Senior Data Scientist
About The Position
As a Senior Data Scientist on Verizon’s Sales and Marketing Technology team, you will evaluate third-party B2B data for sales and marketing use. You will validate data, address missing values, and analyze sources such as vendor news feeds, buyer intent signals, and firmographics. You will build AI/ML models that turn raw data into actionable insights to help sales and marketing teams deliver relevant services and products to customers at the right time. The role involves developing end-to-end analytical solutions, communicating findings to leadership, and collaborating with global and cross-functional teams. It also includes operationalizing models, preparing supporting documentation and reports, and mentoring or guiding one to two team members on technical aspects as needed. This is a hybrid position requiring at least three days per week in the office and work from home on the remaining days. The work location is set by the manager, and employees are responsible for complying with hybrid work policies. The role is scheduled for 40 hours per week.
Requirements
- Bachelor’s degree or four or more years of work experience.
- Four or more years of relevant experience, demonstrated through work experience and/or 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 such as firmographics, contact details, technographics, and buyer intent signals.
- Experience using GenAI/LLM tools (for example, Claude Code) to accelerate software delivery and development velocity.
- Experience with all phases of end-to-end analytics projects, including ingestion, data munging, model building, validation, operationalization, and monitoring.
- Experience building models using supervised and unsupervised machine learning, deep learning, text classification, or other statistical techniques.
- Knowledge of Python, SQL, PySpark, Scala, and/or other languages and tools.
Nice To Haves
- Master’s degree.
- Experience working with third-party B2B data such as firmographics, contact details, technographics, and buyer intent signals in the telecommunications industry.
- Experience working on analytical projects in the telecom domain.
- Accuracy and attention to detail.
- Experience with data lakes.
- Problem-solving, analytical, and research skills.
- Excellent verbal and written communication skills.
- 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.
Responsibilities
- Develop advanced statistical, machine-learning, and computational models and algorithms to address business initiatives.
- Direct data gathering, 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, visualization, and digital/web analytics tools and techniques; communicate findings through storytelling.
- Build and train statistical models and machine-learning algorithms.
- Perform model operationalization tasks, such as creating wrapper scripts, REST services, triggers, and monitoring.
- Prepare supporting documents and reports.
- Mentor or guide one to two team members on technical aspects as needed.
Benefits
- Medical, dental, and vision benefits.
- Short- and long-term disability insurance.
- Basic and supplemental life insurance and AD&D insurance.
- Identity theft protection.
- Pet insurance.
- Group home and auto insurance.
- 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.
- Tuition assistance.
- Potential premium pay, such as overtime, shift differential, holiday pay, and allowances, depending on the role.
- Up to 15 days of vacation per year for newly hired employees, increasing with additional service.
- Other incentives and an award-winning total rewards package.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
