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Expert Data Science/Analytics (m/f/d)

Berlin

Please apply here on „OFFICEbbb.de“ with the „Apply Now“ link/button at the top right.

Note: Please apply exclusively via our direct application link hosted by Empfehlungsbund and OFFICEbbb.de: https://en.officebbb.de/jobs/241038/expert-data-science-slash-analytics-m-slash-f-slash-d-in-berlin. We are looking forward to meet you!


Releases new energy - your commitment:
  • You work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • You mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • You assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • You develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • You coordinate with different functional teams to implement models and monitor outcomes.
  • You develop company A/B testing framework as well as processes and tools to monitor and analyze model performance and data accuracy.

Combines passion with know-how - your profile:
  • You have a graduate degree in Statistics, Mathematics, Computer Science or similar and at least 5 years of work experience as a Data Engineer.
  • You have Programming skills and experience with multiple languages: C, C++, Java, JavaScript, etc., as well as statistical and data mining techniques: GLM/regression, random forest, boosting, text mining, etc.
  • You know how to querying databases and using statistical computer languages for statistical computing: R, Python, SLQ, etc.
  •  You have experience using web services such as Redshift, S3, Spark, DigitalOcean, and creating and applying advanced machine learning and statistical algorithms: regression, simulation, scenario analysis, etc.
  • You provide experience visualizing/presenting data to stakeholders and analyzing third party data: Google Analytics, Site Catalyst, Adwords, etc.
  • You have experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • You have knowledge of various machine learning techniques (clustering, decision tree learning, etc.) and experience working with building data architectures.
  • You provide knowledge of advanced statistical techniques and concepts and experience with applications.
  • You also have strong communication and problem-solving skills and willingness to learn new technologies and techniques.
  • Fluently English and good German skills complete your profile. 

And this is how we back you up:
  • Arrival made easy: With the help of a welcome training and an orientation plan, we introduce you to your new tasks in a structured manner. A personal mentor will be at your side with help and advice.
  • Moving forward together: In a collegial atmosphere we live open communication, support each other and share our knowledge. In addition, we promote your professional and personal development with further training opportunities.
  • Your commitment pays off: We reward your commitment with fair remuneration based on international standards, consisting of a fixed and a flexible component - based on the achievement of objectives. On top of this, you can count on capital-forming benefits, a company pension scheme and accident insurance.
  • Work-Life-Balance: The compatibility of family and career is a major concern for us. So that there is enough time for the family away from work, you have 30 days of vacation per year at your disposal.
  • Good for body and soul: A wide range of health offers from our Q.CARE program, e.g. flu vaccinations or preventive medical checkups, ensure that you stay fit - because the well-being of our employees is close to our heart.
  • Mobile on all routes: We offer you flexible working hours and the possibility of mobile working. Well-equipped, barrier-free offices and meeting rooms complete the overall picture.
expert, Data, Science/Analytics, OFFICE, Englisch, A/B-Testing, Communication, Communications, analysis, Strategy, OFFICEbbb.de, Empfehlungsbund

This Job resp. positions as 'Expert Data Science/Analytics (m/f/d)' is vacant in following addresses: 10829 Berlin .

Short profile of Hanwha Q CELLS GmbH

Die Hanwha Q CELLS GmbH ist die deutsche Tochter eines der weltweit führenden Solarunternehmens, Hanwha Q CELLS Co. Ltd. und damit Teil der Hanwha Gruppe – eines FORTUNE® Global 500 Unternehmens sowie eines der acht größten Unternehmen Südkoreas. Q CELLS betreibt in Deutschland Standorte im Bitterfeld-Wolfener Ortsteil Thalheim und in Berlin. Mit dem globalen Zentrum für Technologie, Innovation und Qualität in Thalheim bildet die Hanwha Q CELLS GmbH das technologische Fundament für das weltweite Solargeschäft von Q CELLS. Rund 200 Experten in der Forschung und Entwicklung sowie im Qualitätsmanagement entwickeln hier Solarmodule und -systeme „Engineered in Germany“. So trägt die Gesellschaft in Deutschland wesentlich dazu bei, die Technologie- und Qualitätsführerschaft der Marke Q CELLS weltweit auszubauen.

Von Deutschland aus steuert das Unternehmen auch sämtliche Vertriebsaktivitäten in Europa – einem der wichtigsten Solarmärkte für das Unternehmen – und entwickelt von hier aus die Geschäftsmodelle für die Zukunft. So ist Q CELLS bereits heute Komplettanbieter von sauberen Energielösungen für Kommunen, Unternehmen und private Kunden in Deutschland und Europa: von Solarmodulen und -systemen, über Stromspeicher und Cloud-Lösungen, bis hin zu Stromverträgen für jedermann. Von Berlin aus betreibt Q CELLS außerdem sein Geschäft als einer der erfahrensten Partner für die Entwicklung, den Bau und die Finanzierung von großen Solarkraftwerken.


Durch die Communitys des Empfehlungsbundes konnten wir unsere Sichtbarkeit als Arbeitgeber in der Region deutlich erhöhen, was sich an der gestiegenen Anzahl qualitativ hochwertiger Bewerbungseingänge und letztendlich der neu gewonnen Mitarbeiter zeigt.

Ms. Ellen Lindner

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