Zur Unterstützung unserer datengetriebenen Initiativen im Versicherungsumfeld suchen wir eine/n erfahrene/n Data Scientist (m/w/d). Als Data Scientist (m/w/d) gestaltest Du aktiv ein zukunftsgerichtetes Kompetenzfeld mit und trägst dazu bei, unsere datengetriebenen Analyse- und Entscheidungsprozesse weiterzuentwickeln. * Mehrjährige Erfahrung im Bereich Data Science oder Machine Learning
Zur Unterstützung unserer datengetriebenen Initiativen im Versicherungsumfeld suchen wir eine/n erfahrene/n Data Scientist (m/w/d). Als Data Scientist (m/w/d) gestaltest Du aktiv ein zukunftsgerichtetes Kompetenzfeld mit und trägst dazu bei, unsere datengetriebenen Analyse- und Entscheidungsprozesse weiterzuentwickeln. * Mehrjährige Erfahrung im Bereich Data Science oder Machine Learning
Build and maintain reproducible pipelines to clean, harmonize, and integrate multi-modal data across waves and cohorts. * Integrate autonomic measures with neuroimaging and/or molecular data to probe mechanisms. * Strong applied statistics, including methods for longitudinal/ repeated-measures data (e.g., mixed-effects and growth-curve models, time-to-event, or related approaches). * Proficient programming and data-wrangling skills (e.g., R, Python) for building analysis pipelines on complex, multi-wave datasets. * Familiarity with spectral analysis and signal processing of heart rate/ ECG data (e.g., frequency-domain HRV). * Experience with MRI data (structural, functional, and/or related preprocessing pipelines). * Experience with proteomic data or other high-dimensional molecular datasets. * Experience harmonizing data across cohorts; familiarity with version control and reproducible-research practices.
Build and maintain reproducible pipelines to clean, harmonize, and integrate multi-modal data across waves and cohorts. * Integrate autonomic measures with neuroimaging and/or molecular data to probe mechanisms. * Strong applied statistics, including methods for longitudinal/ repeated-measures data (e.g., mixed-effects and growth-curve models, time-to-event, or related approaches). * Proficient programming and data-wrangling skills (e.g., R, Python) for building analysis pipelines on complex, multi-wave datasets. * Familiarity with spectral analysis and signal processing of heart rate/ ECG data (e.g., frequency-domain HRV). * Experience with MRI data (structural, functional, and/or related preprocessing pipelines). * Experience with proteomic data or other high-dimensional molecular datasets. * Experience harmonizing data across cohorts; familiarity with version control and reproducible-research practices.
Build and maintain reproducible pipelines to clean, harmonize, and integrate multi-modal data across waves and cohorts. * Integrate autonomic measures with neuroimaging and/or molecular data to probe mechanisms. * Strong applied statistics, including methods for longitudinal / repeated-measures data (e.g., mixed-effects and growth-curve models, time-to-event, or related approaches). * Proficient programming and data-wrangling skills (e.g., R, Python) for building analysis pipelines on complex, multi-wave datasets. * Must have experience working with one or more of the following types of data: MRI, fMRI, EEG, heart rate variability, or proteomics. * Experience with proteomic data or other high-dimensional molecular datasets. * Experience harmonizing data across cohorts; familiarity with version control and reproducible-research practices. * Support from a data collection staff team.
Build and maintain reproducible pipelines to clean, harmonize, and integrate multi-modal data across waves and cohorts. * Integrate autonomic measures with neuroimaging and/or molecular data to probe mechanisms. * Strong applied statistics, including methods for longitudinal / repeated-measures data (e.g., mixed-effects and growth-curve models, time-to-event, or related approaches). * Proficient programming and data-wrangling skills (e.g., R, Python) for building analysis pipelines on complex, multi-wave datasets. * Must have experience working with one or more of the following types of data: MRI, fMRI, EEG, heart rate variability, or proteomics. * Experience with proteomic data or other high-dimensional molecular datasets. * Experience harmonizing data across cohorts; familiarity with version control and reproducible-research practices. * Support from a data collection staff team.
Bundesanstalt für Materialforschung und -prüfung (BAM)
Berlin
Attraktives und modernes Arbeitsumfeld mit hervorragender Infrastruktur und Ausstattung auf wissenschaftlich neuestem Stand (Labore, BAM Data Store, High-Performance-Computing etc.)
Attraktives und modernes Arbeitsumfeld mit hervorragender Infrastruktur und Ausstattung auf wissenschaftlich neuestem Stand (Labore, BAM Data Store, High-Performance-Computing etc.)
Bundesanstalt für Materialforschung und -prüfung (BAM)
Berlin
Attraktives und modernes Arbeitsumfeld mit hervorragender Infrastruktur und Ausstattung auf wissenschaftlich neuestem Stand (Labore, BAM Data Store, High-Performance-Computing etc.).
