Lead Data Scientist at NielsenIQ

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

0.0

Posted On

17 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Artificial Intelligence, Statistical Modeling, Data Architecture, Data Modeling, Sampling Theory, Probability Theory, Regression, Classification, Time Series Analysis, Clustering, Monte Carlo Simulations, Neural Networks, Cloud Computing, ETL

Industry

Software Development

Description

Job Description In 100 countries around the world, NielsenIQ provides clients the most complete understanding of how the FMCG market evolves and what consumers buy. As a global leader in measurement and information, we believe providing our clients a precise understanding of the consumer is the key to making the right decisions -- decisions that can lead to profitable growth. At NielsenIQ, we’re always innovating to keep pace with emerging market trends and the increasingly diverse, demanding and connected consumer. Being a Lead Data Scientist in the Data Science team, you will play a critical role in developing the next generation of retail measurement solutions we offer our clients, powered by algorithms, ML and AI and leveraging large volumes of internal data, client data and third party data. You’ll be actively participating with other team members in the overall Product creation process. From ideation through Proof Of Concept and experimenting for methodological development, through prototyping and productionalization, to “Go to Market” strategy, you’ll be learning and exploring the newest technologies & applications for data architecture, and data modelling solutions. You will work alongside a group of talented individuals with different areas of expertise including best in class data scientists, product managers, and data collection specialists with the main purpose of accelerating innovation. On a daily basis you’ll be expected to: Work across functions, including with other data scientists specializing it different areas, on various projects, including R&D and automation to solve the business needs of the day Translate Clients’ requirements to actionable solutions or products Ideate and develop solutions for the product innovation pipeline Define the given business problem as a scientific research problem Define and own the roadmap of R&D and prototyping solutions Research solutions, set and execute experiments, prototype the solution and support Technology team on productionalizing them Build statistical and analytical models (including ML/AI approaches) as prototypes and POCs to address specific client business needs Test and optimize those models using big data. Fine tune parameters and iterate. Document the solution and experimentation to arrive to it, and create specifications for Technology team to productionize it Read, write, comment, maintain, and share legible and quality computer code utilized in prototyping and suctioning. Role requirements: (E=essential, P=preferred) E - Bachelors or Masters degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field with requiring outstanding analytical expertise and strong technical background. PhD level in the area is a plus. E - 6 years of experience in data science/research E - experience in independently leading and owning end-to-end research related projects E - Vast knowledge of statistical and machine learning methodologies: Sampling theory, Probability Theory, Variation analysis, Outlier identification techniques, Regressions, Classification, Time series analysis, Clustering, Monte Carlo simulations, Neural Networks, etc. E - Proficient in Python and its most common data science libraries. E - Experience with cloud computing and storage software, ETL E - Ability to lead and influence with other functional areas as a team and deliver results on time and per-spec. E – Experience in designing experiments, prototyping as well as supporting pilot programs for R&D purposes. P - Domain in managing clients and proven experience of solving complex client requirements. P -Strong Communication skills and ability to present and explain methodological and operational solutions to executive leadership. 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

You will lead the development of retail measurement solutions by defining research problems, building statistical models, and prototyping AI/ML applications. You will also collaborate across functions to translate client requirements into actionable products and support the technology team in productionalizing these solutions.