Sr Manager Data Sciene

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 were always innovating to keep pace with emerging market trends and the increasingly diverse demanding and connected consumer.

Being a Senior Manager 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.

Youll 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 youll 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 youll 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:  (Eessential Ppreferred)

• 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 - 10 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 :

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 NIQs 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 NIQs AI Safety Policies and Guiding Principles: Benefits

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

About NIQ

NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 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 insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.

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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  Work :

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Employment Type :

Full-time