Middle Data Scientist

LeverX is looking for Middle Data Scientist. Don't miss this exciting opportunity to gain experience working with a global IT partner.

REQUIREMENTS

• 5 years experience as a Data Scientist;
• Great Python coding skills;
• Hands-on experience with data analysis : probability theory and statistics, table data analysis experience; experience with statistical libs like scipy, statsmodels;
• Great understanding and proven experience with machine learning (both supervised and unsupervised) classical models and time series methodologies and experience with popular frameworks (sklearn, statsmodels, LightGBM, xgboost, ;
• Ability to setup MLFlow experiments in DataBricks, handle and maintain them;
• Experience with reporting and visualization tools and libs (matplotlib, seaborn, plotly, altair, Databricks notebooks, streamlit, ;
• Experience with ML services provided by at least one hyperscaler (AWS , Azure, GCP);
• Understanding of DataOps and MLOps;
• Experience working according to Agile practices;
• Superior communication skills;
• Upper-Intermediate English.

A BIG PLUS WOULD BE

• DataOps, MLOps experience;
• Knowledge of ClickUP.
• Experience with Retail data processing

BENEFITS

• Working on projects for biggest retailers from US;
• Full cycle projects;
• Long term full time employment;
• Flexible working hours.

LeverX is looking for Middle Data Scientist. Don't miss this exciting opportunity to gain experience working with a global IT partner.

REQUIREMENTS

• 5 years experience as a Data Scientist;
• Great Python coding skills;
• Hands-on experience with data analysis : probability theory and statistics, table data analysis experience; experience with statistical libs like scipy, statsmodels;
• Great understanding and proven experience with machine learning (both supervised and unsupervised) classical models and time series methodologies and experience with popular frameworks (sklearn, statsmodels, LightGBM, xgboost, ;
• Ability to setup MLFlow experiments in DataBricks, handle and maintain them;
• Experience with reporting and visualization tools and libs (matplotlib, seaborn, plotly, altair, Databricks notebooks, streamlit, ;
• Experience with ML services provided by at least one hyperscaler (AWS , Azure, GCP);
• Understanding of DataOps and MLOps;
• Experience working according to Agile practices;
• Superior communication skills;
• Upper-Intermediate English.

A BIG PLUS WOULD BE

• DataOps, MLOps experience;
• Knowledge of ClickUP.
• Experience with Retail data processing

BENEFITS

• Working on projects for biggest retailers from US;
• Full cycle projects;
• Long term full time employment;
• Flexible working hours.

Middle Data Scientist

Area

Location

Georgia, Poland

Technology

Python, SQL, Pyspark