Estadístico Data Science Junior at NielsenIQ

Ciudad de México, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

304800.0

Posted On

08 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Statistics, Problem-Solving, Programming, Python, R, Database Systems, Marketing Analytics, Consumer Behavior Analysis, Collaboration, Innovation, Critical Thinking, Logical Thinking, Communication, Intellectual Curiosity, Adaptability

Industry

Software Development

Description

Company Description R25_0023527 Blvd Manual Avila Camacho 191, Mexico City, Mexico Job Description As the world's largest research organization, Nielsen is powered by talented creative scientists. Our Data Scientist Business Leaders come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics and demography. These professionals drive innovation, new product ideation, develops complex analysis and delivery of data insights to measure what consumers buy. What you will do: Support Internal and External Clients with the understanding of Data Science design and methodology. Collaborates with other Data Science team units. Automate and develop solutions for existing processes. Efficient and effective with basic guidance and coaching Ensure the completion of the Sample Design and RES Design activities Qualifications Soft skills qualifications Passionate about innovation and technology Problem-Solving skills Ability to effectively convey complex concepts to non-experts Intellectual curiosity and persistence to find answers to questions Eager to continuously learn and adapt to changing technologies and tools. Good command of written and spoken English. Good collaborative and interpersonal skills to communicate at all levels. (Preferred) Entrepreneur mindset (Preferred)Analytical and Technical skills Experience: Good aptitude for data analysis and statistics Critical/ logical thinking. Experienced with programming languages such as Python and R. Familiar with contemporary database systems. Familiarity with marketing analytics, including designing experiment and consumer behavior analysis. Additional Information Annual Salary: 304,800.00 MXN Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ 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. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Responsibilities

Support internal and external clients with understanding data science design and methodology. Collaborate with other data science team units and automate solutions for existing processes.