high-performing team to optimize data workflows and system integrations, ensuring data integrity and governance while fostering collaboration across functions to drive operational efficiency and support strategic initiatives.
Design and maintain data management systems, enhance ETL pipelines, and collaborate with team members to ensure data quality and reliability while developing innovative solutions for data movement and transformation needs.
Lead the underwriting analytics product roadmap, collaborate with enterprise partners on solutions, and assess challenges with underwriting leadership to enhance efficiency and decision-making in underwriting workflows.
Design and implement AWS solutions while enforcing architecture standards, providing technical leadership to teams, and translating business requirements into architectural blueprints for cloud-based systems.
Coordinate the transition of Defined Contribution Plans by documenting and reviewing conversion data, ensuring completeness, and producing satisfaction reports for clients throughout the implementation process.
Manage and perform risk-based audits of technology systems, draft comprehensive reports, coach junior auditors, and build relationships with stakeholders to enhance internal controls and drive positive change in business performance.
Lead multiple project teams, manage client expectations, oversee project profitability, and ensure team alignment with skillsets and project needs. Provide updates on project milestones, budget, and schedule for successful project delivery.
Design and develop scalable integration solutions for B2B/EDI transactions, collaborate with business units to translate data needs into technical solutions, and monitor integration jobs to ensure reliability and performance.
Provide technical leadership, guide teams through engineering challenges, manage project budgets and schedules, and oversee deliverables in structural engineering for data center projects across the United States.
Plan and execute after-sales activities, maintain client relationships, facilitate technology adoption, and provide training and support for digital solutions in the food processing industry to enhance customer experience and satisfaction.
Plan, coordinate, and execute after-sales activities while maintaining strong client relationships. Provide training and support on digital solutions, ensuring customer satisfaction and effective adoption of new technologies in the food processing...
Lead a high-performing team to deliver actionable insights, oversee operations of the BI team, manage team performance and accountability, and collaborate with stakeholders to define strategies for BI initiatives.
Collaborate with teams to ensure data design aligns with business needs, oversee data migration activities, validate data quality, and create documentation for SAP S/4HANA implementations while engaging with stakeholders throughout the process.
Lead data-driven strategies to enhance customer retention and identify expansion opportunities. Develop advanced data models and provide actionable insights while collaborating with leadership to optimize key performance indicators.
Transform raw customer data into actionable strategies to improve retention and identify expansion opportunities. Partner with leadership to track key performance indicators and lead independent analytical projects with clear communication to...
Develop and implement data strategies in financial services, lead the adoption of new products, and manage data architecture utilizing technologies like MongoDB and Kafka Streaming to enhance data governance and orchestration.
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
