Lead Data Scientist at NielsenIQ

Vadodara, gujarat, India -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

0.0

Posted On

18 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistics, Mathematics, Econometrics, Panel Data, Data Analytics, Methodology Enhancements, Data Cleaning, Quality Tracking, Python, Pandas, PySpark, SQL, Data Manipulation, Problem Solving, Communication, Collaboration

Industry

Software Development

Description

Job Description About Us We’re a global Data Science team dedicated to developing innovative solutions: enhancement to existing methods and new methods. Our focus is ensuring the best quality of global product that uncovers the complete consumer journey for our clients. We are seeking a highly skilled, growth focused Lead Data Scientist with expertise in statistics, mathematics, or econometrics, and high interest in panel data to revolutionize the way we measure consumer behavior both online and in-store. Advanced data analytics: Support implementing our new consumer data collection App. Help defining new features and functionalities. Methodology Enhancements: Evaluate and improve current collection methodologies, including panel recruitment, data cleaning, and quality tracking. Deployment Support: Assist in the production of deployment of proposed enhancements and new solutions. Documentation: Document findings, methodologies, and best practices comprehensively. Coordination: Coordinate efforts across multiple teams and stakeholders to ensure seamless integration and execution. About You You are interested in a deep understanding of consumer behavior, panel-based projections, and consumer metrics, and analytics. You have successfully applied your statistical and data analytical skills to real-world scenarios, demonstrating your ability to handle complex data sets and generate actionable insights. Experience with (un)managed crowdsourced panels and receipt capture methodologies is an advantage. Educational Background: University degree or the equivalent combination of education and experience required; advanced/graduate degree preferred for some disciplines, with a minimum of 5 - 7 years of relevant experience. Problem Solving: Guides others in resolving complex problems in specialized areas and takes a new perspective on existing solutions or solves problems where precedent does not exist. Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets. Programming Proficiency: Experience with Python, fluency in using pandas and experience or willingness to learn pySpark. Database Handling: Skilled in SQL and working with queries and large-scale databases. Continuous Learning: Eagerness to adopt and develop evolving technologies and tools. Communication and Collaboration: Strong communication, writing, 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

Responsibilities

The Lead Data Scientist will support the implementation of a new consumer data collection App, defining new features, and evaluating and improving current collection methodologies like panel recruitment and data cleaning. This role also involves assisting in the deployment of new solutions and comprehensively documenting findings and best practices.