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Senior Data Scientist I

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 posting

The Senior Data Analyst I develops analytic solutions that provide transparency to and enable critical business decisions regarding panel health, sample performance, and operational efficiency.

  • Build predictive models and rate forecasts to find cost savings in panel operations

  • Decode and document legacy business logic, then convert it into new analytics tools

  • Lead analytics projects from conception to deployment, including production support

  • Automate and optimize tools that plan, predict, and monitor sample performance

  • Build executive dashboards and quantitative insights for business stakeholders

From the employer’s posting
The Senior Data Analyst I develops analytic solutions that provide transparency to and enable critical business decisions regarding panel health, sample performance, and operational efficiency. In this role, you will apply a strong mathematical and statistical background to build predictive and prescriptive models aimed at optimizing operational spending—specifically reducing panelist incentives and operational costs without impacting panel performance, data quality, or core KPIs. Additionally, you will play a key role in tool migration initiatives, decoding complex logic from legacy workflows and data pipelines and re-engineering them into modern analytics frameworks. The ideal candidate brings 5+ years of experience, exhibits excellent project leadership skills, and communicates complex statistical insights clearly across technical and non-technical stakeholders.
Apply advanced statistical methods, rate forecasting, and predictive modeling to identify cost-saving opportunities across panel operations
decode, reverse-engineer, and document complex business logic embedded within legacy workflows and data pipelines
Lead analytics projects independently from conception to deployment, managing project timelines, production support
Design, automate, and optimize analytics tools to better plan, predict, and monitor sample performance
deliver actionable insights and executive dashboards for business stakeholders

What you’ll bring

All qualifications

Core experience

  • Experience: 5+ years of experience in quantitative analysis, data science, data analytics, or operations research.
  • 5+ years querying large relational databases using SQL (e.g., PostgreSQL, Oracle).
  • Experience with process improvement methodologies such as Lean or Six Sigma.
  • 5+ years using scripting languages for data manipulation and statistical modeling (e.g., Python with SciPy, NumPy, and Pandas).
  • Familiarity with Agile project management tools (Jira, Confluence, or Smartsheets).
  • 5+ years in data integration, analytics workflow conversion, and ETL tools (e.g., Alteryx, Databricks).
Qualification wording
Experience: 5+ years of experience in quantitative analysis, data science, data analytics, or operations research.
5+ years querying large relational databases using SQL (e.g., PostgreSQL, Oracle).
Experience with process improvement methodologies such as Lean or Six Sigma.
5+ years using scripting languages for data manipulation and statistical modeling (e.g., Python with SciPy, NumPy, and Pandas).
Familiarity with Agile project management tools (Jira, Confluence, or Smartsheets).
5+ years in data integration, analytics workflow conversion, and ETL tools (e.g., Alteryx, Databricks).
Education & alternatives
Qualifications & Experience - Education: Bachelor’s or Master’s degree in Statistics, Mathematics, Analytics, Data Science, Computer Science, or a related quantitative field. - Experience: 5+ years of experience in quantitative analysis, data science, data analytics, or operations research.
Apply at The Nielsen Company

Posting record

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Likely evergreenReposted 4 times since May 11, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.

Status in our records
Live
First seen by us
Nov 4, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 5, 2026
Reposted
4 times since May 11, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 7 and day 56.

At The Nielsen Company, jobs usually come down by about day 8.

From 10,289 similar postings that came down, and 124 of The Nielsen Company’s. Coming down is not always a hire.

The Nielsen Company is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring has slowed
  • Takes jobs down quickly
  • 30% of open jobs were reposted
Hiring record

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
  • Oracle
  • PostgreSQL
  • Tableau
  • NumPy
  • pandas
  • SciPy
Where the posting names them
- 5+ years querying large relational databases using SQL (e.g., PostgreSQL, Oracle). - 5+ years using scripting languages for data manipulation and statistical modeling (e.g., Python with SciPy, NumPy, and Pandas). - 5+ years in data integration, analytics workflow conversion, and ETL tools (e.g., Alteryx, Databricks).
- Technical & Migration Skills: - 5+ years querying large relational databases using SQL (e.g., PostgreSQL, Oracle). - 5+ years using scripting languages for data manipulation and statistical modeling (e.g., Python with SciPy, NumPy, and Pandas).
- Familiarity with Agile project management tools (Jira, Confluence, or Smartsheets). - Alteryx Core Certification or experience working with cloud ecosystems (Databricks, AWS). 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.
- 5+ years using scripting languages for data manipulation and statistical modeling (e.g., Python with SciPy, NumPy, and Pandas). - 5+ years in data integration, analytics workflow conversion, and ETL tools (e.g., Alteryx, Databricks). - 5+ years developing visualizations and executive dashboards using tools such as Tableau or BI platforms
- 5+ years in data integration, analytics workflow conversion, and ETL tools (e.g., Alteryx, Databricks). - 5+ years developing visualizations and executive dashboards using tools such as Tableau or BI platforms - Communication & Leadership Competencies:

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Has The Nielsen Company posted this job before?

