The Data Science Analyst designs and executes models and data products to improve academic and business outcomes. They leverage tools like SQL and Python to collect and model data sets and create dashboards via Power BI.
Remote Data Science Jobs (243)
Search = data science
Job category = Software Development
The Facilitator delivers high-quality academic support through live instructional sessions, video tutoring, and quality assurance reviews for Data Analytics students. They also mentor junior experts and collaborate with academic teams to improve curriculum and instructional delivery.
Experienced Data Science AI Engineer
Gainwell Technologies LLC
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Full Time
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8 Weeks Ago
Gainwell Technologies LLC
Design, develop, and deploy advanced AI and Generative AI solutions to improve healthcare outcomes and operational efficiency. This includes end-to-end model deployment, data engineering with large healthcare datasets, and ensuring compliance with HIPAA standards.
Lead and develop a team of data scientists and analysts to support Product, Marketing, Sales, and Customer Experience. Drive business value through behavioral analytics, revenue forecasting, and the management of an internal agentic data analytics platform.
Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations and automate clinical trial documentation generation. Design and develop predictive models and generative AI solutions using diverse healthcare data sources while ensuring compliance with regulatory requirements.
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The Facilitator is responsible for conducting live instructional sessions, supporting students through on-demand tutoring, and performing quality assurance reviews. They will also collaborate with mentors and academic teams to improve instructional delivery quality and contribute to curriculum enhancement.
Lead a team of data scientists to deliver Proof of Concept (PoC) projects for enterprise customers to demonstrate fraud-loss reduction. This player-coach role involves building ML models, conducting fraud analyses, and partnering cross-functionally to scale production-ready solutions.
Data Science & Business Analytics, praxisnah lernen, 100 % Remote (Weiterbildung)
DataSmart Point GmbH
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Internship
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9 Weeks Ago
DataSmart Point GmbH
Participants will undergo professional training to master data analysis, business analytics, and AI. Responsibilities include learning to build AI models, automate processes, and optimize business decisions using various data tools.
Lead presales solution design and value articulation for FICO Score solutions within the B2B Scores business. Partner with sales and client success teams to translate complex analytics into business value and ROI narratives for clients.
Act as the technical and analytical authority in presales to support the acquisition and expansion of FICO Score solutions for consumer lending clients. Translate complex analytics into business value and ROI narratives while designing solution configurations aligned with client needs.
Technical Program Manager 6 - Games Data Science & Engineering
Netflix
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Full Time
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9 Weeks Ago
Netflix
Drive end-to-end delivery of data platform programs, including telemetry pipelines, experimentation frameworks, and measurement infrastructure for Netflix Games. Act as the primary technical interface between data engineering teams and game studios to provide analytical tools and support.
Lead a high-performing team of data scientists to build forecasting models, data infrastructure, and analytics tools for financial planning. Drive the strategic roadmap and collaborate with cross-functional leaders to enhance data-driven decision-making across the company.
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.
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 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.
Data Analytics, Data Science & AI Weiterbildung mit IHK-Abschluss | 100 % Remote
DataSmart Point GmbH
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Internship
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9 Weeks 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.
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.
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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.
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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10 Weeks 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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10 Weeks 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.
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.
Lead and mentor a team of data scientists to drive product impact through statistical modeling, experiment design, and classifier implementation. Collaborate cross-functionally to optimize core metrics and improve data pipelines within a strict privacy-constrained environment.
Lead the design and operationalization of production-grade AI and machine learning solutions across insurance, investments, and charities. Oversee a technical team to deliver scalable, governed, and cost-effective AI systems including LLM-enabled analytics.
Lead a team of machine learning engineers and data scientists to develop and deploy styling algorithms and AI personalization experiences. Collaborate with cross-functional partners to optimize business objectives and oversee the end-to-end algorithm development lifecycle.
Lead the research agenda to identify fraud patterns and adversarial behaviors using a global identity graph. Translate complex data findings into strategic narratives for executives, regulators, and the broader market while managing a team of researchers.
Data Science AI Engineer, Advisor
Gainwell Technologies LLC
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Full Time
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10 Weeks Ago
Gainwell Technologies LLC
Design, develop, and deploy advanced AI and Generative AI solutions to improve healthcare outcomes and operational efficiency. This includes managing end-to-end deployment, data engineering, and ensuring compliance with HIPAA and industry standards.
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Lead a team of Data Science Engineers to develop sports analytics and prediction products. Transform business requirements into scalable ML solutions and maintain high engineering standards through hands-on coding and code reviews.
Support the development, training, and testing of time-series forecasting models for energy consumption and generation. Assist in building data pipelines and automating workflows using agentic AI to optimize energy management systems.
Support the development, training, and testing of time-series forecasting models for energy consumption and generation. Assist in building data pipelines and automating workflows using agentic AI to improve engineering productivity.
The Principal Data Science Engineer will work with airlines to leverage data for insights and predictions regarding customer behavior and operational performance. They will develop custom data models, collaborate with software engineers, and monitor data accuracy and model performance.
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