Data Scientist

NielsenIQ · Dubai

Hybrid: DubaiFull TimeInformation Technology
Posted Today

Job description

Responsibilities

Own Data Science solutions throughout the full life cycle (brainstorming, design, implementation, productization, and maintenance)

Develop solutions based on data science, statistics, and machine learning models

Improve methods and tools

Communicate with non-data scientists in Tech, Operations, Commercial, and Product

Screen the market for potential new Data Science approaches

Foster knowledge exchange within the company

Requirements

Master's degree or PhD with 3+ years of experience

Enjoy communicating complex methodology and technology to tech and non-tech audiences

Expert statistical or machine learning modeling skills

Experience with an analytical programming language (Python, R)

Preferred Qualifications

Knowledge of cloud computing environments and tooling (especially AWS)

Advanced software development skills (unit testing, CI/CD, Git)

Basic skills regarding database handling as SQL

Basic knowledge of the Data Science ecosystem and its frameworks

Benefits

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

About the Company

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

Skills & tools

Data ScienceMachine LearningPythonRAWSSQLGitCI/CD

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Master's degree or PhD
  2. 023+ years experience
  3. 03Statistical modeling skills
  4. 04Python or R
  5. 05Communication skills
  6. 06Machine learning skills