Senior Data Scientist

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...

As a Senior Data Scientist for the Sales and Marketing Technology team, you will evaluate a variety of B2B 3rd party data for use by our sales and marketing teams. You will validate the data, address any missing values, and analyze it for a variety of sales and marketing use cases. You will take raw B2B data sources that include vendor news feeds, buyer intent signals, and firmographics and build AI/ML models that will take that raw data and turn it into actionable insights useable by our sales and marketing teams to deliver the right services and products to the right customer at the right moment in time.

In this role you will be...

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.

Analyzing 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.

Where you'll be working...

In this hybrid role, your work will include 3 days in the office and 2 days working from home. You must live within a commutable distance to one of the locations listed on this posting

Requirements

• 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 with 3rd party B2B data such as firmographics, contact details, technographics, and buyer intent signals from the telecommunications industry
• 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 Hours
• 40

Benefits

• 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.