Full-Time Sr. Manager - Data Science
NielsenIQ is hiring a remote Full-Time Sr. Manager - Data Science. The career level for this job opening is Senior Manager and is accepting Vadodara, India based applicants remotely. Read complete job description before applying.
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NielsenIQ
Job Title
Sr. Manager - Data Science
Posted
Career Level
Full-Time
Career Level
Senior Manager
Locations Accepted
Vadodara, India
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Job Details
Job Purpose: As a Lead Data Scientist within the Data Science Methods team, 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
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.
FAQs
What is the last date for applying to the job?
The deadline to apply for Full-Time Sr. Manager - Data Science at NielsenIQ is
10th of October 2025
. We consider jobs older than one month to have expired.
Which countries are accepted for this remote job?
This job accepts [
Vadodara, India
] applicants. .
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