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Associate Director-AI Science

Job

VERIZON DATA SERVICES INC

Remote

$97,000 Salary, Full-Time

Posted 1 week ago (Updated 1 day ago) • Actively hiring

Expires 7/4/2026

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Job Description

Salary Confidential Position range in Dallas County $63k - $131k Per Year Associate Director-AI Science

VERIZON DATA SERVICES INC

Occupation:

Data Scientists

Location:

Irving, TX - 75038

Job Type:

Regular, Full Time (30 Hours or More), Permanent Employment

Posted:

05/22/2026 Positions available: 1

Source:

WorkInTexas

Web Site:

WorkInTexas Onsite /

Remote:

Onsite and Remote options

Updated:

05/25/2026

Expires:

06/23/2026 Job #: 17018238 Job Requirements and Properties Help for Job Requirements and Properties. Hybrid Education Bachelor's Degree Experience 96 Month(s) Schedule Full Time Job Type Regular Duration Permanent Employment Hours 40 Hours Per Week Help for . Associate Director-AI Science needed by Verizon in Irving, TX (hybrid role, may work from home): Lead a data science and analytics team to create data-driven solutions and insights, applying advanced data science techniques to solve network-related problems, collaborating with other teams across AI&D to build and integrate predictive and prescriptive models that drive value for the business, and working with various business units to ensure that the team's strategy is aligned with broader company goals (20%); Responsible for leading data mining, extraction of valuable insights from large datasets, validation of data quality, and exploratory and targeted data analyses using statistical methods to uncover trends and patterns that can inform business decisions (30%); Lead the development of network models and data products, using network performance data to provide insights for Network Field Engineering and Centralized Planning & Engineering and to build solutions that contribute to a "self-optimizing and healing network" (30%); Identify OKRs and KPIs for various projects to ensure that the economic impact of the models can be continuously measured and validated, and create business cases and translate complex data findings into practical business implications for stakeholders (20%).