Data Science Manager

Data Science Manager

Team Leadership:

Technical Communication:

Business Understanding:

Key Qualifications

Educational Background:

• PhD or Masters degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, with min 8+ years of experience as a Data Scientist.

Leadership Experience:

• Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams.

Leadership Experience:

• Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams

Communication Skills:

• Ability to effectively communicate complex methodologies and technologies to both technical and non-technical audiences.
• Strong problem-solving skills and an independent working style.

Technical Expertise:

• Strong statistical and machine learning modeling skills, including statistical tests, classification, predictive modeling, handling of missing data, and sampling/weighting techniques.
• Solid in analytical programming languages such as Python or R, along with their respective ecosystems.
• Hands-on experience implementing these models in production systems.
• Proficient in software development skills, including unit testing, CI/CD, and version control with Git, along with familiarity with computer science and engineering fundamentals such as data structures, software design principles, and testing strategies.

Preferred qualifications

• Experience in the Media/Market Research industry
• Experience working with cloud-based data services (AWS, Azure, or GCP)
• Experience with Optimization techniques such as: linear programming, integer programming, genetic algorithms, constrained optimization is a plus

elanchezhiyan.kg@nielseniq.com