Senior Data Scientist

Responsibilities

• Develop sophisticated statistical models and machine learning algorithms to analyze complex datasets.
• Extract and interpret data to identify patterns, trends, and relationships.
• Perform data preprocessing, cleansing, and analysis to ensure data quality.
  
  Implement predictive models and conduct A/B testing for continuous improvement.
• Utilize advanced analytics techniques to solve specific business problems.
• Collaborate with cross-functional teams to integrate data science methodologies into various business processes.
• Present complex data findings in a clear and understandable manner to non-technical stakeholders.

Requirements

• Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• 5+ years of experience in data science, focusing on statistical modeling and machine learning.
• Strong proficiency in data science programming languages (Python, C++) and SQL.
• In-depth knowledge of machine learning techniques and algorithms.
• Experience with big data technologies (e.g., Hadoop, Spark).
• Excellent analytical and problem-solving skills.
• Ability to communicate complex data insights effectively.

Bonus Points

• Experience with deep learning frameworks (TensorFlow, PyTorch).
• Publications in relevant scientific journals or conferences.
• Fluent in English.