Internship - Data Science Intern for SmartThings project

About our Team

We're highly specialized team in developing of modern tools for buildings environment control. Our solutions provide convenient and highly advance IoT technology for controlling human comfort and energy consumption efficiency of commercial and residential buildings. Our products are implemented globally and local business support team provides instantaneous contact with the market and excellence of our solutions.

If you are an open-minded and creative individual with a passion for ML and Data Science, we encourage you to apply.

• Data gathering, cleaning and analysis
• Development and testing of ML models
• Data visualization

• Programming & Frameworks: Python
• Database System: SQL
• Tools and frameworks: Git, GitHub, NumPy, Pandas, Scikit-learn, Keras/Tensorflow

• Good Python programming skills
• Knowledge about: Git, GitHub, SQL, Plotly, Dash, REST, web scraping
• Data science tools: Jupiter, NumPy, Pandas, Scikit-learn, XGboost, Keras/Tensorflow
•  Basic understanding of Data Science concepts (regression vs classification vs clustering, overfitting vs underfitting, MLP, RNN, CNN, etc.)

• Analytical thinking and quantitative reasoning
• NLP basics

·       Internship conditions:

o   Competitive salary

o   Flexible working hours

o   Possibility of long lasting cooperation

·       Team:

o   Possibility to learn from world-class experts in a friendly atmosphere

o   Opportunity to work in multiple projects

o   Multidisciplinary team (UX, UI, PO, Architects)

o   Weekly developers’ meetups named BUG about newest trends (frameworks, skills etc.)

o   Monthly integration budget

·       Equipment:

o   PC workstation/Laptop + 2 external monitors

o   OS: Linux, Windows

·       Benefits:

o   Variety of discounts (Samsung products, theaters, restaurants)

o   Free access to Copernicus Science Center for you and your friends

o   Chillout rooms

o   Variety of tea, coffee and fresh fruits/vegetables

·       Location:

o   Office in Warsaw Spire near metro station

o   Working in a hybrid model – 3 days from the office per week