Lead Data Scientist

Tasks

• Analyze datasets with Python and SQL
• Apply causal inference methodologies
• Collaborate with business marketing and engineering
• Communicate analytical findings to stakeholders
• Design and analyze A/B tests
• Design data science solutions for marketing impact
• Develop classification models
• Develop regression models
• Develop time series models
• Implement data modeling best practices
• Implement experimentation and statistical analysis best practices

Perks/Benefits

• Access to Udemy Business
• Career development plans
• Company-provided equipment
• English lessons
• Flexible working options
• Learning opportunities
• Mentorship programs
• Special day rewards
• Travel for industry conferences

Skills/Tech-stack

A/B | A/B Testing | B testing | Causal Inference | Classification | Data Modeling | Experimentation | Machine Learning | Python | Regression | SQL | Series analysis | Statistical Analysis | Time Series | Time Series Analysis