Requirements

• 2-3 years experience in commercial Python development.
• Additional Python libraries from this list: Pandas, Numpy, SciKit-Learn, SQLALchemy, Matpotlib, Tornado, Keras, Tensorflow, psycopg2, Seaborn, plotly, Selenium.
• Experience in commercial development based on PostgreSQL DBMS.
• Knowledge of Django or Flask frameworks.
• Knowledge of mathematical statistics, including probability distribution, random processes.
• Knowledge and experience of applying modern methods of data analysis
• Ability to formulate and test hypotheses by statistical methods.

Responsibilities

• Development of descriptions of algorithms for loading and processing data, calculating factors, models for calculating the cost, forecasting models, assessing accuracy.
• Development of Python scripts that implement these algorithms.
• Implementation of web applications based on the Python framework.
• Integration of the developed Python scripts with the IT infrastructure of the analytical solution.
• Testing work on historical and live data.
• Analysis of forward quotes on commodity and financial markets, calculation of the expected future price, convenience yield.
• Analysis of logistics of commodity markets, construction and implementation of netback calculations.
• Building models for forecasting weather data.
• Qualitative and quantitative analysis of the impact of factors on price and volume indicators of energy markets using modern languages ​​and software for statistical analysis, including regression analysis, analysis of seasonality and trends, determination of stationarity.

Will be a plus

• Experience with AWS.
• Experience with MongoDB DBMS.
• Experience of integration with Tableau.
• Knowledge of the theory and practice of stochastic differential equations.
• Knowledge of the theory and practice of machine learning methods.
• Knowledge of methods for assessing the accuracy of predictive models.
• Experience in Bloomberg, Thompson Reuters and other market information systems.
• Experience with MS Visio.

What we offer

• Labor contract
• Work schedule from 9 to 18
• Vacation, sick leave – provided
• Salary is paid in local currency (UAH).