Principal Data Scientist

Responsibilities

• Design, develop, and deploy advanced data models and algorithms to solve complex business problems.
• Lead the research and development of new data science methodologies and approaches.
• Perform high-level data analysis and predictive modeling on large datasets.
• Innovate and implement state-of-the-art machine learning techniques.
• Collaborate with various teams to integrate advanced data science into business processes.
• Provide technical guidance and insight on data science projects.
• Continuously evaluate and adapt new technologies to enhance data analytics capabilities.
  
  

Requirements

• PhD in Data Science, Statistics, Computer Science, or related field.
• 10+ years of experience in data science, with a deep focus on advanced statistical analysis and machine learning.
• Expert-level proficiency in programming languages (Python, C++) and big data technologies (Hadoop, Spark).
• Extensive experience in predictive modeling, data mining, and statistical analysis.
• Demonstrated ability to apply complex data science techniques to practical business problems.
• Strong analytical skills and attention to detail.
• Excellent data presentation and communication skills.

Bonus Points

• Contributions to open-source data science projects.
• Experience in real-time data processing and analytics.
• Fluent in English.