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
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 Data Center Engineering Operations Technician (EOT) is responsible for delivery of best practice systems and problem resolution on all data center electrical and mechanical infrastructure (UPS, MV electrical systems, generators, cooling systems etc.) within the data center environment in a specific location. You will report to the Data Center Engineering Operations Manager. Participation in the successful delivery of build-out and retrofit of Data Center infrastructure - Experience in data center engineering - 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 ...
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 Data Center Engineering Operations Technician (EOT) is responsible for delivery of best practice systems and problem resolution on all data center electrical and mechanical infrastructure (UPS, MV electrical systems, generators, cooling systems etc.) within the data center environment in a specific location. You will report to the Data Center Engineering Operations Manager. Participation in the successful delivery of build-out and retrofit of Data Center infrastructure - Experience in data center engineering - 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 ...
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…).
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.
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
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
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.
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.
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…).
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.
Was ist das Durchschnittsgehalt für Data Mining in Michendorf?
Durchschnittsgehalt pro Jahr
56.200 €
Das Durchschnittsgehalt für Data Mining in Michendorf liegt bei 56.200 €. Gehälter für Data Mining in Michendorf liegen im Bereich zwischen 49.700 € und 68.500 €.
Häufig gestellte Fragen
Wie viele offene Stellenangebote gibt es für Data Mining Jobs in Michendorf?
Aktuell gibt es auf StepStone 39 offene Stellenanzeigen für Data Mining Jobs in Michendorf.
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