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Day 19
Similar jobs usually come down between day 6 and day 69.
From 4,284 similar postings that came down. Coming down is not always a hire.
AI / ML Data Scientist II
Reads like a ML Engineer role: putting models into production.
Bengaluru, India
Live, first seen by us 19 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingThis 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
From 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 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.
Education & alternatives
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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 15, 202619 days ago
- Recorded sightings
- 50
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
The Nielsen Company is hiring
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
- 50% of open jobs were reposted
See how this role fits your experience
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.
- Python
- SQL
- AWS
- Databricks
- S3
- Tableau
- PySpark
Where the posting names them
- 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.
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Applying through SmartRecruiters
- Uploading your resume fills in the application form for you, so check what it filled before you send.
Already applied? Track this application
Has The Nielsen Company posted this job before?
Yes. We’ve followed 2 other AI / ML Data Scientist II jobs there since June 2026. 2 came down, usually after about 31 days.
Job description
Job Description
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.
Qualifications
Responsibilities
- Implement, test, and optimize econometric, statistical, and Machine Learning (ML) models to enhance data accuracy and reporting.
- Identified the AI opportunities in existing and new projects and implemented them.
- 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.
- Develop, share, and maintain efficient, well-documented, production-quality code following software engineering best practices.
- 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.
- Partner closely with department stakeholders (Engineering, Data Science, Product, Technology) to manage timelines, share data, execute tests, and present results.
Additional Information
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.
- 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.
- Experience with trending and visualizing data using tools like Tableau
- Familiarity with Media Data Lake (MDL) concepts is a plus.
Business Skills:
- Excellent oral and written communication
- Self-motivation and an ability to handle multiple competing priorities in a fast-paced environment
- Strong interpersonal skills and the ability to develop effective relationships with other team members, including remotely.
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.
Company Description
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.
Source details
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- Pay
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- Location & working pattern
Bengaluru, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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