Data Scientist - Consumer Insights & Flexible Work

NielsenIQ; Ciudad de México; On-site; MXN 420,000 - 660,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

Job summary

NIQ seeks a Data Scientist Business Leader to support clients and internal teams with data science methodologies in a fast-paced environment. You will prototype use cases, collaborate across units, and automate processes to deliver insights.

Ideal candidates have 2-3 years in market research or data science, strong statistics basics, and Python experience, with excellent English communication.

Qualifications

• Degrees in Maths, Data Science, Statistics, Actuarial Science, or related fields involving statistical analysis of large data sets.
• Good command of written and spoken English.
• 2-3 years of experience in market research, Data Science or relevant field.
• Basic understanding of Statistics.
• Experienced with programming languages such as Python
• Familiar with contemporary database systems.
• Familiarity with marketing analytics, including designing experiment and consumer behavior analysis.

Responsibilities

• Support Internal and External Clients with the understanding of Data Science design and methodology.
• Accompanies senior leaders meet with clients to understand business needs and help offer innovative solutions.
• Assists on creating new solutions use cases, proof of concept and prototypes by exploring diverse data sets usingtools such as python/r.
• Collaborates with other Data Science team units.
• Automate and develop solutions for existing processes.
• Efficient and effective with basic guidance and coaching

Skills

Python

Statistics

Data science

English communication

Marketing analytics

Critical thinking

Education

Mathematics

Data Science

Statistics

Actuarial Science

Tools

Databases

R

Job description

NIQ seeks a Data Scientist Business Leader to support clients and internal teams with data science methodologies in a fast-paced environment. You will prototype use cases, collaborate across units, and automate processes to deliver insights.

Ideal candidates have 2-3 years in market research or data science, strong statistics basics, and Python experience, with excellent English communication.