Design and implement scalable data pipelines using Azure services and Databricks to optimize data processing and analytics. Collaborate with AI/ML teams to support RAG-based LLM applications while ensuring data security and governance.
Remote Data Science Jobs (197)
Search = data science
Job category = Software Development
The role involves driving data analytics strategy from design through implementation, acting as a trusted advisor to clients by developing analytics roadmaps and business cases. Responsibilities also include leading projects across various analytics divisions to solve business problems and managing client expectations, staffing, issues, and risks.
Lead a strategic healthcare initiative focused on STARS performance by driving cross-functional programs involving Machine Learning and Data Engineering. Translate business objectives into actionable delivery plans and scalable data-driven solutions to enhance operational efficiency.
Manager, Data Science - Global Finance
Johnson & Johnson Innovative Medicine
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Full Time
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18 hours ago
Johnson & Johnson Innovative Medicine
Develop end-to-end data science and Generative AI solutions to automate and improve decision quality within Global Finance and Compliance workflows. Build production-ready applications, APIs, and scalable pipelines to integrate AI insights into enterprise systems.
Design and implement AI-native agentic systems to extract and organize text and image information from historical records. Develop multi-agent workflows for complex reasoning and collaborate with ML Ops to deploy these solutions in cloud environments.
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Build and maintain data pipelines, models, and dashboards to transform data into actionable insights for product and business stakeholders. Partner cross-functionally to define metrics, measure customer engagement, and evaluate business initiatives.
Build and lead the Machine Learning and AI front, structuring models and processes to enhance user experience through dynamic personalization. Responsibilities include recruiting a data science team and integrating models into products and CRM to drive business metrics.
The consultant will refactor, optimize, and automate data workflows and reporting. This work will be performed using cloud-based platforms to improve analytics.
Lead consumer credit data science efforts by developing scoring, affordability, and behavioural models to optimize underwriting and pricing. Partner with product and engineering teams to embed decision logic into real-time systems and mentor squads on data-driven decision making.
Lead consumer credit data science efforts by developing scoring, affordability, and behavioural models to optimize underwriting and pricing. Partner with product and engineering teams to embed decision logic into real-time systems and mentor squads on data-driven decision making.
Associate Director, R&D Neuroscience Data, Data Science & AI - Ophthalmology
Johnson & Johnson Innovative Medicine
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Full Time
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2 Days Ago
Johnson & Johnson Innovative Medicine
Lead the execution of innovative strategies using AI, computer vision, and multimodal data to accelerate drug discovery in ophthalmology. Collaborate with cross-functional teams to develop digital biomarkers and integrate real-world evidence into clinical trial designs.
Director, R&D Neuroscience Data, Data Science & Artificial Intelligence - Ophthalmology
Johnson & Johnson Innovative Medicine
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Full Time
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2 Days Ago
Johnson & Johnson Innovative Medicine
Lead the development of AI/ML and computer vision strategies to uncover biomarkers and disease mechanisms in ophthalmology. Collaborate cross-functionally to integrate real-world evidence and digital endpoints into clinical trial designs and regulatory submissions.
The Clinical Data Science Lead serves as the primary contact for data review activities to ensure data is fit for analysis. Responsibilities include overseeing study lifecycles, managing timelines, forecasting budgets, and collaborating with cross-functional global groups.
Lead the data science, analytics, and data engineering efforts for venture start-ups, turning raw concepts into functional MVPs. Collaborate with product and engineering teams to design data pipelines and implement scalable AI/ML solutions.
Manage data management teams and programs for early phase clinical trials, ensuring delivery within budget and timelines. Coordinate with cross-functional teams to maintain data integrity and ensure compliance with regulatory guidelines.
Lead the Data Science team in building and maintaining models to automate and improve business decision-making. Oversee the full model lifecycle from POC to production while identifying new opportunities to enhance business performance.
Establish and scale enterprise AI, machine learning, and advanced analytics capabilities to improve operational efficiency and decision-making. Lead the development and operationalization of predictive models for forecasting, bidding, and scheduling across the organization.
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Data Analytics, Data Science & AI Weiterbildung mit IHK-Abschluss | 100 % Remote
DataSmart Point GmbH
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Internship
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3 Days Ago
DataSmart Point GmbH
Participate in a twelve-month training program focusing on data analysis, AI basics, and agile project management. Learn to create interactive dashboards and perform data analysis using SQL, Python, and Power BI.
Customer Marketing Data Science Specialist
Superior Plus Propane Talent Acquisition
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Full Time
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3 Days Ago
Superior Plus Propane Talent Acquisition
Lead end-to-end analytics initiatives to drive customer marketing strategy and business decisions. Translate complex data insights into actionable recommendations for non-technical stakeholders across the organization.
Lead the end-to-end delivery of Figma's Self-Serve Analytics initiative, including the semantic layer expansion and the Figma Data Assistant. Establish operational foundations for the Data Science organization and drive adoption through change management and governance.
Define and drive a data-driven analytics vision to optimize client customer acquisition and media performance. Translate complex data into actionable insights and measurement frameworks to quantify marketing ROI and impact.
Lead end-to-end analytical initiatives for the debit and credit card business, focusing on segmentation and propensity models. Translate complex data into strategic business insights and actionable recommendations for banking stakeholders.
Support the creation and maintenance of BI dashboards and reports to generate actionable business insights. Execute exploratory data analysis and build customer segmentation models within a dynamic BAU environment.
The role involves acquiring, cleaning, and processing complex datasets to build machine learning pipelines and sophisticated data dashboards. It also requires performing deep-dive data investigations to identify trends that support strategic business decisions.
Design and develop ETL pipelines and complex data transformations using SSIS and SQL. Create and maintain reports and dashboards using SSRS and Power BI to support data-driven decision making.
Build and scale advanced analytical models including time series forecasting and price elasticity while establishing the underlying data infrastructure. Translate complex mathematical outputs into executive narratives to drive commercial business decisions.
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Data Analytics, Data Science und AI. Deine Online-Weiterbildung mit IHK-Abschluss 100 % (Remote)
DataSmart Point GmbH
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Internship
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5 Days Ago
DataSmart Point GmbH
Participate in a twelve-month training program focusing on data analysis, AI basics, and agile project management. Learn to create interactive dashboards and perform data analysis using SQL, Python, and Power BI.
Data Science & Business Analytics (IHK) (m/w/d) - 100% Remote (Weiterbildung)
DataSmart Point GmbH
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Internship
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5 Days Ago
DataSmart Point GmbH
Participants will undergo training to analyze business processes, build AI models, and automate processes. The goal is to acquire practical skills in data science and business analytics to prepare for a professional career.
Develop algorithms, models, and data products to derive insights from healthcare claims and enrollment data for decision makers. Responsible for training junior analysts and ensuring the integrity of data used for financial trending and utilization analysis.
Implement and maintain AI solutions for the 'Factory of the Future' across 20 industrial sites to improve efficiency and data management. Design AI-driven tools for predictive maintenance and quality control while collaborating with local teams for adoption.
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