Back to jobs

Data Science Consultant

Pay
Multiple pay statements — pay source
The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours. The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $81,000.00 - $155,000.00. The annual salary range for the New York location(s) listed on this job requisition based on a full-time schedule is: $89,000.00 - $155,000.00.
The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $81,000.00 - $155,000.00. The annual salary range for the New York location(s) listed on this job requisition based on a full-time schedule is: $89,000.00 - $155,000.00.
Read the full posting
Work setting
Not stated
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
  • Evaluate and improve marketing campaign effectiveness with A/B tests and ROI analysis

  • Help build ML models that predict customer behavior, churn, sales, and revenue

  • Design customer lifecycle and churn programs to find retention opportunities

  • Build executive dashboards and standardized reporting frameworks

  • Turn complex analysis into business recommendations within retention cost limits

From the employer’s posting
Evaluating and enhancing marketing campaign effectiveness using advanced analytics, A/B testing frameworks, and ROI analysis.
Partnering with AI&A team to support the development of sophisticated ML models to predict customer behavior, churn patterns, sales transactions, and revenue.
Developing unique customer lifecycle strategies and cross-BAU behavioral churn programs to proactively identify retention opportunities.
Assisting in the creation of executive dashboards, standardized reporting frameworks, and compelling visualizations
Translating complex analytical findings into clear business recommendations, managing the Cost of Retention (COR) within financial guidance
Education & alternatives
You’ll need to have: - Bachelor’s degree or four or more years of work experience. - Four or more years of relevant experience required, demonstrated through work experience and/or military experience.
Even better if you have one or more of the following: - A Master's degree in Data Science, Machine Learning (ML), Artificial Intelligence (AI), Statistics, or a related STEM field. - Experience in applying statistical ideas and methods to data sets to answer business problems.
Apply at Verizon

Posting record

Report an error

Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 29, 20266 days ago
Recorded sightings
8
Last seen by us
Nov 5, 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

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 6

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

At Verizon, jobs usually come down by about day 9.

From 10,201 similar postings that came down, and 26 of Verizon’s. Coming down is not always a hire.

Verizon is hiring

14 open jobs

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

  • Takes jobs down quickly
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
  • R
  • SQL
  • BigQuery
  • Looker
  • JavaScript
  • GCP
Where the posting names them
- Experience in applying statistical ideas and methods to data sets to answer business problems. - Experience with programming languages, like Python, JS, or R. - Experience with Machine Learning algorithms and tools.
- Experience with Google Cloud Platform (Big Query / Vertex AI / Looker / LookML / Looker Studio Pro). - Experience with programming language SQL. - Experience translating business problems into analytical solutions.
- Experience with data modeling using LookML in the Looker platform. - Experience with Google Cloud Platform (Big Query / Vertex AI / Looker / LookML / Looker Studio Pro). - Experience with programming language SQL.
- Experience in advanced analytics, measurement, or data science. - Experience in Looker & Qlik or similar visual analysis tool, optimization, analytics and large data sets, project management, developing visually compelling interactive dashboards. - Experience with data modeling using LookML in the Looker platform.
- Experience in Looker & Qlik or similar visual analysis tool, optimization, analytics and large data sets, project management, developing visually compelling interactive dashboards. - Experience with data modeling using LookML in the Looker platform. - Experience with Google Cloud Platform (Big Query / Vertex AI / Looker / LookML / Looker Studio Pro).

Your next step

Complete your application on verizon.wd12.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

  • You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
  • “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Has Verizon posted this job before?

Yes. We’ve followed one other Data Science Consultant job there since October 2026. It is still up.

  1. Basking RidgeStill up after 9 days, first seen Oct 27
  2. This jobUp 7 days so far, first seen Oct 29

About Verizon

People
About 89,900 in 2025, down 10% from the year before.Annual report (SEC Form 10-K)
Company
Listed as VZ.
Layoff notices
Notices this year and last cover 193 people. The latest was filed November 20, 2025.State WARN notices

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 ↗

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

What you’ll be doing...