Yes. We’ve followed 4 other Senior Data Scientist I jobs there since May 2026. 4 came down, usually after about 9 days.

  1. BengaluruCame down after 2 days, first seen May 11
  2. BengaluruCame down after 51 days, first seen Jun 1
  3. United StatesCame down after 4 days, first seen Jun 18
  4. BengaluruCame down after 14 days, first seen Sep 21
  5. This jobUp 1 day so far, first seen Nov 4

If this one keeps the same pace, it may come down around November 13.

Large employers often post one title for several teams, so these can be separate openings.

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,826.
August 17Last week

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.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Job Description

About the Role

The Senior Data Analyst I develops analytic solutions that provide transparency to and enable critical business decisions regarding panel health, sample performance, and operational efficiency. In this role, you will apply a strong mathematical and statistical background to build predictive and prescriptive models aimed at optimizing operational spending—specifically reducing panelist incentives and operational costs without impacting panel performance, data quality, or core KPIs. Additionally, you will play a key role in tool migration initiatives, decoding complex logic from legacy workflows and data pipelines and re-engineering them into modern analytics frameworks. The ideal candidate brings 5+ years of experience, exhibits excellent project leadership skills, and communicates complex statistical insights clearly across technical and non-technical stakeholders.

Qualifications

Key Responsibilities

  • Statistical Modeling & Cost Optimization: Apply advanced statistical methods, rate forecasting, and predictive modeling to identify cost-saving opportunities across panel operations, specifically driving reductions in panelist incentive costs while maintaining data integrity and key performance metrics.
  • Tool Migration & Logic Decoding: Work closely with stakeholders to decode, reverse-engineer, and document complex business logic embedded within legacy workflows and data pipelines, successfully converting and migrating them into new analytics tools and console frameworks.
  • Independent Project Leadership: Lead analytics projects independently from conception to deployment, managing project timelines, production support, and the delivery of business-critical solutions.
  • Process Automation & Tech Debt Reduction: Design, automate, and optimize analytics tools to better plan, predict, and monitor sample performance, significantly reducing tech debt associated with legacy architectures.
  • Business Intelligence & Insights: Conduct research and quantitative analysis using descriptive, prescriptive, and statistical methods to deliver actionable insights and executive dashboards for business stakeholders.
  • Cross-Functional Collaboration & Governance: Collaborate with cross-functional teams to align analytics workflows, implement data governance processes, and ensure timely issue resolution and production delivery.

Additional Information

Qualifications & Experience

  • Education: Bachelor’s or Master’s degree in Statistics, Mathematics, Analytics, Data Science, Computer Science, or a related quantitative field.
  • Experience: 5+ years of experience in quantitative analysis, data science, data analytics, or operations research.
  • Statistical Mastery: Strong background in statistical modeling and testing procedures (e.g., A/B testing, ANOVA, Regression, Time Series, Correlation, and hypothesis testing).
  • Technical & Migration Skills:
  • 5+ years querying large relational databases using SQL (e.g., PostgreSQL, Oracle).
  • 5+ years using scripting languages for data manipulation and statistical modeling (e.g., Python with SciPy, NumPy, and Pandas).
  • 5+ years in data integration, analytics workflow conversion, and ETL tools (e.g., Alteryx, Databricks).
  • 5+ years developing visualizations and executive dashboards using tools such as Tableau or BI platforms
  • Communication & Leadership Competencies:
  • Excellent verbal and written communication skills with a proven ability to explain complex statistical concepts to non-technical audiences concisely.
  • Ability to lead projects independently, prioritize multiple assignments, and solve complex problems in time-critical environments.
  • Strong attention to detail, commitment to data quality, and proactive drive for process improvement.

Optional Qualifications

  • Experience with process improvement methodologies such as Lean or Six Sigma.
  • Familiarity with Agile project management tools (Jira, Confluence, or Smartsheets).
  • Alteryx Core Certification or experience working with cloud ecosystems (Databricks, AWS).

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.

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Bengaluru, India

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