Senior Data Scientist

Verizon; Basking Ridge (NJ); Hybrid; USD 110,000 - 140,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k) matching

Paid parental leave

Tuition assistance

Job summary

Verizon in the United States seeks a data scientist to drive data-derived insights across business domains by developing advanced statistical models and ML algorithms. You will gather data, assess validity, build datasets, and present findings to leadership while mentoring junior teammates.

The role requires strong analytical skills and the ability to work with global teams in a hybrid office setup. Experience with Python, SQL, PySpark, and ML techniques, plus familiarity with GenAI/LLM tools,

Qualifications

• Bachelor's degree or four or more years of work experience.
• Four or more years of relevant analytics/predictive modelling experience.
• Experience with end-to-end Analytics projects (Ingestion, Munging, Model Building, Validation, Operationalization, Monitoring).
• Experience with Python, SQL, PySpark, Scala and/or other languages/tools.

Responsibilities

• Drive data-derived insights across the business domain by developing advanced statistical models, machine learning algorithms and computational algorithms.
• Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals.
• Analyze structured and unstructured data using data mining/statistical/machine learning/deep learning tools and storytelling.
• Build and train statistical models and ML algorithms.
• Perform tasks related to Operationalization (wrapper scripts, REST services, triggers, monitoring).
• Prepare supporting documents and reports.
• Mentor/guidance to team members on technical aspects.

Skills

Python

SQL

PySpark

Scala

Machine Learning

Deep Learning

Data Visualization

Education

Bachelor's degree

Master's degree

Tools

GenAI/LLM tools

Job description

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...

• 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.

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

• medical
• dental
• vision
• short and long term disability
• basic life insurance
• supplemental life insurance
• AD&D insurance
• identity theft protection
• pet insurance
• group home & auto insurance
• matched 401(k) savings plan
• up to 8 company paid holidays per year
• up to 6 personal days per year
• paid parental leave
• adoption assistance
• tuition assistance
• plus other incentives

Depending on the role,