Senior Data Scientist

Posted Yesterday
Be an Early Applicant
3 Locations
In-Office
101K-194K Annually
Senior level
Information Technology • Internet of Things • Other • Cybersecurity • Infrastructure as a Service (IaaS)
The Role
Develop end-to-end analytics and AI/ML solutions, including data gathering, validation, modeling, visualization, operationalization, monitoring, and reporting. Build statistical, machine learning, deep learning, and text classification models using structured and unstructured data. Generate business insights, mentor team members, collaborate with cross-functional partners, and communicate findings to leadership.
Summary Generated by Built In
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...


As a Senior Data Scientist you will own and perform specific analytics tasks as well as lead and drive end to end solutions for AI/ML use cases with guidance from lead / manager.


  • Driving data-derived insights across the business domain by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives.
  • Directing the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals.
  • Analysing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling.
  • Building and training statistical models and machine learning algorithms.
  • Performing tasks related to Operationalization - eg. wrapper script, REST service, Trigger, Monitoring etc.
  • Preparing all the supporting documents and reports.
  • Mentoring/Guiding one to two members in the team on technical aspects as needed.

What we’re looking for...


You have strong analytical skills, and are eager to work in a collaborative environment with global teams to drive ML application in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions.


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.
  • Four or more years of experience in advanced analytics/ predictive modelling , quantitative modeling, statistics, or data mining.
  • Experience in 3rd party B2B data such as firmographics, contact details, technographics, and buyer intent signals.
  • Experience utilizing GenAI/LLM tools (e.g., Claude Code) to accelerate software delivery and development velocity.
  • Experience with all phases of end-to-end Analytics project, such as (but not limited to): Ingestion, Munging, Model Building, Validation, Operationalization, Monitoring.
  • Experience building models using statistical techniques such as Supervised and Unsupervised Machine Learning models, Deep learning, Text classification etc.
  • Knowledge of Python, Sql, PySpark, Scala and/or other languages and tools.

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


  • Master's degree.
  • Experience working in analytical projects in telecom domain.
  • Accuracy and attention to detail.
  • Experience in data lake.
  • Problem solving, analytical, and research skills.
  • Excellent verbal and written communication.
  • Experience presenting to and influencing functional leaders and partners.
  • Ability to work effectively independently and willingness to learn new technologies.
  • Experience working with cross-functional teams in a dynamic environment.

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 Hours40

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: $101,000.00 - $194,000.00.

Skills Required

  • Bachelor's degree or four or more years of work experience
  • Four or more years of relevant work experience, including military experience
  • Four or more years of experience in advanced analytics, predictive modeling, quantitative modeling, statistics, or data mining
  • Experience with third-party B2B data, including firmographics, contact details, technographics, and buyer intent signals
  • Experience utilizing GenAI or LLM tools, such as Claude Code, to accelerate software delivery
  • Experience with end-to-end analytics projects, including ingestion, data munging, model building, validation, operationalization, and monitoring
  • Experience building supervised and unsupervised machine learning, deep learning, and text classification models
  • Knowledge of Python, SQL, PySpark, Scala, or other languages and tools
  • Master's degree
  • Experience with analytical projects in the telecommunications domain
  • Experience working with data lakes
  • Experience presenting to and influencing functional leaders and partners

Verizon Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Verizon and has not been reviewed or approved by Verizon.

  • Fair & Transparent Compensation Fairness and competitiveness of pay are highlighted through statements such as “pay is good,” “pays very well,” and “the compensation at VZ is very competitive.” High earning potential is also described for certain roles, including base pay plus commissions and bonuses.
  • Healthcare Strength Healthcare coverage is portrayed as comprehensive, spanning medical, dental, and vision with before-tax contributions and preventive-care credits. Increased HSA contributions and multiple plan options further reinforce the perceived strength of health benefits.
  • Retirement Support Retirement offerings are positioned as robust, including a strong 401(k) match, pension eligibility for some groups, and additional financial protections like life and long-term disability coverage. Union contract updates also point to pension increases and retirement security improvements.

Verizon Insights

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The Company
HQ: New York, NY
Year Founded: 2000

What We Do

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We're a diverse network of people driven by our shared ambition to move the world forward - collectively building the network America relies on most. Here, we have the ability to learn and grow at the speed of technology, the space to create within every role, and the opportunity to shape a rewarding career.

Why Work With Us

Integrity. Respect. Excellence. Accountability. These are some of the key values at the heart of our Credo. This code of conduct lays out how we show up as a responsible business every day. It is the blueprint that inspires us to live up to the highest standards and defines who we are and how we work.

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