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Applied Data Analytics Jobs in Houston, TX (NOW HIRING)

Techvilla Solutions

Data Scientist

Highlands, TX

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 ...

TGS ASA

Lead Data Scientist

Houston, TX · On-site

$140 - $190/hr

Through an extensive and diverse energy data library, advanced analytics, cloud‑based ... Strong understanding of ML applied to physical or scientific systems. * Large‑Scale ...

New

Weatherford

Data Scientist - Wireline

Houston, TX

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

Socket.dev

Data Scientist - Wireline

Houston, TX · On-site

$120 - $160/hr

Master's degree in applied mathematics, Data Science or Physics * 5+ years' experience in the Oil and Gas industry * Strong analytical and problem-solving skills * Excellent communication and ...

YO AI Labs

AI Data Scientist Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

IPT Global

Data Scientist

Houston, TX

... 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 ...

New

IPT Global

Data Scientist

Houston, TX · On-site

... 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 ...

IPT Global

Data Scientist

Houston, TX · On-site

... 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 ...

New

Ra

Marketing Analytics Manager

Houston, TX · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

YO AI Labs

AI Data Science Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

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All JobsApplied Data Analytics JobsApplied Data Analytics Jobs in Houston, TX

Applied Data Analytics information

See Houston, TX salary details

$25.2K

$125.5K

$222.4K

How much do applied data analytics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for applied data analytics in Houston, TX is $125,482.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,929.00 and $168,642.00 per year, depending on experience, location, and employer.

What is applied data analytics?

An Applied Data Analytics job involves using data analysis, statistical methods, and machine learning techniques to extract insights and support decision-making in various industries. Professionals in this role work with large datasets, clean and preprocess data, and create visualizations to communicate findings effectively. They often use programming languages like Python or R, along with database tools such as SQL, to analyze trends and optimize business processes. Applied Data Analytics roles are found in sectors like healthcare, finance, marketing, and technology, helping organizations make data-driven decisions.

What does someone working in applied data analytics do?

Professionals in Applied Data Analytics typically spend their days collecting, cleaning, and analyzing large datasets to identify trends and patterns relevant to their organization’s goals. They use various statistical and machine learning techniques to build predictive models, generate visual reports, and present data-driven recommendations to stakeholders. Collaborating with cross-functional teams such as marketing, operations, and IT is common, ensuring data solutions are closely aligned with business needs. This dynamic role also involves continuous learning to keep up with evolving analytical tools and methodologies.

What are the key skills and qualifications needed to thrive in applied data analytics?

To thrive in Applied Data Analytics, you need strong analytical skills, proficiency in statistical methods, and typically a degree in data science, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, experience with data visualization tools like Tableau or Power BI, and knowledge of SQL are commonly required, along with relevant certifications such as Certified Analytics Professional (CAP). Strong problem-solving abilities, effective communication, and a knack for translating complex data into actionable insights set standout professionals apart. These skills are crucial for transforming raw data into meaningful solutions that support informed business decisions and drive organizational success.

Is data analytics a good career?

Applied Data Analytics is a growing field with strong demand for professionals skilled in data analysis, statistical methods, and tools like SQL, Python, or R. It offers opportunities across various industries, competitive salaries, and potential for career advancement, making it a viable and rewarding career choice.

What are popular job titles related to Applied Data Analytics jobs in Houston, TX?

For Applied Data Analytics jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Applied Data Analytics jobs in Houston, TX look for?

The top searched job categories for Applied Data Analytics jobs in Houston, TX are:

Applied Data Analytics jobs near you
Infographic showing various Applied Data 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 $125,482 per year, or $60.3 per hour.

Data Scientist

Techvilla Solutions

Highlands, TX

Full-time

Posted 7 days ago

Job description

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 delivering analytics solutions.
  • Expertise in statistical modeling, machine learning, and predictive analytics.
  • Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow.
  • Experience in time-series forecasting, causal inference, feature engineering, and advanced data sampling/resampling techniques.
  • Strong expertise in geospatial analytics and LiDAR data processing.
  • Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries.
  • Experience working with vector, raster, point-cloud, and sensor datasets.
  • Excellent analytical, communication, and stakeholder management skills.
Roles & Responsibilities
  • Design and develop advanced machine learning and statistical models to solve complex business problems.
  • Build predictive models, time-series forecasting solutions, and causal inference frameworks.
  • Perform feature engineering, data preparation, and advanced sampling techniques for large-scale datasets.
  • Develop geospatial analytics and LiDAR processing solutions using industry-standard tools and libraries.
  • Analyze vector, raster, point-cloud, and sensor data to generate actionable insights.
  • Partner with business stakeholders to scope, design, and deliver data science solutions.
  • Present analytical findings and recommendations to technical and business audiences.
  • Optimize model performance, scalability, and deployment in production environments.
  • Mentor data scientists and promote best practices in analytics and machine learning.
  • Support innovation initiatives through advanced analytics and AI-driven solutions.

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