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
Magdeburg, Potsdam, Halle an der Saale, Leipzig, Wittenberg
Schnelle Bewerbung
200 kluge und engagierte Köpfe arbeiten in den Bereichen Vertrieb, Marketing, Data Warehousing & BI, Services, Support und Entwicklung an den innovativen Software-Produkten und BranchenIösungen aus unserem Haus, um uns noch erfolgreicher zu machen.
200 kluge und engagierte Köpfe arbeiten in den Bereichen Vertrieb, Marketing, Data Warehousing & BI, Services, Support und Entwicklung an den innovativen Software-Produkten und BranchenIösungen aus unserem Haus, um uns noch erfolgreicher zu machen.
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. The environmental engineer will support new site development in the Berlin, Brandenburg area, including environmental permit preparation, communication with the authorities and overseeing consultants helping with the permit preparation. The environmental engineer will work with internal and external that include government entities, contractors, consultants, design, construction, operations and other key stakeholders.
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. The environmental engineer will support new site development in the Berlin, Brandenburg area, including environmental permit preparation, communication with the authorities and overseeing consultants helping with the permit preparation. The environmental engineer will work with internal and external that include government entities, contractors, consultants, design, construction, operations and other key stakeholders.
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, ...
By linking technology and research, we make health data available to research in a comprehensive, digital and secure way. Our interdisciplinary team in Potsdam, Berlin and Singapore brings together experts from fields such as product development, digital engineering, data security and science.
By linking technology and research, we make health data available to research in a comprehensive, digital and secure way. Our interdisciplinary team in Potsdam, Berlin and Singapore brings together experts from fields such as product development, digital engineering, data security and science.
Du verfügst über ein erfolgreich abgeschlossenes Hochschulstudium der Informatik, Data Science, Wirtschaftsinformatik, des Wirtschaftsingenieurwesens oder eines vergleichbaren Studiengangs.
Du verfügst über ein erfolgreich abgeschlossenes Hochschulstudium der Informatik, Data Science, Wirtschaftsinformatik, des Wirtschaftsingenieurwesens oder eines vergleichbaren Studiengangs.
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
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…).
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,
In this pioneering initiative, we are developing the next generation of a sustainable data center with holistic sustainability operations (exploring energy efficiency, resource consumption, circular economy aspects, and beyond). We are exploring promising approaches such as sustainability-aware scheduling, photonics chips, federated heterogeneous clouds, and heat reuse from data centers to offices.
In this pioneering initiative, we are developing the next generation of a sustainable data center with holistic sustainability operations (exploring energy efficiency, resource consumption, circular economy aspects, and beyond). We are exploring promising approaches such as sustainability-aware scheduling, photonics chips, federated heterogeneous clouds, and heat reuse from data centers to offices.
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?
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.
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
Du hast Erfahrung im Aufbau und in der Modellierung von Datenstrukturen für BI-Systeme, einschließlich der Anbindung heterogener Datenquellen (ETL/ELT), Datenintegration und Konsolidierung in ein zentrales Data Warehouse bzw. einen Data Lake.
Du hast Erfahrung im Aufbau und in der Modellierung von Datenstrukturen für BI-Systeme, einschließlich der Anbindung heterogener Datenquellen (ETL/ELT), Datenintegration und Konsolidierung in ein zentrales Data Warehouse bzw. einen Data Lake.
Was ist das Durchschnittsgehalt für Data Consultant in Michendorf?
Durchschnittsgehalt pro Jahr
49.200 €
Das Durchschnittsgehalt für Data Consultant in Michendorf liegt bei 49.200 €. Gehälter für Data Consultant in Michendorf liegen im Bereich zwischen 44.100 € und 59.200 €.
Häufig gestellte Fragen
Wie viele offene Stellenangebote gibt es für Data Consultant Jobs in Michendorf?
Aktuell gibt es auf StepStone 37 offene Stellenanzeigen für Data Consultant Jobs in Michendorf.
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