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Bratislava

Da­ta­ ­Sci­en­tis­t ­for ­Ge­or­ge (al­l hu­man­s)

Vollzeit
  • Home Office:Teilweise möglich
  • Einstiegsgehalt:No data
  • Berufserfahrung:>5 Jahre
  • Startdatum:Ab sofort
  • Befristung:Ohne Befristung
832 05 Bratislava, Slowakei1 month ago
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Make a difference in the financial life of millions of people: At Erste Digital you are co-creating the digital future, in which better financial health is possible.
#believeinyourself
We are part of Erste Group – the largest banking group in Central and Eastern Europe with more than 2,500 branches and over 45,000 employees. Our more than 2,000 IT experts and enthusiasts are the bank's Digital Muscle. Almost 10 million people across Europe organize their personal finances with George. Where design meets technology, George stands out on an open platform. We invite you to develop this platform with us into the next dimension. We achieve this by empowering people to understand, manage and, last but not least, enjoy one of their most personal things: their money. Join us in our agile environment and make banking simple, intelligent and personal again!

Dein Profil

  • MS/PhD in a quantitative discipline such as Statistics, Data Science, Mathematics, Physics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
  • Exceptional problem-solving abilities with experience in designing and implementing complex data science solutions.
  • 5+ years of experience using data science to solve business problems, with proficient Python coding skills and expertise in statistical analysis.
  • Experience with big data tools (e.g. Spark) and MLOps practices, including model versioning, deployment, and monitoring.
  • Experience with financial data and applications.
  • Experience with deep learning, LLMs, NLP and time-series modeling.

Deine Aufgaben

  • As a Data Scientist, working with central squads and local digital teams in business and IT, you will build data science products and contribute to bringing George to the next level.
  • You are eager to work with data, models, new technologies and value privacy and data protection principles.
  • You thrive in a dynamic working environment where agile is not only a mindset, but also a way of working and living.
  • Development of machine learning algorithms and models to address business challenges and improve product performance.
  • Collaborate with data engineers, software developers, and business leaders to understand requirements and design tailored solutions to meet complex business challenges.
  • Implement machine learning pipelines and workflows for feature engineering, model training, and evaluation.
  • Pioneer and explore novel data science methodologies, tools, and approaches to address unique challenges.
  • Stay updated with the latest advancements in machine learning, and apply them to improve our practices and solutions.
  • Communicate technical concepts and findings to both technical and non-technical audiences.

Unser Angebot

  • Possibility to benefit and learn from our international, talented and passionate community at Erste.
  • Interest groups and clubs: Take part in discussions and get involved in projects. Numerous interest groups invite you to engage with a topic.
  • Health Care – Taking care of your health is important. That’s why we contribute to your above standard medical examination and provide a helpline in case of hard lifetime situations. You also receive a salary compensation during sick leave.
  • Work-Life-Balance – Sabbatical, paternity leave, contribution to marriage & childbirth, 4 days of extra holiday per year, contribution to the 3rd pillar and MultiSport card. This is how we promote a balance between work, leisure, and family.
  • Employee Referral Program – Become a talent scout for career opportunities in IT. We are rewarding every successful referral for Erste Digital.

Zusätzliche Informationen

The way we are: Erste Group considers the diversity of its employees as key to innovation and success. As employer we are proud to offer everyone equal chances, irrespective of age, skin colour, religious belief, gender, sexual orientation or origin. Contact Silvia Suránová

Über Da­ta­ ­Sci­en­tists: Häufig gestellte Fragen

Was macht ein Da­ta­ ­Sci­en­tist?

Du kannst gut mit Computern umgehen, schreckst vor Zahlen nicht zurück und weißt, dass Java nicht nur eine Insel, sondern auch eine Programmiersprache ist? Du analysierst leidenschaftlich gerne: nicht nur die WhatsApp-Nachrichten der Ex-Freundin deines besten Freundes, sondern auch große Datenmengen, um logische Zusammenhänge herzustellen? Du interessierst dich außerdem für betriebswirtschaftliche Hintergründe und hast kein Problem damit, vor Leuten zu sprechen um deine Analyseergebnisse zu präsentieren? Dann ist dieser Beruf perfekt für dich. Als Data Scientist analysiert und ordnest du große Datenmengen. Dafür verwendest du Analysemethoden, um aus Zahlen Informationen und Statistiken herauszulesen und für Unternehmen verwertbar zu machen (Anzahl der Kundenaufträge, produzierte Produkte, Besucher auf einer Website usw.). Du bist Vermittler zwischen verschiedenen Ebenen und Abteilungen eines Unternehmens. Du “übersetzt” die Analyseergebnisse in Graphen und Tabellen und musst diese sowohl für die einzelnen Fachabteilungen, als auch für die Top Manager verständlich präsentieren.

Worunter sind Da­ta­ ­Sci­en­tists noch bekannt?

Da­ta­ ­Sci­en­tists sind auch bekannt als: Big Data Scientist, Datenwissenschafter*in, Datenwissenschaftler*in, Data Analyst, Data Scientist, Datenanalyst*in

Welche Skills benötigt man als Da­ta­ ­Sci­en­tist?

Um ihre Tätigkeit gut ausführen zu können, benötigen Da­ta­ ­Sci­en­tists grundsätzlich folgende Hard Skills:

Programmieren
Fachwissen in Monitoring-Tools (z.B. Google Analytics)
EDV-Anwendungskenntnisse
Kommunikationstechnik


Außerdem sollte ein Da­ta­ ­Sci­en­tist gewisse Soft Skills mitbringen:

Analytische Arbeitsweise

In welchen Tätigkeitsfeldern arbeiten Da­ta­ ­Sci­en­tist?

Da­ta­ ­Sci­en­tists arbeiten in der Regel in folgenden Tätigkeitsfeldern:

Arbeiten im Büro, Arbeiten mit Technik, Arbeiten am Computer