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Data Science Manager

NielsenIQ

Data Science Manager

full-timePosted: Jan 20, 2026

Job Description

Description

Position: Data Science Manager

Job Purpose: As a Data Science Manager  within the Data Science Methods team in the NIQ Product organization, you will drive definition and support of new products and methods development, and improvement initiatives. This position focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures.  

Job Responsibilities: 

  • Define, plan and execute analyses regarding innovation initiatives, methodology development, standards, and KPIs development and implementation. 

  • Prototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalization. 

  • Test-driven development of scalable data processing applications. 

  • Deliver high quality documentation of new methodologies and best practices. 

  • Collaborate with experienced Developers, Data Scientists, and Technology engineers. 

  • Support various Operations team as main users of our solutions. 

  • Engage with stakeholders on scope, execution, data exchange, and outcomes for assigned projects. 

  • Participate in multiple projects simultaneously. 

Requirements: 

Essential: 

  • PhD degree in Statistics, with outstanding analytical expertise and strong technical skills. 

  • Extensive experience in trend analyses, multivariate statistics (parametric/non-parametric), sampling, bias reduction, indirect estimation, data aggregation techniques, automation, and generalization. 

  • High proficiency in Python programming language including data analysis and statistical packages (Pandas, NumPy, Scikit-Learn). Good familiarity with Python standard library, especially unittest and argparse modules. 

  • Experience with Spark or other big data processing solutions. 

  • Experience in machine learning. 

  • Experience with cloud computing and storage (MS Azure preferred). 

  • Experience with Docker and Linux command line. 

  • Ability to quickly manipulate, analyze, and interpret large data sources. 

  • Strong communication/writing skills with good English (working in a remote team with a global footprint). 

Preferred: 

  • Experience in NIQ methodologies, data collection, platforms, research processes, and operations.

Qualifications

Additional Info

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

Locations

  • Tower B, Temenos Business Park, Vadodara, Gujarat, India (Remote)

Salary

Estimated Salary Rangemedium confidence

1,000,000 - 2,400,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Python programming (Pandas, NumPy, Scikit-Learn)intermediate
  • Statistical analysis and trend analysisintermediate
  • Big data processing (Spark)intermediate
  • Machine learningintermediate
  • Cloud computing (MS Azure)intermediate
  • Docker and Linuxintermediate

Required Qualifications

  • PhD in Statistics (experience)
  • Extensive experience in multivariate statistics and sampling (experience)
  • High proficiency in Python for data analysis (experience)
  • Experience with Spark, ML, Azure, Docker (experience)

Responsibilities

  • Define and execute analyses for innovation initiatives
  • Prototype solutions for R&D and pilot programs
  • Develop scalable data processing applications
  • Deliver documentation of methodologies
  • Collaborate with developers and operations teams
  • Engage stakeholders on project scope and outcomes

Benefits

  • general: Flexible working environment
  • general: Volunteer time off
  • general: LinkedIn Learning
  • general: Employee-Assistance-Program (EAP)

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NielsenIQ logo

Data Science Manager

NielsenIQ

Data Science Manager

full-timePosted: Jan 20, 2026

Job Description

Description

Position: Data Science Manager

Job Purpose: As a Data Science Manager  within the Data Science Methods team in the NIQ Product organization, you will drive definition and support of new products and methods development, and improvement initiatives. This position focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures.  

Job Responsibilities: 

  • Define, plan and execute analyses regarding innovation initiatives, methodology development, standards, and KPIs development and implementation. 

  • Prototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalization. 

  • Test-driven development of scalable data processing applications. 

  • Deliver high quality documentation of new methodologies and best practices. 

  • Collaborate with experienced Developers, Data Scientists, and Technology engineers. 

  • Support various Operations team as main users of our solutions. 

  • Engage with stakeholders on scope, execution, data exchange, and outcomes for assigned projects. 

  • Participate in multiple projects simultaneously. 

Requirements: 

Essential: 

  • PhD degree in Statistics, with outstanding analytical expertise and strong technical skills. 

  • Extensive experience in trend analyses, multivariate statistics (parametric/non-parametric), sampling, bias reduction, indirect estimation, data aggregation techniques, automation, and generalization. 

  • High proficiency in Python programming language including data analysis and statistical packages (Pandas, NumPy, Scikit-Learn). Good familiarity with Python standard library, especially unittest and argparse modules. 

  • Experience with Spark or other big data processing solutions. 

  • Experience in machine learning. 

  • Experience with cloud computing and storage (MS Azure preferred). 

  • Experience with Docker and Linux command line. 

  • Ability to quickly manipulate, analyze, and interpret large data sources. 

  • Strong communication/writing skills with good English (working in a remote team with a global footprint). 

Preferred: 

  • Experience in NIQ methodologies, data collection, platforms, research processes, and operations.

Qualifications

Additional Info

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

Locations

  • Tower B, Temenos Business Park, Vadodara, Gujarat, India (Remote)

Salary

Estimated Salary Rangemedium confidence

1,000,000 - 2,400,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Python programming (Pandas, NumPy, Scikit-Learn)intermediate
  • Statistical analysis and trend analysisintermediate
  • Big data processing (Spark)intermediate
  • Machine learningintermediate
  • Cloud computing (MS Azure)intermediate
  • Docker and Linuxintermediate

Required Qualifications

  • PhD in Statistics (experience)
  • Extensive experience in multivariate statistics and sampling (experience)
  • High proficiency in Python for data analysis (experience)
  • Experience with Spark, ML, Azure, Docker (experience)

Responsibilities

  • Define and execute analyses for innovation initiatives
  • Prototype solutions for R&D and pilot programs
  • Develop scalable data processing applications
  • Deliver documentation of methodologies
  • Collaborate with developers and operations teams
  • Engage stakeholders on project scope and outcomes

Benefits

  • general: Flexible working environment
  • general: Volunteer time off
  • general: LinkedIn Learning
  • general: Employee-Assistance-Program (EAP)

Target Your Resume for "Data Science Manager" , NielsenIQ

Get personalized recommendations to optimize your resume specifically for Data Science Manager. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Data Science Manager" , NielsenIQ

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score
Quiz Challenge

Answer 10 quick questions to check your fit for Data Science Manager @ NielsenIQ.

10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.