Senior Data Scientist

  • Freelance
  • Anywhere

ProData Consult

Machine Learning (advanced)
Catboost (advanced)
XGBoost (advanced)
Python (advanced)
PROJECT INFORMATION:
 
  • Industry: e-commerce
  • Location: 100% remote or from client’s office in Warsaw
  • Project language: Polish, English
  • Assignment type: B2B
  • Remuneration: Up to 200 PLN/H +VAT
  • Start: Flexible
 
PROJECT ROLE:

E2E delivery of credit risk models including: 

  • New features creation based on current models’ errors
  • Tuning models after auto-ml phase
  • Extending internal ml library
  • Calibrating scores to observed probability of default
  • Optimizing treshold of optimal automated decisions
 
REQUIREMENTS:
 
  • Min. 4 years of professional experience
  • Very good knowledge of Python (Sklearn, Hyperopt, Pandas, NumPy, LGBM)
  • Machine Learning (at least one model deployed to the production environment that made automated decisions)
  • Excellent knowledge of gradient boosting algorithm (LGBM, xgBoost, Catboost)
  • Feature Engineering (experience with features (predictors) creation from multiple sources, ability to write easily extendable and maintainable SQL code)
  • Optimization (experience with the calculation of optimal thresholds for automated decisions)
  • Good  knowledge of linear models (logistic regression with regularization)
  • Knowledge of  the influence of the train sample definition on model outputs
  • Knowledge of model validation techniques
 
WE OFFER: 
 
  • Work in the international environment within the Scandinavian business culture
  • Co-financing of private medical care (Medicover) and the Multisport card
  • Recommendation program
  • ProData Consult mobile application – easy reporting of working time, quick access to new offers

Source
feeds.talent.com

Senior Data Scientist

  • Freelance
  • Anywhere

ProData Consult

Machine Learning (advanced)
Catboost (advanced)
XGBoost (advanced)
Python (advanced)
PROJECT INFORMATION:
 
  • Industry: e-commerce
  • Location: 100% remote or from client’s office in Warsaw
  • Project language: Polish, English
  • Assignment type: B2B
  • Remuneration: Up to 200 PLN/H +VAT
  • Start: Flexible
 
PROJECT ROLE:

E2E delivery of credit risk models including: 

  • New features creation based on current models’ errors
  • Tuning models after auto-ml phase
  • Extending internal ml library
  • Calibrating scores to observed probability of default
  • Optimizing treshold of optimal automated decisions
 
REQUIREMENTS:
 
  • Min. 4 years of professional experience
  • Very good knowledge of Python (Sklearn, Hyperopt, Pandas, NumPy, LGBM)
  • Machine Learning (at least one model deployed to the production environment that made automated decisions)
  • Excellent knowledge of gradient boosting algorithm (LGBM, xgBoost, Catboost)
  • Feature Engineering (experience with features (predictors) creation from multiple sources, ability to write easily extendable and maintainable SQL code)
  • Optimization (experience with the calculation of optimal thresholds for automated decisions)
  • Good  knowledge of linear models (logistic regression with regularization)
  • Knowledge of  the influence of the train sample definition on model outputs
  • Knowledge of model validation techniques
 
WE OFFER: 
 
  • Work in the international environment within the Scandinavian business culture
  • Co-financing of private medical care (Medicover) and the Multisport card
  • Recommendation program
  • ProData Consult mobile application – easy reporting of working time, quick access to new offers

Source
feeds.talent.com