Attraktives und modernes Arbeitsumfeld mit hervorragender Infrastruktur und Ausstattung auf wissenschaftlich neuestem Stand (Labore, BAM Data Store, High-Performance-Computing etc.).
with expertise in sleep physiology to lead the integration of polysomnography into our human research program and to analyze the resulting multimodal sleep data. The successful candidate will play a central role in establishing CAAN's capacity to characterize sleep with polysomnography and in connecting these data to our imaging, biomarker, and intervention work. * Sleep data analysis: Score sleep stages and arousals (manual and automated approaches) and supervise quality control of scoring across the team; develop and apply quantitative EEG analyses relevant to CAAN's aims, including slow-wave activity, spindle detection, slow-oscillation–spindle coupling, and spectral measures across NREM and REM; analyze autonomic activity during sleep, including heart rate variability, breathing and sleep-stage–specific changes in sympathetic/ parasympathetic balance; ...
with expertise in sleep physiology to lead the integration of polysomnography into our human research program and to analyze the resulting multimodal sleep data. The successful candidate will play a central role in establishing CAAN's capacity to characterize sleep with polysomnography and in connecting these data to our imaging, biomarker, and intervention work. * Sleep data analysis: Score sleep stages and arousals (manual and automated approaches) and supervise quality control of scoring across the team; develop and apply quantitative EEG analyses relevant to CAAN's aims, including slow-wave activity, spindle detection, slow-oscillation–spindle coupling, and spectral measures across NREM and REM; analyze autonomic activity during sleep, including heart rate variability, breathing and sleep-stage–specific changes in sympathetic/ parasympathetic balance; ...
Bundesanstalt für Materialforschung und -prüfung (BAM)
Berlin
Teilweise Home-Office
Attraktives und modernes Arbeitsumfeld mit hervorragender Infrastruktur und Ausstattung auf wissenschaftlich neuestem Stand (Labore, BAM Data Store, High-Performance-Computing etc.)
Attraktives und modernes Arbeitsumfeld mit hervorragender Infrastruktur und Ausstattung auf wissenschaftlich neuestem Stand (Labore, BAM Data Store, High-Performance-Computing etc.)
with expertise in sleep physiology to lead the integration of polysomnography into our human research program and to analyze the resulting multimodal sleep data. The successful candidate will play a central role in establishing CAAN's capacity to characterize sleep with polysomnography and in connecting these data to our imaging, biomarker, and intervention work. * Integrating polysomnography into CAAN studies: Design and implement standard operating procedures for overnight ambulatory and/or in-lab polysomnography across CAAN's longitudinal study and clinical trials, including montage selection (EEG, EOG, EMG, ECG, respiratory effort, airflow, oximetry, body position); lead vendor and device selection, validation against gold-standard systems, and integration of polysomnography data streams with CAAN's existing physiological pipelines (HRV, baroreflex, ...
with expertise in sleep physiology to lead the integration of polysomnography into our human research program and to analyze the resulting multimodal sleep data. The successful candidate will play a central role in establishing CAAN's capacity to characterize sleep with polysomnography and in connecting these data to our imaging, biomarker, and intervention work. * Integrating polysomnography into CAAN studies: Design and implement standard operating procedures for overnight ambulatory and/or in-lab polysomnography across CAAN's longitudinal study and clinical trials, including montage selection (EEG, EOG, EMG, ECG, respiratory effort, airflow, oximetry, body position); lead vendor and device selection, validation against gold-standard systems, and integration of polysomnography data streams with CAAN's existing physiological pipelines (HRV, baroreflex, ...
Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.
Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.
Data Analysis and Reporting: You collect and analyze EHS data for trends and improvement, ensure global reporting on incidents, near misses, and safety metrics, and provide transparent reporting to , including sustainability metrics.
Data Analysis and Reporting: You collect and analyze EHS data for trends and improvement, ensure global reporting on incidents, near misses, and safety metrics, and provide transparent reporting to , including sustainability metrics.
