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Data Jobs in Spring, TX (NOW HIRING)

Leverage strong data science skills throughout the data analysis process (problem formulation, data aggregation, transformation and cleaning, descriptive analysis, modeling, visualization ...

Data Scientist Location: Houston, TX (Fulltime) Environment: Standard, 5-days onsite : Must-Have (Technical Expertise & Core Responsibilities) * Data Science & Machine Learning: * Strong foundation ...

Leverage strong data science skills throughout the data analysis process (problem formulation, data aggregation, transformation and cleaning, descriptive analysis, modeling, visualization ...

Main Purpose of Job The Data Analysts role will be to partner with stakeholders across the Arsenault organization to build reporting solutions to guide decisions and provide insights Key ...

As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Data Scientist

Houston, TX ยท On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Support regional planning efforts through advanced land use modeling, data analysis, and forecasting. * Apply strong analytical and programming skills to evaluate demographic, economic, and ...

Data Scientist Location: Houston, TX (Hybrid) Duration: Fulltime Required Skills: * Data Science * Machine Learning * Python * Gen AI * Problem-solving aptitude * Excellent communication and ...

Arthur Lawrence is looking for a Data Analyst one our clients in Houston, TX. Please find the below and send us your updated resume if interested: Must-Have Skills: * Ability to work 40 hours per ...

Partner with Engineering, Data Science, and other teams to identify and use the data needed to optimize the channel About you and your skills: * 1+ year of experience in a quantitative field such as ...

Showing results 41-60

Data information

See Spring, TX salary details

$42.4K

$151.9K

$224.2K

How much do data jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data in Spring, TX is $151,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $156,500.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.

What are the most commonly searched types of Data jobs in Spring, TX?

The most popular types of Data jobs in Spring, TX are:

What are popular job titles related to Data jobs in Spring, TX?

For Data jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Data jobs in Spring, TX look for?

The top searched job categories for Data jobs in Spring, TX are:

What cities near Spring, TX are hiring for Data jobs?

Cities near Spring, TX with the most Data job openings:

Infographic showing various Data job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $151,946 per year, or $73.1 per hour.

Data Scientist

IPT Global

Houston, TX โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

Company Description

At IPT Global, we’re pioneers in providing innovative digital solutions for well integrity assurance and energy technology. Our mission is to empower operators with the data, tools, and insights they need to ensure safer, more reliable operations.

We combine deep domain expertise with cutting-edge software development to deliver high-quality applications and platforms that enhance performance, safety, and efficiency across the energy lifecycle. Our teams collaborate across disciplines, embracing creativity, accountability, and continuous learning to drive technological progress and deliver lasting value to our customers.

If you want to work in an environment that values growth, innovation, and teamwork — we’d love to meet you.

Job Description
  • Leverage strong data science skills throughout the data analysis process (problem formulation, data aggregation, transformation and cleaning, descriptive analysis, modeling, visualization, presentation, productizing)
  • Design and execute research of open-ended problems related to data analytics, Machine Learning, and predictive modeling on large, complex data sets to draw insights and conclusions for key stakeholders
  • Evaluate, improve, and invent analysis methods to be used in IPT Global’s suite of well integrity solutions
  • Develop and validate proposed analysis methods through the application of physics-based and data-based models to industry component data sets, apply variances to account for test environment effects and signal noise to gauge algorithm performance and robustness
  • Collaborate with multiple teams and present findings, prototypes, and recommendations periodically to multiple levels of stakeholders, including to senior management
  • Leverage existing data sets to improve/invent analysis methods and solutions by performing data analysis on large sets of data identifying trends, patterns, anomalies, clusters, and insights in a continual advancement of our state-of-the-art
  • Perform statistical analysis of field and simulated data to provide reliability insights, confidence levels, and risk assessments
  • Support Business Development through projects evaluating client/prospect data and potential improvements in reliability and efficiency using IPT products
  • Analyze operational data, create KPIs, and develop dashboards or visualizations that drive action and provide business value for internal and external clients
  • Participate in technical document generation and research publication writing, and present research at national/international conferences and forums in fields related to the role
  • Document innovations in the consideration and protection of Intellectual Property (e.g., patent applications, trade secrets)
  • All other assigned duties
Qualifications

REQUIREMENTS

  • Bachelor's or Master’s degree in a quantitative discipline (e.g., Mathematics, Statistics, Engineering, Computer Science, Physics, Applied Science) or related discipline with demonstrated research capability
  • 3 years of direct work experience in a data related field
  • Proficiency in statistical/numerical analysis concepts: regression, linear and multivariate analysis, curve-fitting, sampling methods, descriptive statistics, probability distributions, stochastic models, confidence/risk analysis, optimization
  • Experience with statistical/numerical software (e.g., R, Python, MATLAB), database query languages (e.g., SQL), and data science toolkits (e.g., TensorFlow, Keras)

PREFERRED SKILLS

  • 5+ years of relevant work experience, including expertise with statistical data analysis
  • Proficiency in implementing machine learning and deep learning techniques and algorithms (e.g., KNN, Naïve Bayes, SVM, Decision Forest, RandomForest, Gradient Boosting, CNN) and applying model validation concepts
  • Experience in predictive and prescriptive modeling, including model training and validation
  • Familiarity with Azure, or other cloud computing services (AWS, Google Cloud, etc.)
  • Familiarity with C#, virtual machines / containers
  • History of generating technical documents and publications
  • Experience in the oil and gas industry, especially operations, and understanding of industry common terminology

Additional Information
  • Location: Houston, Texas 

  • Employment Type: Full-time, flexible schedule 
  • Compensation: Competitive compensation commensurate with experience, plus comprehensive benefits (medical, dental, vision, 401(k), paid time off).

  • Work Environment: Collaborative and innovative team culture focused on continuous improvement and professional growth.

Join IPT Global and help us shape the next generation of software that supports the energy industry’s drive toward safety, efficiency, and innovation.