Lead Data Scientist

About the role

You will work with an interdisciplinary and global R&D team dedicated to the research, development, and deployment of new statistical/ML/AI methodologies to support a range of NIQ products/processes enhancements from within in the Data Science organization.

What you'll do

• Research and develop new methodologies, research directions, prototype solutions, and quantify their improvement with rigorous scientific methods in the ML/AI space
• Own all the phases of an R&D project or process improvement, including conceptualization, design, prototyping, documentation, deployment, and monitoring
• Work closely and collaborate with experienced teams in operations, technology, other data scientists, and internal stakeholders during all phases of a project
• Deliver high quality, academic publication-level, documentation of new methodologies and best practices
• Engage with stakeholders on objectives, scope, execution, data exchange, and outcomes for assigned projects

What you need

• 7–13 yrs of experience
• Machine learning
• SQL
• Python
• Pandas
• Scikit-learn
• Statistics
• Any graduate

Good to have

• Deep learning
• Hadoop
• Spark
• NumPy
• Databricks
• Git