Senior Data Scientist
At a glance
Senior Data Science role at NielsenIQ. Mumbai · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Assess and refine methods for Retail Establishment Survey design and Universe Estimation, using statistical and machine learning approaches
- Investigate alternative methods, measure their gains, and turn the strongest findings into quality and efficiency improvements
- Coordinate with technology, data science and internal teams to develop and roll out new methods
- Build prototypes, assist pilot programs, and maintain global methods with clear documentation
- Review project and proof-of-concept progress, suggest changes, and help the team probe data more deeply
What you bring
- A master’s or doctorate in a quantitative field, or an engineering degree in computer science, data science or a related area
- At least five years of relevant experience, including work with Python, machine learning and large-scale databases
- Strong grounding in statistical analysis, sampling and study design, with experience in time series or deep learning
- Knowledge of FMCG processes and RMS products, plus the ability to explain technical methods and guide others
Who this fits
This senior role suits someone who can lead methodological work while collaborating across global and cross-functional teams. The position is onsite in Mumbai.
From the employer
About the job
You will work with a global team dedicated to the development of new methodologies for Retail Establishment Survey & other data collection processes. We are looking for someone in our methods team to be part of these transformational initiatives to improve quality and redefine the process of RES design and Universe Estimation leveraging advanced technologies, integration of data sources, Machine Learning techniques, statistical and data analytical skills.
You should have a passion for innovation, Research & Development and challenging data opportunities!
Responsibilities
- Own & lead evaluating & improvising the methodologies developed to improve quality of RES Designs and transforming Universe Estimation process involving Machine Learning & Statistical techniques.
- Research new methodologies, research directions and quantify their improvement
- Deliver methodological enhancements improving overall quality & process efficiencies.
- Work closely with different teams such as technology, other Data Science teams, internal stakeholders during development & deployment of new methodologies.
- Prototype as well as support pilot programs to drive innovation.
- Owns and maintains Data Science global methodologies and ensures they are well documented and understood.
- Asks questions to engage & motivate team on seeking further understanding of data.
- Reviews the progress of projects and POCs and proposes improvements and constructive critiques.
- Master’s / Doctorate Degree in Data Science, Mathematics, Statistics or Engineering degree in Computer Science, Data Science or related fields involving statistical analysis of large data sets
- At least 5 years’ of relevant experience
- Exhibits a solid understanding of FMCG Industry for specific core process and Advanced knowledge of RMS systems/products.
- Experience in designing studies/sampling
- Comfortable designing solutions and supporting a team to execute
- Displays innovative thinking, data analytical skills, application of statistical techniques and encourages. experimentation in delivery of work.
- Can support others to understand and apply more complicated technical principles & methodologies, creating clarity and focus for teams to deliver.
- Domain expert knowledge of the following: programming, statistical analysis / machine learning/deep learning, time series, sampling
- Experienced in Python programming, machine learning and working with queries and large-scale databases
- Preferable knowledge of geospatial data and techniques
- Able to work in virtual environment and familiar with git/Bitbucket processes
- Drive to continuously learn and adopt new technologies and tools
- Strong communication, presentation and collaboration skills
Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.
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