Associate Director – Data Science

Verizon

Verizon data science leader building predictive AI platforms and Next Best Action recommendations. Leading engineering teams and modernizing enterprise data and CRM architectures.

Posted 8/17/2026full-timeAlpharetta • Florida • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science leadership, analytics strategy, and the development of real-time predictive platforms. Proficient in translating complex data insights into actionable business strategies while managing technical teams and driving data-driven decision-making.

Highest-signal resume keywords

Data Science LeadershipReal-Time Recommendation EnginesPython ProgrammingCloud Platforms (GCP BigQuery)Quantitative Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative ModelingStatisticsData MiningPythonFastAPIReactSQLRESTful APIsAnomaly Detection ModelsGenerative AI Tools

Soft Skills

CommunicationCross-Functional LeadershipStakeholder ManagementCoachingMentoring

Tools & Technologies

GCP BigQueryData CatalogsThird-Party Data IntegrationsCloud Infrastructure Cost GovernanceJSON Caching

Industry Keywords

B2B DataFirmographicsTechnographicsBuyer Intent SignalsMulti-Tenant Routing Architectures

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPythonReactSQL

About the role

Key responsibilities & impact

Define the analytics strategy and champion data-driven decision making across the business
Lead data science and platform engineering initiatives to shift the commercial model from reactive to proactive
Deploy real-time predictive platforms and build autonomous AI discovery tools
Modernize data architectures for enterprise cloud and CRM migrations
Own and lead the data science engineering team, including planning, coaching, mentoring, and performance assessment
Embed generative AI capabilities such as Claude Code into daily engineering workflows
Translate business challenges and rep or analyst pain points into automated sales plays, targeted campaigns, and personalized recommendations
Build real-time Next Best Action recommendation scoring pipelines across multiple hierarchy grains
Build business cases and translate analytical findings into practical business implications
Ensure recommendation engines generate sales plays, leads, and personalized actions at business, account, line, ECPD, NASP, and BUID levels
Drive analytics adoption in decision making
Manage third-party data vendor integrations and automate refresh cycles

Requirements

What you’ll need

Bachelor’s degree or four or more years of work experience
Eight or more years of relevant experience required, through work and/or military experience or specialized training
Experience with quantitative modeling, statistics, or data mining
Experience with third-party B2B data, including firmographics, contact details, technographics, and buyer intent signals
Experience leading, coaching, managing, and developing technical teams of data scientists, machine learning engineers, or software engineers
Coding experience with Python, FastAPI, React, SQL, and RESTful APIs
Experience with cloud platforms such as GCP BigQuery
Experience with multi-tenant routing architectures and enterprise Data Catalogs
Hands-on experience building real-time recommendation engines, multi-dimension feature vectors, and anomaly detection models
Experience using GenAI/LLM tools such as Claude Code
Experience in cloud infrastructure cost governance, including JSON caching, cache-first scoring, and prompt batching
Demonstrated communication, cross-functional leadership, and stakeholder management skills
Ability to resolve executive escalations

Benefits

Comp & perks

Medical, dental, and vision coverage
Short- and long-term disability insurance
Basic life insurance
Supplemental life insurance
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
Up to 6 personal days per year
Paid parental leave
Adoption assistance
Tuition assistance
Premium pay opportunities such as overtime, shift differential, holiday pay, and allowances
Up to 15 days of vacation per year for newly hired employees, increasing with additional service
Incentive-based compensation with potential to earn more