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Data Science Major Jobs in Texas (NOW HIRING)

EssilorLuxottica Group

Data Scientist

Dallas, TX · On-site

MAJOR DUTIES AND RESPONSIBILITIES Managing * Engage with stakeholders to understand objectives ... Translate ambiguous business problems into structured data science statements * Organize ...

Essilor

Data Scientist

Dallas, TX

MAJOR DUTIES AND RESPONSIBILITIES Managing * Engage with stakeholders to understand objectives ... Translate ambiguous business problems into structured data science statements * Organize ...

EssilorLuxottica

Data Scientist

Dallas, TX · On-site

MAJOR DUTIES AND RESPONSIBILITIES Managing * Engage with stakeholders to understand objectives ... Translate ambiguous business problems into structured data science statements * Organize ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site

$150K - $210K/yr

... major components of ML pipelines: data ingestion, cleaning, pre-processing (structured ... Must-Have Qualifications: - 10+ years of experience in data science / ML, with substantial work in ...

Socket.dev

Senior Lead Data Scientist

Austin, TX · On-site

$204 - $227/hr

In this role, you will have mastery over major organizational problems and solution spaces ... Deep expertise in multiple complex data science areas, such as XGBoost, deep learning, and NLP.

New

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

... major components of ML pipelines: data ingestion, cleaning, pre-processing (structured ... Must-Have Qualifications: - 10+ years of experience in data science / ML, with substantial work in ...

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Showing results 21-40

All JobsData Science Major JobsData Science Major Jobs in Texas

Data Science Major information

What is a data science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do data science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

What are the key skills and qualifications needed to thrive as a data science major, and why are they important?

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

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

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What jobs can I do with a data science major?

A data science major can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, or data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau, often with a focus on interpreting large datasets to support decision-making.

What kind of jobs can I get with a data science major?

A data science major can lead to roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

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

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

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

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

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

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

Data Science Major jobs near you
Infographic showing various Data Science Major 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.

Sr Manager Data Science and AI Platform Enablement

Academy Sports + Outdoors

Katy, TX • On-site

Full-time

Posted 24 days ago

Academy Sports + Outdoors rating

5.9

Company rating: 5.9 out of 10

Based on 443 frontline employees who took The Breakroom Quiz

402nd of 734 rated retailers

Job description

Who We Are
At Academy Sports + Outdoors our vision is to be the best sports + outdoors retailer in the country - but what truly sets us apart is our people. We're a passionate, purpose-driven team that's as committed to each other as we are to our customers.
We've spent over 80 years building a culture that puts people first. We believe in creating opportunities for growth, fostering meaningful connections, and supporting every Team Member's journey. What fuels us? Our belief in the power of fun.
Here, you won't just help customers gear up for their next adventure - you'll launch one of your own. Whether you're starting out or leveling up, Academy is a place where fun can't lose!
Education:
  • Bachelor's in engineering, Statistics, Data Science, or Computer Sciences
  • Master's degree in Analytics or data science (preferred)

Work Experiences:
  • 8+ years of experience in data science, advanced analytics, applied machine learning, or related fields. Experience in retail or B2C is preferred
  • 4+ years of experience leading teams or major technical initiatives, including people management or matrixed leadership
  • 3+ years of experience in B2C, retail, e-commerce, marketing analytics, or customer-facing analytics domains
  • 3+ years of experience building, deploying, or enabling production-grade analytics or ML solutions

Skills:
  • Strong engineering mindset with experience in: Modular code, Reproducibility & Production-grade analytics or ML systems
  • Experience working with digital analytics, customer data platforms, or experimentation data (e.g., Adobe, web/app analytics, or similar ecosystems)
  • Proven ability to influence across matrixed organizations without direct ownership
  • Experience partnering with data engineering, platform, and governance teams
  • Ability to balance speed to value with long-term scalability
  • Experience enabling MLOps or analytics platforms, preferred
  • Exposure to customer analytics, personalization, marketing, or e-commerce use cases, preferred
  • Experience operating in early-to-mid maturity data organizations, preferred
  • Comfort shaping standards without formal authority, preferred

Responsibilities:
Platform & AI Standards Enablement
  • Define and evolve reusable data, feature, and modeling patterns, MLOps and model lifecycle standards, and production-ready analytics/ML solutions.
  • Partner with CIO Data Engineering and Platform teams to influence canonical customer data models, shared datasets, feature reuse, and data access/consumption standards.

Customer Domain Translation & Enablement
  • Translate customer, marketing, and omnichannel needs into scalable technical and platform-aligned patterns.
  • Enable domain-aligned data scientists, analysts, and engineers to adopt standards, reduce reinvention, and accelerate delivery.
  • Influence enterprise priorities through evidence, design proposals, and proof-of-value work.

Governance, Quality & Responsible AI
  • Represent customer-domain data needs in governance forums.
  • Help evolve governance standards that are practical for personalization, experimentation, and customer analytics.
  • Ensure quality, fairness, trust, and compliance are embedded by design.

Customer Data Domain Enablement
  • Lead Adobe Analytics and Quantum Metrics data capture, acting as a catalyst for effective use across analytics, personalization, and experimentation.
  • Serve as the data domain owner for all customer-facing data domains, including tag management, Bridg, and clean room capabilities, accountable for data definitions, quality, access, and downstream usability.
  • Partner with IT pods, platform, and engineering teams to define and govern customer data flows securely and at scale through well-documented integrations.

Leadership Attributes
  • Systems thinker with a pragmatic bias toward delivery.
  • Trusted by both business and technical stakeholders.
  • Comfortable letting teams execute independently while influencing across a matrixed organization.
  • Optimizes for scale and reuse, not personal ownership.

Physical Requirements & Attendance:
  • Acceptable level of hearing and vision to perform job duties
  • Adhere to company work hours, policies, procedures, and rules governing professional staff behavior
  • Regular attendance in the office is required
Equal Employment Opportunity
Academy is an Equal Opportunity Employer and does not discriminate with regard to employment opportunities or practices on the basis of race, religion, national origin, sex, age, disability, gender identity, sexual orientation, or any other category protected by law.

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