Data Scientist (gn)
| Hybrid
Ort | Hybrid
bedeutet, dass der Job teils an einem festen Standort und teils remote ausgeführt werden kann.
vor 1 Woche
Vollzeit
Englisch
Jahresgehalt
Dieses Gehalt wurde vom Unternehmen zu dieser Position angegeben.
Anstellungsart: Festanstellung
Berufserfahrung: 2 - 3 Jahre
IT & Softwareentwicklung
GoodCompany
- Hilf uns dabei, die Welt etwas besser zu machen!
Intro
We have big plans for Tomorrow. Our vision: to establish sustainable finance at the heart of society. But that's a hell of a lot of work - so let's get started.
As a
Data Scientist (gn)
at Tomorrow, you will be part of our data team and help us, as a company, to make even more data-driven decisions. Alongside a data engineer, an analytics engineer and an analyst, you will play an important role in our data team in planning, developing and implementing our first data science projects. To begin with, you will also work as an analyst with our stakeholders in order to gain an in-depth understanding of our KPIs and working methods. You enjoy working with statistics and have already worked independently on developing and overseeing data science projects in a corporate context.
Aufgaben
- Setting up and monitoring new forecasting and clustering models in close collaboration with the business units and data team
- Supporting our stakeholders in measuring and evaluating initiatives
- Promoting a company-wide data culture together with the data team
Anforderungen
What we're looking for
- You’ve already gained practical data science-related work experience, ideally in a corporate context
- You have a very good knowledge of forecasting and clustering models
- You are well versed in the use of Python and have good SQL proficiency
- You are familiar with the fundamental principles of software engineering
- You have a very good understanding and the relevant skills when it comes to the discussion, transfer and analysis of data
- You ideally already have basic experience with BI tools like Tableau or Power BI
- You are fluent in English
- You support the idea to create a better future for everyone by using money as a force for good
Benefits
What we offer
It will be fun too, we promise! Together with more than 100 like-minded colleagues, you will work every day to win people over to sustainable finance. Our culture is based on our values, our active new work philosophy and on clear, ambitious goals. But the best way to get to know us is to come and meet us and experience Tomorrow for yourself.
We want to give all employees at Tomorrow the opportunity to organize their personal life and working hours flexibly and in keeping with their own requirements. Working from home and mobile work are therefore integral parts of our remote-friendly work culture. At the same time, we believe in the huge advantages of meeting up and working together in person. Our fantastic office in Hamburg is the perfect space for this and available to you any time. We expect our future Data Scientist (f/m/x) to work on-site in our office 2-3 days each quarter. We will be happy to discuss all other details with you when we meet you (virtually) in person.
Bewerbungsprozess
What's the next step?
We'd like to welcome you to our community.
That is why we want to engage with you at eye level and invite you to come as you are - even if you think you don’t fit all the requirements yet.
If you're interested in working with us we need the following from you:
- Your resume, without photo or birth information
- Your salary expectations and earliest possible starting date
- A few sentences about your motivation to build the banking of tomorrow with us
Besides, we would appreciate it if you let us know how you would like to be addressed (pronoun / preferred name) so that we can take that into account throughout the application process.
GoodCompany
Tomorrow GmbH
Unsere nachhaltigen Ziele machen uns zu einer von GoodJobs ausgezeichneten „GoodCompany“.
- Hilf uns dabei, die Welt etwas besser zu machen!
Tomorrow GmbH
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