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Data Science Analytics Jobs in Texas (NOW HIRING)

Senior Manager, Data Science & Analytics ZX Data Science & Analytics | US, Remote Zeta Global is looking for a seasoned, external client-engaging Senior Manager, Data Science & Analytics (individual ...

The data science analyst will also analyze and manipulate large-scale data sets from a multitude of sources, work to operationalize and integrate machine learning solutions into Copart's current ...

Required : • 2-5 years of professional experience in data science or advanced marketing analytics. • Strong command of R and/or Python for data manipulation and statistical analysis. • Deep ...

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. * 2+ years of experience in a data science, analytics, or related role. * Proficiency in ...

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. * 2+ years of experience in a data science, analytics, or related role. * Proficiency in ...

... and Data Analysts to design, build, and deploy data science solutions within SWBC's modern, cloud-native data ecosystem and enterprise AI/ML platform. The Data Scientist II is expected to ...

... and Data Analysts to design, build, and deploy data science solutions within SWBC's modern, cloud-native data ecosystem and enterprise AI/ML platform. The Data Scientist II is expected to ...

... and Data Analysts to design, build, and deploy data science solutions within SWBC's modern, cloud-native data ecosystem and enterprise AI/ML platform. The Data Scientist II is expected to ...

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field * 7+ years in data science, analytics, or AI roles * Experience with AEC, engineering, or consulting ...

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Data Science Analytics information

See Texas salary details

$22

$51

$88

How much do data science analytics jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data science analytics in Texas is $51.00, according to ZipRecruiter salary data. Most workers in this role earn between $40.96 and $57.79 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Analytics professional, and why are they important?

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

What is the difference between Data Science Analytics vs Data Analyst?

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.
What are the most commonly searched types of Data Science Analytics jobs in Texas? The most popular types of Data Science Analytics jobs in Texas are:
What are popular job titles related to Data Science Analytics jobs in Texas? For Data Science Analytics jobs in Texas, the most frequently searched job titles are:
Infographic showing various Data Science Analytics job openings in Texas as of May 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $106,090 per year, or $51 per hour.
Senior Manager, Data Science & Analytics

Senior Manager, Data Science & Analytics

Zeta Global

Remote

Other

Medical, Dental, Vision, PTO

Posted 6 days ago


Job description

Senior Manager, Data Science & Analytics

ZX Data Science & Analytics | US, Remote

Zeta Global is looking for a seasoned, external client-engaging Senior Manager, Data Science & Analytics (individual contributor role) for its ZX Activation division.  They will be responsible for prescribing a performance-oriented marketing and analytics strategy to achieve optimal performance in the client's customer acquisition efforts.

This position will partner with cross-functional teams including but not limited to Sales, Client Success, Operations, Engineering, and Data Cloud. You will support strategic growth initiatives by delivering actionable insights to helping clients acquire new customers.  You will benefit from a globally distributed Analytics team that provides essential support across data QA, reporting, and tool creation, allowing you to prioritize high-impact strategy work.

Responsibilities:

Strategic Leadership

  • Define and drive a clear analytics vision aligned to client engagement, media performance, and marketing measurement priorities.
  • Champion a data-driven culture by embedding analytics into strategic planning, campaign optimization, and decision-making processes.
  • Lead the development and execution of measurement frameworks tailored to each client's objectives, ensuring alignment with business goals.

Data & Analytics

  • Translate data into actionable insights by identifying performance drivers, resolving anomalies, and crafting compelling narratives that demonstrate media impact.
  • Establish and maintain robust testing frameworks that are statistically valid and operationally scalable.
  • Drive confidence and alignment by delivering actionable insights rooted in analytics, business strategy, and persuasive communication.
  • Provide business feedback as a key stakeholder in the development of standardized dashboards and advanced analytics to measure the effectiveness of campaigns.
  • Leverage predictive and prescriptive analytics to identify trends, opportunities, and risks related to client behavior and retention.

Marketing Measurement

  • Utilize advanced analytics to quantify marketing impact and ROI, and partner cross-functionally to diagnose and address performance irregularities.
  • Implement robust A/B and multivariate testing and experimentation protocols to optimize campaigns and maximize impact.

Qualifications:

  • Master's degree in Analytics, Management Science, MIS or similar quantitative disciplines.
  • 8+ years of experience in Analytics, marketing measurement, campaign optimizations, with a strong focus on email marketing.
  • Expertise in advanced analytics tools and Business Intelligence tools.
  • Proven experience designing and scaling experiments in a digital environment.
  • Exceptional analytical and problem-solving skills with the ability to translate complex data into actionable insights.
  • Excellent communication and presentation skills, with the ability to influence senior stakeholders and clients.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform - powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

THE ROLE

Zeta Global is looking for a seasoned, external client-engaging Senior Manager, Data Science & Analytics (individual contributor role) for its ZX Activation division.  They will be responsible for prescribing a performance-oriented marketing and analytics strategy to achieve optimal performance in the client's customer acquisition efforts.  

This position will partner with cross-functional teams including but not limited to Sales, Client Success, Operations, Engineering, and Data Cloud. You will support strategic growth initiatives by delivering actionable insights to helping clients acquire new customers.  You will benefit from a globally distributed Analytics team that provides essential support across data QA, reporting, and tool creation, allowing you to prioritize high-impact strategy work. 

RESPONSIBILITIES

  • Strategic Leadership 
    • Define and drive a clear analytics vision aligned to client engagement, media performance, and marketing measurement priorities. 
    • Champion a data-driven culture by embedding analytics into strategic planning, campaign optimization, and decision-making processes. 
    • Lead the development and execution of measurement frameworks tailored to each client's objectives, ensuring alignment with business goals. 
  • Data & Analytics 
    • Translate data into actionable insights by identifying performance drivers, resolving anomalies, and crafting compelling narratives that demonstrate media impact. 
    • Establish and maintain robust testing frameworks that are statistically valid and operationally scalable. 
    • Drive confidence and alignment by delivering actionable insights rooted in analytics, business strategy, and persuasive communication. 
    • Provide business feedback as a key stakeholder in the development of standardized dashboards and advanced analytics to measure the effectiveness of campaigns. 
    • Leverage predictive and prescriptive analytics to identify trends, opportunities, and risks related to client behavior and retention. 
  • Marketing Measurement 
    • Utilize advanced analytics to quantify marketing impact and ROI, and partner cross-functionally to diagnose and address performance irregularities. 
    • Implement robust A/B and multivariate testing and experimentation protocols to optimize campaigns and maximize impact. 

REQUIREMENTS

  • Master's degree in Analytics, Management Science, MIS or similar quantitative disciplines. 
  • 8+ years of experience in Analytics, marketing measurement, campaign optimizations, with a strong focus on email marketing. 
  • Expertise in advanced analytics tools and Business Intelligence tools. 
  • Proven experience designing and scaling experiments in a digital environment. 
  • Exceptional analytical and problem-solving skills with the ability to translate complex data into actionable insights. 
  • Excellent communication and presentation skills, with the ability to influence senior stakeholders and clients. 

BENEFITS & PERKS

  • Unlimited PTO
  • Excellent medical, dental, and vision coverage
  • Employee Equity
  • Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $125,000 - $145,000 depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We're committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

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