Associate Director- Data Science

Verizon • Alpharetta, GA

3d • $126,000 - $242,000 • Hybrid

About The Position

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.

Requirements

• Bachelor’s degree or four or more years of work experience.
• Eight or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
• Strong Predictive / Prescriptive modeling experience.
• Demonstrated experience developing Large Language Model (LLM) applications and agentic workflows using frameworks such as LangChain, LlamaIndex, or similar technologies.
• Proven background in MLOps practices, including model deployment, pipeline automation, and proficiency with lifecycle management tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, Vertex AI, or AWS SageMaker).
• Advanced proficiency in SQL, Python (/R) and data visualization tools (Tableau, Qlik or native Python or other libraries like Plotly/Streamlit etc).
• High proficiency with Microsoft Excel and PowerPoint.
• Experience leading a team and managing large complex projects involving multiple work streams and stakeholders.

Nice To Haves

• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) is highly preferred.
• Strong storytelling to drive recommendations based on the data analysis and articulate trade offs and communication plan to senior executives.
• Ability to translate complex ideas and express them in concise, simple to understand ways.
• Proven ability to take initiative, influence others and achieve results.
• Experience gathering, organizing and analyzing large amounts of information.
• Experience presenting ideas and content to a variety of stakeholders at various levels.
• Experience working collaboratively with a variety of stakeholders.
• Advanced research, analytical, and critical thinking skills with the ability to see things not readily apparent to others and to find unique solutions to complex challenges.
• Experience managing and influencing relationships at the senior executive level.
• Ability to present and interact with all levels of management.
• Excels at working under pressure on multiple projects simultaneously while meeting deadlines with frequent interruptions and redefined priorities.
• Skilled and comfortable at working within the marketing matrix.

Responsibilities

• Leading a strong internal data analytics team to support the business.
• Partnering with others to understand business challenges.
• Crafting creative approaches to uncover the biggest opportunities for cost and time savings.
• Defining and driving the analytics strategy and modeling approaches.
• Driving the adoption of analytics in decision making.
• Design, implement, and orchestrate advanced AI solutions, including Generative AI and autonomous agent workflows (e.g., multi-agent systems), to automate complex processes and generate novel insights.
• Research and build proof-of-concept models utilizing various machine learning techniques & traditional statistical techniques to drive optimal business decisions for various use cases like call-routing, revenue growth through initiatives like driving Walmart+ and other subscriptions, and scale these models into production using established MLOps pipelines for continuous monitoring and lifecycle management.
• Advanced knowledge of experimental design and testing frameworks like A/B testing, Multi-armed Bandit testing etc. to guide optimal decisions across various key base-management initiatives related to churn reduction, revenue growth and customer satisfaction.
• Work on building either cloud-based predictive modeling solutions (AWS/GCP using Pyspark or similar tools) or general predictive solutions depending on the use case, architecting scalable MLOps frameworks for continuous integration, continuous deployment (CI/CD), and automated model retraining.
• Synthesize predictive insights to concrete business actions and collaborate with teams across the value organization (Finance / Marketing / Operations / GTS / AI&D etc.) to drive successful business outcomes.

Benefits

• 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.
• 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
• premium pay such as overtime, shift differential, holiday pay, allowances, etc.
• up to 15 days of vacation per year

What This Job Offers

• Job Type: Full-time
• Career Level: Manager