Senior Data Scientist

Why we are recommending

• Opportunity to work on bleeding-edge projects.
• Opportunity for long business trips to the US and possibility for relocation.

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.
• Develop and test ML models using Python/Keras/Tensorflow/Spark stack.
• Communicate with business stakeholders to clarify their requirements and present the teamwork results

Requirements

• Seasoned data scientist with 7+ 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 cloud (Amazon SageMaker) is required.
• Experience with Spark 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 a plus.
• Ph.D. in Mathematics will be a plus.

Company offers

• Flexible schedule.
• Benefits program.
• Social package - medical insurance, sports.
• Corporate social events.
• Professional development opportunities.
• Opportunity for long business trips to the US and possibility for relocation.