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Data Science And Analytics Jobs in Houston, TX (NOW HIRING)

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

... analytics, and advanced visualizations that drive measurable business outcomes. The ideal candidate combines strong analytical skills with deep technical expertise in cloud-based data science tools ...

... analytics, and advanced visualizations that drive measurable business outcomes. The ideal candidate combines strong analytical skills with deep technical expertise in cloud-based data science tools ...

New

Bachelor's degree in applied mathematics, Data Science or Physics * 5+ years' experience Data Science * Strong analytical and problem-solving skills * Excellent communication and presentation ...

Collaborate with data engineers, analysts, and technology teams on enterprise initiatives Qualifications * Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering ...

Rapid onboarding on projects, understanding analytics goal and working with ill-defined datasets * Communicating technical jargon in plain English to colleagues within Data Science team and outside ...

Familiarity with statistics, analytics, and Data Science concepts. * Experience defining and maintaining KPI dashboards for AI and data initiatives. Benefits * Health & Wellness : Comprehensive ...

No prior AI experience is required--your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities * Review, edit, and refine AI-generated ...

Data Science & Statistical Analysis * Enterprise Problem Solving * Experimentation & Model Evaluation * Communication & Storytelling * Cross-Functional Collaboration * Ownership & Accountability This ...

Project Manager, AI and Data Science

Houston, TX · Hybrid

$49.50 - $66.75/hr

Familiarity with statistics, analytics, and Data Science concepts. * Experience defining and maintaining KPI dashboards for AI and data initiatives. Benefits * Health & Wellness : Comprehensive ...

Showing results 41-60

Data Science And Analytics information

See Houston, TX salary details

$35.8K

$117.2K

$187.7K

How much do data science and analytics jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data science and analytics in Houston, TX is $117,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $129,900.00 per year, depending on experience, location, and employer.

What is data science and analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.

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

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology, with opportunities for advancement and specialization.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, data visualization tools, and statistical analysis, often with certifications or experience in big data platforms and SQL. Job responsibilities include interpreting complex data, building predictive models, and supporting data-driven decision-making.

What cities near Houston, TX are hiring for Data Science And Analytics jobs?

Cities near Houston, TX with the most Data Science And Analytics job openings:

Infographic showing various Data Science And Analytics job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $117,212 per year, or $56.4 per hour.

Data Science Intern - Remote

Stryker

Houston, TX • On-site

$35/hr

Other

Posted yesterday

New


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

133rd of 496 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who we want

Challengers. People who seek out the hard projects and work to find just the right solutions. Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward. Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts. Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives. Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships. Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

  • Develop, analyze and model operational, economic, management, accounting and other organizational data. Recommends solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets, evaluates the potential impact of changes and reports on economic forecasts that affect the industry. This position requires knowledge that is acquired through experience, specialized education or training. The role has clearly defined procedures and tasks as well as defined guidelines to aid in decision making. Technical knowledge required is limited to the tasks performed in own discipline area and is considered basic. The tasks are generally routine and manual. The job is expected to follow detailed and defined rules / instructions and to make simple judgement in straightforward situations. Typically requires selecting between solutions already established. This job typically requires no experience.
  • The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division. The intern will achieve this through hands-on data exploration, advanced analytics, and collaboration with cross-functional teams to identify trends, forecast business outcomes, and support initiatives across Inventory, PLCM, and Customer Service. By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute to the development of scalable solutions that enhance business impact and support data-driven strategies.

Majors Targeted: Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics, Finance

What You Need

  • Currently pursuing a Bachelor’s or Master’s degree in a related field; must remain enrolled in a degree-seeking program after the internship.
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require sponsorship now or in the future.
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment.

Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days.

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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