Lead Data Scientist

NielsenIQ; Vadodara; On-site; INR 1,400,000 - 2,500,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

Job summary

NIQ is seeking a highly skilled Data Scientist in Vadodara, India, to join a dynamic global team. You will develop Python-based data processing pipelines, apply statistics and econometrics to large datasets, and prototype methods to measure consumer behavior online and in-store.

You will collaborate with engineering and business stakeholders to design end-to-end solutions, ensure scalable implementations, and drive methodological innovation across our data platforms and analytics.

Qualifications

• 5+ years experience in data science or related field.
• Master’s/Doctorate in Data Science, Mathematics, Statistics or BE/BTech in Computer Science/Data Science.
• Proficiency in Python and statistical analysis of large datasets.

Responsibilities

• Develop and refine data processing pipelines.
• Prototype analytical methods and translate into clear specifications.
• Collaborate with engineering to implement scalable solutions.

Skills

Python programming

Data analysis

Statistics

End-to-End mindset

Education

Master’s/ Doctorate in Data Science / Mathematics / Statistics

BE/BTech in Computer Science / Data Science

Tools

PySpark

SQL

Azure AI

Databricks

Snowflake

GitHub

Bitbucket

Job description

Join a dynamic and diverse global team dedicated to developing innovative solutions that uncover the complete consumer journey for our clients. We areseekinga highly skilled Data Scientist with strong development skills in programming languages such as Python. Additionally,expertisein statistics, mathematics, econometrics, and experience with panel data to revolutionize the way we measure consumer behavior both online and in-store.

Looking ahead, we are excited to find someone who will join our team in developing a tool that can simulate the impact of production process changes on client data. This tool outside of the production factory will allow the wider Data Science team to drive innovation with unpresented efficiency.

About the Role

Inthisrole,youwillcontributetothedevelopmentandrefinementofourdataprocessingpipelinewhileshapingnewanalyticalmethodologies.You’llgrowfromowningspecificstepsofthepipelinetobecomingan expertacrossdatacleaning,preparation, andrulevalidation,workingfluentlywithPython andlargedatasets.Youwill also designnewmethods,translatethemintoclearspecifications, andcollaboratewithengineeringteamstoensureaccurateandscalableimplementation. Closecoordinationwithstakeholdershelpsyouunderstandtheirneeds,gatherrequirements, andsecurealignment. Thispositionisidealforsomeonewhoenjoyshandsoncoding,improvingdataprocesses, anddrivingmethodologicalinnovationwithinacollaborative,crossfunctionalenvironment.

Qualifications

• - 5+ years experience
• - Educational Background:Master’s / Doctorate Degree in Data Science, Mathematics, Statistics orBE/BTech.ComputerEngineering degree in Computer Science, Data Science or related fields involving statistical analysis of large data sets

About You

• - End-to-End Mindset:Experienced understandingprocessesalsoholistically. You enjoy connectingmethodology, engineering, and business context to build solutions that work end‑to‑end—spanning data ingestion, modeling, tooling, deployment, and impact evaluation.
• -Data Analysis Skills:Proficiencyin manipulating, analyzing, and interpreting large data setsandexperiencepresenting thefindings and recommendations.
• -Programming Proficiency:Experiencedprogramming inPython, an ideal candidate hasalreadyimplemented Statistical methods like outlier validation.Experience programming efficiently to processlargeamountsof data, optimallyusing thePySparkpackage. Optionally, experience in SQL and working with queries.
• -Communication and Collaboration:Strong communication, writing, and collaboration skills.Experience or interest in supportingcross-functionalstakeholdersin production deployment
• -Continuous Learning: Eagerness to adopt and develop evolving technologies and tools.

Nice to Have

• -Statistical Expertise: Strong statistical and logical skills, with experience in data cleaning, outlier validation, sampling, bias reduction, indirect estimation, and data aggregation techniques.
• -Software Engineering Skills: Knowledge insoftware engineering, including experience designing and developing software
• -Technology Skills: Familiarity with technology stacks for cloud computing (AzureAI, Databricks, Snowflake), experience with version control systems GitHub or Bitbucket

Embark on this exciting journey to transform our panel measurement business and make a significant impactinthe world of consumer analytics.

Additional Information

• Flexible working environment
• Volunteer time off

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://nielseniq.com/global/en/info/niqs-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-

For more information, visit NIQ.com

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

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