Необхідні навички

• Good knowledge of the probability theory and statistics
• Understanding of Bayesian methods, MCMC
• Hands-on experience with probabilistic programming (Pyro, PyMC3, JAGS, or similar)
• Experience with cloud (Amazon SageMaker) is required
• Experience with modeling of complex processes using Monte Carlo simulations
• Experience with time series analysis using traditional (e.g. ARIMA) and deep learning (e.g. LSTM) methods
• Experience with basic ML/data science libs and tools (python, scikit, NumPy, pandas, seaborn, Jupiter, etc)
• Experience with deep learning libraries (Keras, PyTorch, TensorFlow)
• Hands-on experience with data preparation, cleansing, feature engineering, and visualization
• Strong working knowledge of SQL, Teradata preferred
• Good communication skills and interpersonal skills.
• Experience in working across different global cultures is a plus.
• Ph.D. in Mathematics will be a plus.

Обов’язки

• Design a new solution architecture for customers clusterization and prediction analysis.
• Drive the collection, cleaning, processing and analysis of new and existing data sources.
• Develop and test ML models using Python/Keras/Tensorflow/Spark stack.
• Communicate with business stakeholders to clarify their requirements and present the teamwork results

Ми пропонуємо

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Flexible schedule
• Medical insurance
• Benefits program
• Corporate social events
• Professional development opportunities