
Data Scientist @ Analyx
2 days ago
We expect from you:
- Strong analytical skills, as well as an understanding of data relationships.
- Hands-on experience in data analytics (at least 2 years in a similar role will be a great asset).
- Experience with R and packages (or other programming languages) for data preparation, visualization, and modelling.
- Advanced knowledge of MS Excel.
- Familiarity with econometrical and machine learning models.
- Ability to lead on analytical projects independently
- Mentoring and collaborating with junior data scientists
- Educational background: Mathematics, Econometrics, Statistics, Computer Science.
- Knowledge of English is required, knowledge of German will be appreciated.
At Analyx we provide analytical services for business since 2006. Our teams apply data science to marketing strategy by developing techniques to optimize marketing spend effectiveness, churn prediction, sales forecasting, and others. We use state-of-the-art marketing science methods and cast these into easy-to-operate software tools.
We are happy to welcome a new Data Scientist on a full-time basis to our Poznan team
We offer:
- Great atmosphere in a very experienced, supportive, international team.
- Working on pro-bono projects in collaboration with external institutions
- Individual training budget, internal knowledge exchange, language courses.
- Home office availability (up to 3 days a week).
- Annual salary review and bonus.
- Employee benefits (fitness card, private medical care, group insurance).
- Modern office in the city center.
- Annual company retreats and other events.
If you’re interested in the role and you meet the criteria, please send your CV in English.
,[Data integration and preparation,, Performing exploratory analysis to understand trends and patterns in data,, Defining and developing econometrical or machine learning models,, Maintenance, monitoring, and evaluation of ML models,, Evolving internal packages, for which you can bring in your own ideas,, Internal and client-side communication and preparation of main insights of the project.] Requirements: Data analytics, R, Excel, Machine learning, Data visualization, Data modelling, Analytical skills Additionally: Team Events, Sport subscription, Training budget, Private healthcare, International projects, Kitchen, Free coffee, Free lunch, Free beverages, Bike parking, Modern office, No dress code.-
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