Специализация: Data Science
Уровень: Middle
Опыт: 2 года
Уровень английского: Intermediate
Зарплата: от $1500
Город: Минск
Режим работы: Полный день
Размер команды: 3—5
Размер компании: 8
Возможна удалённая работа: Да


Innovative Future leverages Machine Learning (ML) as the main instrument of building Artificial Intelligence solutions offering a full range of ML services to help companies in solving key business challenges enabling business process transformation in innovative way. At the company we create ML-powered software by using techniques like pattern recognition, computational intelligence & neuroscience and mathematical modelling.


We are looking for a smart Data Scientist with a deep understanding of Machine Learning techniques and hands-on experience in Computer Vision, Image Analysis and NLP use cases.


- Use and fit different mathematical and econometric models, develop descriptive and predictive models that deliver better decisions

- Create high-quality data visualizations

- Communicate effectively with different engineers to discuss complex data-driven findings and technical matters

- Research, patterns identification and formulating insights

- Continuously develop knowledge base within the data scientist team, participate in common brainstorming sessions


- BS, MS or PhD degree or equivalent in physics, Machine Learning, Computer Science, signal processing or a related field

- 4+ years of overall hands-on technical experience

- 2+ years of experience in Machine Learning/Data Science

- Data focused applied mathematics (statistical analysis, machine learning)

- Aptitude for tricky problems solving

- Design, build and maintain large scale production ML pipelines

- Hands on experience with ML concepts: regression and classification, clustering, feature selection, feature engineering, curse of dimensionality, bias-variance tradeoff, neural networks, SVMs, Naive Bayes, Decision Tree, Random Forest etc.

- Strong knowledge in Machine and Deep Learning approaches such as BERT, GAN, CNN, POS, RNN, Stanford CoreNLP

- Confident knowledge and hands-on experience with Python (NumPy / SciPy / scikit-learn / pandas / matplotlib), TensorFlow/PyTorch

- Data visualization skills

- In-depth domain understanding and ability to acquire new

- Willingness to go the extra mile with a strong work ethic

- Ability to handle strict deadlines and multiple tasks

- English B1 and higher


- Innovative solutions development to the world’s digital transformation

- Opportunities for self-realization

- Friendly team and flexible working schedule

Missing dc2dee645480aabc67b54d291271580aa34628939fceddb02bb23fd5777d20cc
Представитель компании