Position: Senior Data Scientist
Company: Data Science UA
Experience required: 5y
English level: intermediate

Requirements:
- Seasoned data scientist with 5+ years of experience
- 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 at least one cloud provider solution (AWS, GCP, Azure)
- 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 
- Good communication skills and interpersonal skills

Responsibilities:
- Plan R&D process to fit sprint goals as well as the project milestones.
- Design a new solution architecture for customers clusterization, NLP and prediction analysis.
- Drive the collection, cleaning, processing and analysis of new and existing data sources.
- Communicate with business stakeholders to clarify their requirements and present the teamwork results

Will be a plus:
- Experience in working across different global cultures a plus.
- Ph.D. in Mathematics will be a plus.

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