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Executive Data Science Jobs in Texas (NOW HIRING)

ADT

Data Scientist

Irving, TX · On-site

This role bridges the gap between advanced data science and strategic marketing operations, working ... Executive Data Storytelling: Translate highly complex statistical findings into clear, beautiful ...

ADT Security Services

Data Scientist

Irving, TX · Remote

This role bridges the gap between advanced data science and strategic marketing operations, working ... Executive Data Storytelling: Translate highly complex statistical findings into clear, beautiful ...

Socket.dev

Architect, Data Science

Arlington, TX · On-site

$155 - $190/hr

As part of our growing Data Science practice, this role offers an exciting opportunity to lead ... executives. Note: This position is not eligible for work sponsorship at this time. Primary ...

CSAA

Interpret simulation results and large datasets, delivering actionable insights to executive and ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

Future Secure AI

AI Engineer, Data Science

Austin, TX · On-site

$113K - $136K/yr

Collaborate closely with engineering, product, and executive stakeholders to deliver innovative, production-ready solutions * Mentor and uplift junior data scientists, setting standards for ...

Socket.dev

AI Engineer, Data Science

Austin, TX · On-site

$100 - $130/hr

Collaborate closely with engineering, product, and executive stakeholders to deliver innovative, production‑ready solutions * Mentor and uplift junior data scientists, setting standards for ...

Vizient

Technical Project Manager (Data Science)

Irving, TX · On-site

$77K - $135K/yr

You will partner closely with Data Science leadership, business stakeholders, architects, engineers ... Facilitate project meetings, executive updates, and decision-making forums. * Communicate project ...

Select Minds LLC

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Roles & Responsibilities . 6+ years of experience in Machine Learning and Data Science. * Strong ... executive audiences. - Ability to adapt quickly to changing priorities and new technologies ...

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Executive Data Science information

See Texas salary details

$24.7K

$87.2K

$171.4K

How much do executive data science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for executive data science in Texas is $87,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $112,300.00 per year, depending on experience, location, and employer.

What is executive data science?

Executive Data Science refers to the leadership and management of data science initiatives within an organization. Professionals in this role are responsible for setting the strategic direction for data-driven projects, overseeing data teams, and ensuring that data science efforts align with business goals. They bridge the gap between technical teams and executives, translating analytical insights into actionable business strategies. Typically, Executive Data Scientists have a blend of technical expertise and strong business acumen, enabling them to make high-level decisions that impact the organization’s growth and innovation.

What skills and qualifications are needed to thrive as an executive data scientist?

To thrive as an Executive Data Scientist, you need deep expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with data platforms (such as SQL, Hadoop, or Spark), programming languages (like Python or R), and familiarity with data visualization tools is essential, along with certifications like Certified Analytics Professional (CAP) being advantageous. Strategic vision, leadership, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These competencies drive effective data-driven decision-making and ensure alignment between analytics initiatives and business objectives.

How does an executive data scientist typically collaborate with other departments to drive data-driven decision making?

Executive Data Scientists frequently work cross-functionally with departments such as marketing, product, finance, and operations to identify key business challenges and opportunities where data can provide strategic insights. They lead or advise interdisciplinary teams, translate complex analytics into actionable recommendations, and often present findings to senior leadership or stakeholders. Building strong relationships and understanding business objectives are crucial, as these collaborations enable the alignment of data science initiatives with organizational goals.

What is the difference between Executive Data Science vs Data Scientist?

AspectExecutive Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic, leadership-focused, often in executive officesHands-on data analysis, modeling, coding in technical teams
Employer & Industry UsageSenior roles in tech, finance, consulting, and large organizationsTech companies, startups, research institutions, various industries

Executive Data Science roles focus on strategic decision-making, leadership, and overseeing data initiatives, while Data Scientists are primarily involved in technical data analysis and modeling. Both roles require strong analytical skills, but Executive Data Scientists combine technical expertise with leadership responsibilities.

What are the most commonly searched types of Data Science jobs in Texas?

The most popular types of Data Science jobs in Texas are:

What are popular job titles related to Executive Data Science jobs in Texas?

For Executive Data Science jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Executive Data Science jobs in Texas look for?

The top searched job categories for Executive Data Science jobs in Texas are:

What cities in Texas are hiring for Executive Data Science jobs?

Cities in Texas with the most Executive Data Science job openings:

Executive Data Science jobs near you
Infographic showing various Executive Data Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $87,158 per year, or $41.9 per hour.

