Middle / Senior Data Scientist
Requirements:
- Experience in several of the following domains: Recommender Systems, Deep Learning, Learn-to-Rank, Regression, Classification, Clustering
- Experience with ML packages such as scikit-learn, Pandas, NumPy, SciPy, Matplotlib, etc
- General understanding of recommendation systems approaches
- Ability to write code that is clean, maintainable, optimized, modular with good naming conventions and in a way that enables efficient and accurate translation into a data pipeline
- Understanding and experience in database technologies
- Experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms
Nice to have:
- Familiar with deep learning computing frameworks (e.g. PyTorch, TensorFlow etc. )
- Knowledge of test design, implementation and evaluation, A/B-testing
- Knowledge in common statistical methods
- PySpark, Spark MLlib experience.
Responsibilities:
- Design, train and optimize math models for various ML and analytics tasks
- Do analytics researches based on tones of structured data.
What we offer:
- Full-time role in the Kyiv city centre working closely with experienced team
- Exciting tasks to work on
- Insurance and other perks (e.g. education, English)
PlayA is uniting gaming experts from various regions to build ML/AI-enabled solutions for the whole gaming ecosystem. Come join our Play-A league!
- Experience in several of the following domains: Recommender Systems, Deep Learning, Learn-to-Rank, Regression, Classification, Clustering
- Experience with ML packages such as scikit-learn, Pandas, NumPy, SciPy, Matplotlib, etc
- General understanding of recommendation systems approaches
- Ability to write code that is clean, maintainable, optimized, modular with good naming conventions and in a way that enables efficient and accurate translation into a data pipeline
- Understanding and experience in database technologies
- Experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms
Nice to have:
- Familiar with deep learning computing frameworks (e.g. PyTorch, TensorFlow etc. )
- Knowledge of test design, implementation and evaluation, A/B-testing
- Knowledge in common statistical methods
- PySpark, Spark MLlib experience.
Responsibilities:
- Design, train and optimize math models for various ML and analytics tasks
- Do analytics researches based on tones of structured data.
What we offer:
- Full-time role in the Kyiv city centre working closely with experienced team
- Exciting tasks to work on
- Insurance and other perks (e.g. education, English)
PlayA is uniting gaming experts from various regions to build ML/AI-enabled solutions for the whole gaming ecosystem. Come join our Play-A league!
Close
Ukraine (preferably in office)
