Position: Data Scientist
Company: HR Studio
Experience required: 2y
English level: intermediate

**PROJECT**
We are working on different solutions for all areas of activities, like sales, marketing, logistic with focus on commercial function.
Group of our enterprise BI systems has common architecture and goals.
**Scope:**
- Leverage data from multiple sources (SAP, DB’s, flat files, Data lake stores etc..)
- Data manipulation for analytics purposes
- Data exploration and discovery techniques
- Machine learning techniques
- Building AutoML framework for internal use in various use cases.
- Data visualization of ML output.

**YOU ARE**
If you are keen to work for one of the most dynamic and interesting companies in the world, to have challenge on regular basis and to visit our great locations around the globe – come and join us!  

**Perfect-fit candidate must have:**
- Solid experience in data exploration and analysis, ML algorithms, feature engineering, design and building ML models, AutoML concepts, ML model performance metrics.
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Classification, Clustering, Random Forest, Boosting, Trees, Text mining, etc.
- Strong knowledge in Python (TenserFlow, Pandas, NumPy, Keras, etc), Docker, R, T-SQL, 2+ years of practical experience.
- Hands on experience with productionalizing ML models.
- Hands on experience of cloud platforms, especially Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform(GCP)
- Experience visualizing/presenting data for stakeholders

**Will be a plus:**
- Experience with AutoML tools such as the DataRobot;
- Development experience in Azure Databricks Notebooks or Jupyter notebook.
- Knowledge of Agile/Scrum.

**TOGETHER WE WILL HAVE**
- Interesting environment with ability to communicate with people around the Globe;
- Great opportunity for self-development;
- Variety of interesting and challenging tasks;
- Friendly team with whom you can share fresh news and knowledge; 
- Flexible working schedule.