Junior Data Scientist (m/f/d)
Junior Data Scientist (m/f/d)
Vienna Vollzeit Berufserfahren 50.000-58.000 €
4,2
Vienna Vollzeit Berufserfahren 50.000-58.000 €
4,2
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Your tasks:
- Help to unterstand kununu data, identify trends and patterns, and develop new insights and product improvements from it.
- Improve kununu data by defining processes for cleaning, verification, enrichment and matching/mapping.
- Prototype, develop and improve prediction models and machine learning solutions to conduct experiments and support kununu product needs.
- Work with stakeholders all over the company to proposing solutions and strategies to tackle kununu business challenges.
- Working together with the teams of Data Engineers to bring your creations into production, and with the Engineering and Product teams to bring it in front of our users.
Your skills:
- A degree in Data Science, Computer Science, Statistics, Mathematics or a related field.
- Experience with Python or R (we work with python) and git (you're also good with SQL or the command line? That's a bonus!).
- Knowledge of general Data Science methods, concepts and machine learning algorithms (regression, classification, clustering, ... - you know the drill!). Know how to prompt an LLM to give you actionable answers is a plus.
- Familiarity with data analysis libraries (Pandas, NumPy & friends) and visualization tools (Matplotlib, Seaborn, ...).
- Willingness to learn new things and share knowledge with your peers.
- A drive to stay an the edge of modern Data Science and machine learning methods.
- Great English communication skills (we are a multinational team).
About the job
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Join kununu's Data Engineering and Sciences team as a Junior Data Scientist and learn what it's like to see a project come from idea to production, collaborate with fellow Data Scientists and help innovate our product features - along the way creating value for our users and helping them express themselves and find the job that they really want.
Your benefits
Mobile devices also for private use
Drinks, food & goodies
Sabbatical and part-time options
Remote work option
Trust-based working hours
Transparent, competitive salary
Bring your dog to the office
up to 12 weeks Workation
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Your contact person
You still got questions about the job.
Feel free to get in touch with us.
Leontina Morvay
Recruiting Manager
Contact me
Apply
Join kununu's Data Engineering and Sciences team as a Junior Data Scientist and learn what it's like to see a project come from idea to production, collaborate with fellow Data Scientists and help innovate our product features - along the way creating value for our users and helping them express themselves and find the job that they really want.
Your tasks:
- Help to unterstand kununu data, identify trends and patterns, and develop new insights and product improvements from it.
- Improve kununu data by defining processes for cleaning, verification, enrichment and matching/mapping.
- Prototype, develop and improve prediction models and machine learning solutions to conduct experiments and support kununu product needs.
- Work with stakeholders all over the company to proposing solutions and strategies to tackle kununu business challenges.
- Working together with the teams of Data Engineers to bring your creations into production, and with the Engineering and Product teams to bring it in front of our users.
Your skills:
- A degree in Data Science, Computer Science, Statistics, Mathematics or a related field.
- Experience with Python or R (we work with python) and git (you're also good with SQL or the command line? That's a bonus!).
- Knowledge of general Data Science methods, concepts and machine learning algorithms (regression, classification, clustering, ... - you know the drill!). Know how to prompt an LLM to give you actionable answers is a plus.
- Familiarity with data analysis libraries (Pandas, NumPy & friends) and visualization tools (Matplotlib, Seaborn, ...).
- Willingness to learn new things and share knowledge with your peers.
- A drive to stay an the edge of modern Data Science and machine learning methods.
- Great English communication skills (we are a multinational team).
Your benefits
- Mobile devices also for private use
- Drinks, food & goodies
- Sabbatical and part-time options
- Remote work option
- Trust-based working hours
- Transparent, competitive salary
- Bring your dog to the office
- up to 12 weeks Workation
Your contact person
You still got questions about the job.
Feel free to get in touch with us.
Leontina Morvay
Recruiting Manager
[email protected]