Data Science Manager at NielsenIQ

Ciudad de México, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Leadership, Stakeholder Engagement, Problem-Solving, Data Analysis, Statistics, Innovation, Coaching, Collaboration, Business Acumen, Communication, Machine Learning, Cloud Computing, Project Management, Talent Development, Analytical Skills

Industry

Software Development

Description

Company 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. Job Description What You’ll Do Own Data Science for a cluster on new and established product and services. Lead Local Data Science team across the cluster. Be a Data Science business partner for Managing Directors/President, Commercial, Product, Technology, Local and Regional leaders to contribute their objectives including revenue, productivity, EBITDA and other objectives. Meet with clients to understand strategic business needs, communicate internally and offer innovative solutions driven through state of the art methodologies in Data Science. Partner with other global data science and technology leaders to enable new solutions. Collaborate with other Data Science leaders units to deliver and prioritize objectives. Develop team & talent strategy to drive the vision of the Data Science organization. Responsible for team development and coaching. Plan and prioritize key initiatives for countries across the cluster in alignment with clusters business leaders. Supporting senior DBLs for global escalated issues and complex matters. Create an environment to encourage and drive innovation mindset and to leverage best-demonstrated practices across countries. Stay connected to internal/external Data Science community to learn the newest Data Science & Technology solutions to be able to bring them to the market Qualifications Essential soft skills qualifications Passionate about people, innovation and technology Experienced connecting with stakeholders and clients proactively, finding ways to link client's needs with the business. Innovative mindset, creativity, thinking out-of-the-box. Excellent in conveying effectively complex concepts to non-experts in business language Strong leadership skills Strong Business acumen, consultative skills and empathy for clients Great Problem-Solving skills Strong people management skills, talent development & coaching Intellectual curiosity and persistence to find answers to questions Great collaborative and interpersonal skills to communicate at all levels, especially with country and global leaders. Ability to set priorities in alignment with business needs Great command of written and spoken English Excellent in making decisions and successfully manage multiple assignments concurrently in a high pressure environment Eager to continuously learn and adapt to changing technologies and tools. Analytical and Technical skills: Solid understanding of Statistics Strong aptitude for data analysis. Solid critical/ logical thinking. Strong Business acumen, finance and budgeting knowledge Familiar with contemporary open source tools and technologies such as Python and R. Preferred Qualification Experienced in data visualization tools (e.g. Spotfire, Tableau, etc) and mapping tools. Working knowledge with collaboration Microsoft tools Atlassian,Git, Bitbucket and Confluence. Familiar with Machine Learning. Familiar with Cloud computing such as AWS, GCP, Microsoft Azure, etc. Working experience with Nielsen systems/products. (for internal-it is required) Working experience with contemporary database systems. Familiar with Project Management. Experience 8+ years of experience in market research or relevant field. Solid understanding of CPG/FMCG Industry and Retail market impact on client’s business within the market. Professionals with degrees involving subjects in statistical and maths. Significant experience managing high performance and tech savvy teams Additional Information 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

Own Data Science for a cluster on new and established products and services. Lead the local Data Science team and collaborate with various business leaders to meet strategic objectives.