Senior Data Scientist

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  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

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, techno graphics, 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…