Sr. Manager - Data Science

Job Purpose: As a Lead Data Scientist 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.

Machine Learning & Artificial Intelligence

• Machine Learning: Knowledge of various algorithms and their appropriate application for prediction and classification.
• Deep Learning: Understanding of neural networks and deep learning frameworks like TensorFlow and PyTorch.

Data Visualization & Presentation

• Data Visualization: The ability to create clear and compelling charts and graphs using tools like Tableau Power BI or Matplotlib to communicate findings to stakeholders.

Databases & Cloud

• Database Management: Proficiency with both SQL and NoSQL databases (like MongoDB) for data storage and retrieval.
• Cloud Computing: Experience with cloud platforms such as Amazon Web Services (AWS) Microsoft Azure and Google Cloud

Qualifications :

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.

Additional Information :

Our 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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