Reads like a ML Engineer role: putting models into production.
Bengaluru, India
Live, first seen by us 23 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
This job description outlines the responsibilities and qualifications for an AI / ML Data Scientist II role with a primary focus on designing, building, and deploying scalable machine learning systems, software engineering best practices, and the application of AI/ML principles within Machine Learning and Data Science contexts.
Implement, test, and optimize econometric, statistical, and ML models for data accuracy
Build ML workflows and data pipelines using Databricks and AWS S3
Clean and transform data from disparate sources into high-quality model inputs
Write well-documented, production-quality code following software engineering practices
Create Tableau visualizations and turn research findings into data-driven recommendations
This job description outlines the responsibilities and qualifications for an AI / ML Data Scientist II role with a primary focus on designing, building, and deploying scalable machine learning systems, software engineering best practices, and the application of AI/ML principles within Machine Learning and Data Science contexts.
Implement, test, and optimize econometric, statistical, and Machine Learning (ML) models to enhance data accuracy and reporting.
Design comprehensive ML workflows, develop reliable data pipelines (using Databricks/AWS S3), execute sophisticated model training and evaluation, and clearly summarize results.
Identify, integrate, clean, and transform data from disparate and complex data sources to ensure high-quality inputs for ML models.
Develop, share, and maintain efficient, well-documented, production-quality code following software engineering best practices.
Create simple, meaningful visualizations (e.g., using Tableau) to effectively support data analysis and clearly communicate insights and findings to stakeholders.
Key Skills & Qualifications - Bachelor’s Degree or higher in Mathematics, Statistics, Computer Science, Data Science, Data Engineering, or a closely related quantitative field. - 3-6 years of professional experience in a Data Engineer or similar quantitative role.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 23
Similar jobs usually come down between day 6 and day 71.
Well past The Nielsen Company’s usual: its jobs come down by about day 8.
From 4,672 similar postings that came down, and 124 of The Nielsen Company’s. Coming down is not always a hire.
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Proven ability to manipulate, analyze, and interpret complex data sources to effectively "tell a story from data" through impactful analyses. - Proficiency in Python, PySpark, SQL, Artificial intelligence and Machine learning - Deep understanding and application of Statistics, including hypothesis testing, regression analysis, and experimental design.
- Quickly learn and become an expert in Audience Measurement and the associated digital meter technology for data collection. - Design comprehensive ML workflows, develop reliable data pipelines (using Databricks/AWS S3), execute sophisticated model training and evaluation, and clearly summarize results. - Identify, integrate, clean, and transform data from disparate and complex data sources to ensure high-quality inputs for ML models.
- Proactively incorporate quality checks throughout the ML development lifecycle to detect and correct errors swiftly. - Create simple, meaningful visualizations (e.g., using Tableau) to effectively support data analysis and clearly communicate insights and findings to stakeholders. - Translate complex research findings into clear, data-driven recommendations that address business needs and drive product/technology improvements.
- Deep understanding and application of Statistics, including hypothesis testing, regression analysis, and experimental design. - Experience with trending and visualizing data using tools like Tableau - Familiarity with Media Data Lake (MDL) concepts is a plus.
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Yes. We’ve followed 2 other AI / ML Data Scientist II jobs there since June 2026. 2 came down, usually after about 31 days.
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
About the Role
This job description outlines the responsibilities and qualifications for an AI / ML Data Scientist II role with a primary focus on designing, building, and deploying scalable machine learning systems, software engineering best practices, and the application of AI/ML principles within Machine Learning and Data Science contexts.
Audience is everything! Nielsen offers the world's most complete measurement of media-viewing behavior. Our data scientists and ML engineers leverage the best data assets and modeling methods to build consistent and comparable metrics of the media landscape in multiple countries. We help the world's biggest brands make better and faster media and marketing decisions.
Responsibilities
Key Skills & Qualifications
Business Skills:
Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.
At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.
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Bengaluru, India
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