MY BANK IS MY SUPPORT.The support of millions of Ukrainians who from now on say "MY".MY PEOPLE. MY BUSINESS. MY FREEDOM. style="font-style: inherit; font-weight: 700">DataScientistKey tasks:Development and implementation of highly accurate forecasting models (classification, regression) for financial data.Optimization and tuning of tree-based models (XGBoost, LightGBM) to improve their efficiency.Performing deep data analysis and feature engineering to improve the quality of models.Cooperation w
MY BANK IS MY SUPPORT.
The support of millions of Ukrainians who from now on say "MY".
MY PEOPLE. MY BUSINESS. MY FREEDOM.
style="font-style: inherit; font-weight: 700">Data
ScientistKey tasks:
- Development and implementation of highly accurate forecasting models (classification, regression) for financial data.
- Optimization and tuning of tree-based models (XGBoost, LightGBM) to improve their efficiency.
- Performing deep data analysis and feature engineering to improve the quality of models.
- Cooperation with data engineers to create effective machine learning pipelines.
- Mentoring junior team members and imparting knowledge of modeling best practices.
- Development and implementation of model performance monitoring systems.
This position requires:
- 5+ years of experience in Data Science.
- Proven experience building and implementing predictive models on large sets of tabular data.
- Higher education in mathematics, computer science, physics or engineering.
Technical requirements:
- Deep understanding of machine learning algorithms and their application to tabular data.
- Expert level of work with tree-based models (XGBoost, LightGBM, etc.).
- Experience in hyperparameter optimization and cross-validation techniques, measuring the confidence of the model in its predictions (confidence intervals, prediction sets).
- Knowledge of feature selection and feature engineering methods for tabular data and time series.
- Experience with unbalanced datasets (without over/down sampling techniques, other methods).
- Expert knowledge of Python and its ML libraries (scikit-learn, SciPy, statsmodels etc.).
- Experience with model versioning systems (MLflow, DVC).
- Knowledge of ML model testing and debugging practices.
- Experience with PyTorch for creating neural networks (preferred).
- Basic experience with AWS services for ML (SageMaker, preferably).
- Understanding the principles of scaling ML solutions.
We guarantee:
- conditions for professional and career growth of everyone employee;
- official employment with compliance with all social guarantees according to the Labor Code (paid sick leave, vacation from 29 calendar days per year);
- free health insurance for all employees.
Send your resume - be part of theSAVINGS team!
Savings in social networks:
Facebook https://www.facebook.com/oschadbank/
Linkedin https://www.linkedin.com/company/oschadbank/
Instagram https://www.instagram.com/oschadbank_official/
Tiktok https://www.tiktok.com/@oschad