Data Scientist

ADT

Irving, TX • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

ADT rating

7.0

Company rating: 7.0 out of 10

Based on 139 frontline employees who took The Breakroom Quiz

44th of 118 rated security

Job description


Summary:
The Data Scientist, Marketing Analytics serves as a core analytical authority on ADT's marketing efforts, translating complex customer, campaign, and media data into high-value, predictive, and actionable insights. This role bridges the gap between advanced data science and strategic marketing operations, working with stakeholders to solve critical business problems like predicting high-value customer acquisitions, optimizing media spend, and supporting our company's growth, customer lifetime value (LTV), and digital personalization objectives.
The ideal candidate combines strong technical capabilities in machine learning, statistical modeling, and data engineering with an understanding of consumer behavior, marketing technology (MarTech), and executive storytelling. They will work alongside the Marketing Analytics Leader, data analysts, data engineers, and channel managers to build scalable, evidence-based solutions that directly influence ADT's customer acquisition and retention strategies.
Duties and Responsibilities:
  • Predictive Growth Modeling: Apply advanced statistical methods, machine learning (e.g., classification, survival analysis), and clustering to predict customer lifetime value (LTV), model acquisition propensity, and identify customer churn risk.
  • Attribution & Mix Modeling: Support the development of Marketing Mix Modeling (MMM) and multi-touch attribution (MTA) frameworks to help business leaders understand and act on marketing efficiency issues.
  • Campaign Experimentation: Design and execute evidence-based research and scientific hypothesis testing (A/B and multivariate testing) around digital marketing campaigns, creative assets, and landing page personalization.
  • Executive Data Storytelling: Translate highly complex statistical findings into clear, beautiful, and intuitive visualizations and compelling narratives that drive strategy, action, and decision-making at executive levels.
  • Data Engineering & Pipelines: Collaborate with data platform and engineering teams to design, implement, and maintain robust data pipelines that integrate ad-platform APIs, web analytics, and offline sales data into a continuous, single-source-of-truth.
  • Privacy & Compliance: Implement and champion rigorous data privacy standards and ethical data collection practices, navigating how to effectively target and optimize campaigns while respecting consumer privacy regulations (e.g., CCPA/CPRA, cookie changes).
  • Cross-Functional Collaboration: Partner directly with Brand, Digital Media, Demand Gen, and Product Marketing teams to frame vague marketing challenges into structured, measurable data science initiatives.
  • Continuous Improvement: Stay current on evolving marketing technology trends, MLOps best practices, and innovative data sources to elevate ADT's analytical maturity from descriptive reporting to prescriptive action.
  • Customer Segmentation: Experience creating and defining customer personas and segmentation to deliver personalized experiences throughout the customer lifecycle.

Minimum Qualifications:
  • Education: Bachelor's degree (or equivalent experience) in Analytics, Computer Science, Statistics, Mathematics, Economics, or a related highly quantitative field. (Master's degree preferred).
  • Experience: 3+ years of directly applicable experience in data science, predictive modeling, and building end-to-end data pipelines within a marketing or customer acquisition context.
  • Technical Proficiency:
    • Advanced proficiency in (Python with deep experience in data modeling packages.
    • Advanced SQL skills and experience manipulating high-dimensional consumer datasets.
    • Proficiency using Vertex AI/Colab notebooks.
  • Domain Knowledge: Solid understanding of digital marketing channels (Paid Search, Paid Social, Programmatic), web analytics platforms (e.g., Google Analytics, Adobe Analytics), and MarTech/AdTech ecosystems.
  • Ambiguity Management: Proven ability to navigate dynamic, fast-paced, and entrepreneurial environments with ambiguous or evolving project requirements.
  • Familiarity with Customer Data Platforms (CDP) in supporting no code/low code Marketer driven target audiences.

Communication Skills:
  • Writing, Talking/Hearing on the phone (Continually=67-100% of workday)

Environment Requirements:
  • Remote/Home office (Continually=67-100% of the workday)

Travel:
  • Occasionally, less than 25%

What ADT employees say

Pay

Benefits

Hours and flexibility

Workplace

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About ADT

Sourced by ZipRecruiter

At ADT Commercial, we are in the business of helping people and organizations to protect what matters most to them. Building upon ADT's 145-year legacy, we secure the livelihoods and futures of critical commercial environments, retail location, educational campuses, healthcare facilities and financial institutions across the U.S. as an industry-leading security, fire and life safety systems integrator. We strive to have the most experienced and technically trained and talented teams in the industry, driven by excellence at every turn. At ADT Commercial, we truly believe that our people are the difference - for our organization, the customers we serve and the communities we protect. When you're a part of ADT Commercial, you'll have the opportunity to be a part of that difference every day. With more than 300 locations, a deep national presence, and comprehensive portfolio of solutions and services, our employees are always poised for career advancement and growth. For more information, visit www.adtcommercial.com or follow us on LinkedIn and Facebook.

Industry

Personal services

Company size

10,000+ Employees

Headquarters location

Boca Raton, FL, US

Year founded

1874

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