Lead Data Scientist

Vadodara, India

Applications have closed

NielsenIQ

We’re unrelenting in our pursuit of the most detailed data sets, measuring every consumer transaction to deliver the knowledge that every business needs to drive growth.

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Company Description

This role sits in NielsenIQ's Data Acquisition team, a core field operations team that conducts fieldwork to collect and audit retail census data from our extensive panel of retailers across India. You will be assisting in the data collection process under close supervision of team leaders/supervisors. 

Job Description

About Job 

Our Data Science teams help to provide NielsenIQ’s clients with the most complete understanding of the market and its consumers. With a footprint in over 100 countries across the globe, our expansive data and measurement capabilities provide market context and confidence. We are constantly innovating to keep pace with emerging market trends and the increasingly diverse, demanding and connected consumer. 

Responsibilities 

  • Drive technical discussions on designs, execution & processes with different teams/stakeholders in the company  

  • Engage with process owners to review the published WBS and generate the updated ones 

  • Get involved in the development of new processes and methodologies for defining quality standards 

  • Keep the technical WB standards website up to date with respect to the evolution of processes, methodologies, products associated with RMS  

  • Be the main point of contact and reference regarding the quality standards of the RMS processes. 

About You 

Qualifications

About You 

As a Principal Data Scientist, you will be part of a strategy team that provides the methodological references, guidelines, and technical standards associated with RMS products. 

Requirements 

  • More than 4 years of experience in NielsenIQ Data Science with knowledge of E2E processes of RMS products 

  • Good engagement/interaction/communication skills with different teams/stakeholders in the company (experts from other areas) 

  • Minimum B.S. degree in Statistics, Data Science, Actuarial Sciences, Operations Research, or Econometrics 

  • Proficient in Python, R, SQL or other statistical packages, bitbucket --> preferable 

Additional Information

About NielsenIQ

NielsenIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world’s population. Focusing on consumer-packaged goods manufacturers and FMCG and retailers, we enable customers to defy what’s possible. How? We combine unparalleled datasets, pioneering technology, and the industry’s top talent to create insights that unlock innovation. Join us and change the landscape.

Learn more at: www.niq.com

Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook

Our commitment to Diversity, Equity, and Inclusion

NielsenIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us.

We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide.

Learn more about how we are driving diversity and inclusion in everything we do by visiting the NielsenIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion/

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Bitbucket Data Analytics Econometrics Python R Research SQL Statistics

Region: Asia/Pacific
Country: India
Job stats:  47  10  0

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