NielsenIQ Logo

NielsenIQ

Senior Data Scientist

Reposted One Month Ago
Be an Early Applicant
Hybrid
Mumbai, Maharashtra, IND
Senior level
Hybrid
Mumbai, Maharashtra, IND
Senior level
Lead development and improvement of RES design and universe estimation using statistical methods, machine learning, and data integration. Research and prototype new methodologies, collaborate with technology and data teams, document global data science methods, support pilots and deployments, and mentor colleagues to apply advanced analytical techniques.
The summary above was generated by AI
Job Description

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.

 

 

Qualifications

  • 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

Additional Information

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

Similar Jobs

Yesterday
Hybrid
Senior level
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Develops production-grade data science and analytics solutions across broad business problems. Responsibilities include statistical analysis, hypothesis testing, feature engineering, machine learning modeling, NLP, OCR, generative AI, prompt engineering, and MLOps using cloud AI services. The role mentors data scientists, partners with stakeholders, communicates insights through storytelling, and applies expertise to banking, financial services, and insurance use cases.
Top Skills: Azure MlLarge Language ModelsMlopsNatural Language ProcessingOcrPrompt EngineeringPythonPyTorchScikit-LearnSpacyTensorFlowTransformers
2 Days Ago
Hybrid
Mumbai, Maharashtra, IND
Senior level
Senior level
Financial Services
Leads end-to-end data science and AI initiatives for co-brand credit card partnerships, including customer segmentation, strategic analytics, data pipelines, dashboards, AI agents, and production-ready insights. Builds and tests scalable AI solutions, monitors model performance, translates complex analysis into business recommendations, leads agile workstreams, and mentors junior team members. Collaborates with senior stakeholders and cross-functional teams to support portfolio strategy and growth.
Top Skills: Ai AgentsAlteryxAWSAzureDatabricksGCPLarge Language Models (Llms)PythonSQLTableau
Yesterday
In-Office
Senior level
Senior level
Information Technology • Software
Designs, develops, and deploys scalable data science, machine learning, generative AI, and agentic AI solutions. Translates business needs into secure enterprise architectures, builds and evaluates production models, leads AI initiatives from concept through deployment, and establishes monitoring and performance practices. Collaborates with product, engineering, data, and business stakeholders while providing technical leadership across conversational AI, intelligent agents, retrieval systems, and advanced analytics initiatives.
Top Skills: Agentic AiAzureAzure Ai ServicesAzure Machine LearningAzure OpenaiCi/CdContainerizationCosmos DbDistributed SystemsDynamoDBFastapiFlaskGenerative AiGitGptJupyterLangchainLanggraphLarge Language ModelsLlamafactoryMachine LearningMatplotlibMlflowNatural Language ProcessingNoSQLNumpyPandasPythonRest ApisRetrieval-Augmented GenerationScikit-LearnSpacySQLTensorFlowUnslothVector Search

What you need to know about the Mumbai Tech Scene

From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account