#вакансия #data_scientist #senior #remote #eng #python #data #science #тимлид #teamlead
Компания #bellintegrator
Локация #удаленка #москва
З/п: 300 000 - 700 000 р
Контакты @kostya_hunter
Company: Bell Integrator
Vacancy: Lead Data Scientist
We are creating a product which supposed to make machine learning available for any type of users. And now are looking for people who shares our ambitious to make machine learning available for everyone.
Responsibilities:
🔸Engage in work on automating data preprocessing & feature engineering methods,
🔸Learn new approaches
🔸Conduct experiments, write a lot of code.
Hard skills:
🔸5 years in an applied data science role
🔸Fluency with scripting (Python or R)
🔸Hands-on experience with pandas, numpy, sklearn, matplotlib, seaborn, xgboost or R corresponding packages
🔸Ability to independently perform complete machine learning projects including data cleaning/processing, EDA, hypothesis generation/testing, feature engineering, algorithm selection/tuning/validation, and generation of experiment reports
🔸Knowledge of metrics definitions and differences, and metrics optimization techniques
🔸Understanding of Logistic/Linear regression, Decision Trees/Random Forest/Boosted Trees/ neural networks frameworks
🔸Ability to explain strong and weak points of the above algorithms’ applications
🔸Strong knowledge of Statistics
We offer:
🔸Innovative state of the art SaaS product development
🔸Stellar team of Data Science professionals
🔸Competitive compensation & benefits package
🔸Work with newest algorithms, NN frameworks
🔸Participation in the TOP DS community events
🔸Remote work option
Компания #bellintegrator
Локация #удаленка #москва
З/п: 300 000 - 700 000 р
Контакты @kostya_hunter
Company: Bell Integrator
Vacancy: Lead Data Scientist
We are creating a product which supposed to make machine learning available for any type of users. And now are looking for people who shares our ambitious to make machine learning available for everyone.
Responsibilities:
🔸Engage in work on automating data preprocessing & feature engineering methods,
🔸Learn new approaches
🔸Conduct experiments, write a lot of code.
Hard skills:
🔸5 years in an applied data science role
🔸Fluency with scripting (Python or R)
🔸Hands-on experience with pandas, numpy, sklearn, matplotlib, seaborn, xgboost or R corresponding packages
🔸Ability to independently perform complete machine learning projects including data cleaning/processing, EDA, hypothesis generation/testing, feature engineering, algorithm selection/tuning/validation, and generation of experiment reports
🔸Knowledge of metrics definitions and differences, and metrics optimization techniques
🔸Understanding of Logistic/Linear regression, Decision Trees/Random Forest/Boosted Trees/ neural networks frameworks
🔸Ability to explain strong and weak points of the above algorithms’ applications
🔸Strong knowledge of Statistics
We offer:
🔸Innovative state of the art SaaS product development
🔸Stellar team of Data Science professionals
🔸Competitive compensation & benefits package
🔸Work with newest algorithms, NN frameworks
🔸Participation in the TOP DS community events
🔸Remote work option