Data Science & AI

Розуміння концепцій статистики /теорії ймовірності, аналізу даних, машинного навчання
Знання мов програмування SQL, Python\R
Вміння будувати змістовні візуалізації результатів
Вміння створювати і підтримувати документацію про створені моделі і процеси
Відмінне розуміння методів машинного навчання та алгоритмів, таких як k-NN, Naive Bayes, SVM, Decision Forests, NN etc
Досвід роботи на позиції Data Scientist від 2х років
Досвід створення та впровадження повного циклу ML моделей (from research to production)
Досвід використання поширених DS інструментаріїв (numpy, scipy, pandas, sklearn, xgboost, etc.)

● ​5 years of working experience as engineer including minimum 1.5+ years of professional experience in Data Science or Applied Machine Learning
● ​Proficiency with Python
● ​Hands-on experience with ​SQL
● ​Solid engineering and coding skills with the ability to write high-performance production quality code
● ​Good understanding of common families of machine learning models, feature engineering, feature selection and other practical machine learning issues, such as overfitting
● ​You can speak English at the Intermediate level (at least)

— 5+ years of experience in statistical analysis and ML;
— Strong programming skills in Python (TensorFlow/PyTorch include);
— Google cloud platform or similar cloud infrastructure, data version control tool, and dynamic data repositories implementation;
— Supervised learning methods;
— Unsupervised learning methods;
— Experience with Image processing: segmentation, denoising, inpainting, super-resolution;
— Experience with time series: classification, switch point detection, forecast, anomaly detection;
— Experience in leading a team;
— Deep knowledge in building and deploying unusual solutions;
— Problem solving and analytical skills;
— Previous experience in project management;
— Skill of recognizing and managing stakeholders;
— Desire and ability to structure processes;
— Ability to communicate clearly and confidently;
— Advanced English (speaking and writing)

• 2+ years of practice in the Machine Learning / Deep Learning field.
• Hands-on experience with AI frameworks such as Tensorflow, PyTorch, etc.
• Excellent interpersonal skills, cross-group, and cross-culture collaboration.
• Proven ability to develop original ideas.
• At least Upper-Intermediate English level.
• Experience with OpenAI Gym.
• Deep understanding of RL techniques.

• 4+ years of experience as ML Engineer with data driven projects. Deep understanding and practical experience with Big Data Stack (Apache or Amazon).
• Deep knowledge of statistics, probability theory and ML.
• Practical experience with Python (NumPy, Pandas, Matplotlib, Networkx package, Scikit-Learn).
• Practical experience with DL modelling using relevant frameworks (TensorFlow,PyTorch, Keras).

• A degree in Computer Science or Mathematics, or similar field or equivalent experience.
• Experience with TensorFlow/Python3.
• Deep learning experience - CNNs, RNNs.
• Excellent communication skills and ability to explain data-driven insights clearly.
• Striving for simple solutions to complex problems.