By using innovative digital solutions, we provide reliable data to optimize utilization and costs. You act as a to internal stakeholders and suppliers, driving transparency, process improvements, and data-driven decision-making across the procurement function. * Analyze procurement data to identify cost-saving opportunities and improve performance
By using innovative digital solutions, we provide reliable data to optimize utilization and costs. You act as a to internal stakeholders and suppliers, driving transparency, process improvements, and data-driven decision-making across the procurement function. * Analyze procurement data to identify cost-saving opportunities and improve performance
Erfolgreich abgeschlossenes Studium im Bereich (Online)Marketing, Digital Business Management, Medienwissenschaften, E-Commerce, Wirtschaftsinformatik, Data Science oder eine vergleichbare Qualifikation
Erfolgreich abgeschlossenes Studium im Bereich (Online)Marketing, Digital Business Management, Medienwissenschaften, E-Commerce, Wirtschaftsinformatik, Data Science oder eine vergleichbare Qualifikation
Erfolgreich abgeschlossenes Studium im Bereich Wirtschaftswissenschaften (BWL, VWL, Ökonomie), Business Administration, Business Management, Wirtschaftsinformatik, Mathematik, Statistik, Data Science oder einer vergleichbaren Fachrichtung
Erfolgreich abgeschlossenes Studium im Bereich Wirtschaftswissenschaften (BWL, VWL, Ökonomie), Business Administration, Business Management, Wirtschaftsinformatik, Mathematik, Statistik, Data Science oder einer vergleichbaren Fachrichtung
Als Teamkoordinator unterstützen und leiten Sie unser operatives Stammdaten-Team fachlich an, begleiten die operative Umsetzung der Data-Governance und sichern die exzellente Qualität unserer Systemlandschaft. * Sie setzen die Datenqualitäts- und Data-Governance-Strategie im gesamten Unternehmensverbund operativ durch und definieren sowie überwachen die Prozesse zur korrekten Datenfreigabe.
Als Teamkoordinator unterstützen und leiten Sie unser operatives Stammdaten-Team fachlich an, begleiten die operative Umsetzung der Data-Governance und sichern die exzellente Qualität unserer Systemlandschaft. * Sie setzen die Datenqualitäts- und Data-Governance-Strategie im gesamten Unternehmensverbund operativ durch und definieren sowie überwachen die Prozesse zur korrekten Datenfreigabe.
Als Teamleiter übernehmen Sie die volle disziplinarische und strategische Verantwortung für die Synchronisation von agiler Produktionsplanung und exzellenter Data-Governance. * Souverän steuern Sie die strategische Data-Governance und gewährleisten die absolute Qualität sowie Konsistenz aller materialwirtschaftlichen Stammdaten im lokalen ERP- und Global-MDM-System.
Als Teamleiter übernehmen Sie die volle disziplinarische und strategische Verantwortung für die Synchronisation von agiler Produktionsplanung und exzellenter Data-Governance. * Souverän steuern Sie die strategische Data-Governance und gewährleisten die absolute Qualität sowie Konsistenz aller materialwirtschaftlichen Stammdaten im lokalen ERP- und Global-MDM-System.
Bundesanstalt für Materialforschung und -prüfung (BAM)
Berlin
Teilweise Home-Office
Attraktives und modernes Arbeitsumfeld mit hervorragender Infrastruktur und Ausstattung auf wissenschaftlich neuestem Stand (Labore, BAM Data Store, High-Performance-Computing etc…).
Attraktives und modernes Arbeitsumfeld mit hervorragender Infrastruktur und Ausstattung auf wissenschaftlich neuestem Stand (Labore, BAM Data Store, High-Performance-Computing etc…).
Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.
Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.
ein abgeschlossenes Studium im Bereich Informatik, Wirtschaftsinformatik, Data Science, Automatisierungstechnik oder eine vergleichbare technische Qualifikation besitzen,
ein abgeschlossenes Studium im Bereich Informatik, Wirtschaftsinformatik, Data Science, Automatisierungstechnik oder eine vergleichbare technische Qualifikation besitzen,
We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. The AWS Environmental team is an expanding and dynamic team that is critical to enabling AWS's growth around the world, as well as ensuring compliance of AWS's global operations, including physical data centers, as well as other AWS facilities, customer-facing enterprises and products. - Experience in a data center or other critical environment, or experience in facilities management - Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our .
We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. The AWS Environmental team is an expanding and dynamic team that is critical to enabling AWS's growth around the world, as well as ensuring compliance of AWS's global operations, including physical data centers, as well as other AWS facilities, customer-facing enterprises and products. - Experience in a data center or other critical environment, or experience in facilities management - Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our .
Möchtest du mit uns den Wärmemarkt transformieren und durch den Einsatz von Big Data und selbstlernenden Heizsystemen einen echten Beitrag zur Energiewende leisten?
Möchtest du mit uns den Wärmemarkt transformieren und durch den Einsatz von Big Data und selbstlernenden Heizsystemen einen echten Beitrag zur Energiewende leisten?
Was ist das Durchschnittsgehalt für Data Mining in Zossen?
Durchschnittsgehalt pro Jahr
56.200 €
Das Durchschnittsgehalt für Data Mining in Zossen liegt bei 56.200 €. Gehälter für Data Mining in Zossen liegen im Bereich zwischen 49.700 € und 68.500 €.
Häufig gestellte Fragen
Wie viele offene Stellenangebote gibt es für Data Mining Jobs in Zossen?
Aktuell gibt es auf StepStone 34 offene Stellenanzeigen für Data Mining Jobs in Zossen.
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