Working side-by-side with the consumer base marketers in the Mobile consumer business. We’re looking for someone who can use data to craft strategy and solutions to join our team. You’ll analyze internal and external data to help identify and quantify the potential of new products, forecast sales, and provide decision support through the life of the product. You will be working with multiple partners and balancing their needs to craft the direction of our new offerings and enable the product team to bring the best new products to market.


Responsibilities include:

  • Evaluating and enhancing marketing campaign effectiveness using advanced analytics, A/B testing frameworks, and ROI analysis.
  • Partnering with AI&A team to support the development of sophisticated ML models to predict customer behavior, churn patterns, sales transactions, and revenue.
  • Performing advanced analytics, modeling and data mining to develop insights on our business.
  • Developing unique customer lifecycle strategies and cross-BAU behavioral churn programs to proactively identify retention opportunities.
  • Assisting in the creation of executive dashboards, standardized reporting frameworks, and compelling visualizations to ensure data-driven decision-making is embedded across the organization.
  • Translating complex analytical findings into clear business recommendations, managing the Cost of Retention (COR) within financial guidance and supporting strategic marketing plans.
  • Monitoring performance and reporting ongoing and ad hoc metrics in reports, presentations, and dashboards targeted to the situation and audience.
  • Partnering with teams like Network Engineering, Digital Operations, Finance, and Marketing to align analytical solutions with business goals.


What we’re looking for...


You believe that proven data should be behind every important decision. You are a numbers person but you also have a strategic approach. You bring both a business perspective and an understanding of the marketplace—and not just theory and numbers. You have a knack for understanding and visualizing just the right way to share data and practical insights so that people can understand. People trust you based upon your thoughtful and detailed analyses.


You’ll need to have:

  • Bachelor’s degree or four or more years of work experience.
  • Four or more years of relevant experience required, demonstrated through work experience and/or military experience.
  • Experience in advanced analytics, measurement, or data science.
  • Experience in Looker & Qlik or similar visual analysis tool, optimization, analytics and large data sets, project management, developing visually compelling interactive dashboards.
  • Experience with data modeling using LookML in the Looker platform.
  • Experience with Google Cloud Platform (Big Query / Vertex AI / Looker / LookML / Looker Studio Pro).
  • Experience with programming language SQL.
  • Experience translating business problems into analytical solutions.

Even better if you have one or more of the following:

  • A Master's degree in Data Science, Machine Learning (ML), Artificial Intelligence (AI), Statistics, or a related STEM field.
  • Experience in applying statistical ideas and methods to data sets to answer business problems.
  • Experience with programming languages, like Python, JS, or R.
  • Experience with Machine Learning algorithms and tools.
  • Demonstrated knowledge of Omni Channel metrics and data domain principles.
  • Experience in visual science / dashboard design principles.
  • Foundational understanding of Generative AI principles, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) frameworks (e.g., LangChain, LlamaIndex, vector databases).
  • A passion for educating and communicating analytic findings and insights with integrity to all levels: from going over raw output with colleagues to creating presentations and storyboards that captivate and succinctly convey complex ideas to our strategic business partners.
  • Innovative, proactive, and collaborative approach to problem-solving.

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.


Where you’ll be working

In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

Scheduled Weekly Hours

40

Equal Employment Opportunity 

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

Benefits and Compensation

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.

The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $81,000.00 - $155,000.00.

The annual salary range for the New York location(s) listed on this job requisition based on a full-time schedule is: $89,000.00 - $155,000.00.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours. The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $81,000.00 - $155,000.00. The annual salary range for the New York location(s) listed on this job requisition based on a full-time schedule is: $89,000.00 - $155,000.00.
More source context
The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $81,000.00 - $155,000.00. The annual salary range for the New York location(s) listed on this job requisition based on a full-time schedule is: $89,000.00 - $155,000.00.
Location & working pattern

Basking Ridge, New Jersey

Where you’ll be working In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies. Scheduled Weekly Hours
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.