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Full Time Data Scientist Machine Learning Jobs in Houston, TX

IPT Global

Data Scientist

Houston, TX · On-site

Design and execute research of open-ended problems related to data analytics, Machine Learning, and ... Houston, Texas * Employment Type: Full-time, flexible schedule * Compensation: Competitive ...

IPT Global

Data Scientist

Houston, TX · On-site

Design and execute research of open-ended problems related to data analytics, Machine Learning, and ... Houston, Texas * Employment Type: Full-time, flexible schedule * Compensation: Competitive ...

Georgia IT, Inc.

Data Scientist-Houston, TX

Houston, TX · On-site

Georgia IT, Inc. is seeking a Data Scientist to work in Houston, TX. The role involves building production-ready systems for data science, utilizing NLP and Machine Learning techniques, and creating ...

Munich Re

Data Scientist

Houston, TX · On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Innotech

Data Scientist

Houston, TX

$12K - $78K/yr

... and machine-learning engineers Required skills and qualifications * Seven or more years of ... data science * Proficiency with data mining, mathematics, and statistical analysis * Advanced ...

bwp

Lead / Sr Analyst Data Scientist

Houston, TX · On-site

The Data Scientist plays a key role in advancing digital innovation by developing data-driven ... Design, build, and deploy predictive models and machine learning (ML) algorithms to support asset ...

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Showing results 21-40

All JobsData Scientist Machine Learning JobsFull Time Data Scientist Machine Learning JobsFull Time Data Scientist Machine Learning Jobs in Houston, TX

Full Time Data Scientist Machine Learning information

See Houston, TX salary details

$35.8K

$117.2K

$187.7K

How much do full time data scientist machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for full time data scientist machine learning 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 does a full time data scientist specializing in machine learning do?

A Full Time Data Scientist specializing in Machine Learning is responsible for analyzing large datasets to discover patterns and insights, and for building, testing, and deploying machine learning models to solve business problems. They use statistical techniques, programming skills, and domain knowledge to turn raw data into actionable information. Their day-to-day tasks often include data cleaning, feature engineering, model selection, and performance evaluation. They also collaborate with other teams to integrate machine learning solutions into products or decision-making processes. This role typically requires proficiency in languages like Python or R, and familiarity with tools such as TensorFlow, scikit-learn, or PyTorch.

What are the key skills and qualifications needed to thrive as a full time data scientist specializing in machine learning?

To thrive as a Full Time Data Scientist Machine Learning, you need strong analytical skills, expertise in statistics, machine learning techniques, and a relevant degree in computer science, mathematics, or a related field. Proficiency with programming languages such as Python or R, experience with machine learning libraries like TensorFlow or scikit-learn, and familiarity with data visualization and big data platforms are typically required. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating with stakeholders and translating data insights into business value. These skills are crucial for developing robust models, interpreting complex data, and driving impactful, data-driven decisions within organizations.

What are some common challenges faced by full time data scientists specializing in machine learning, and how can they be addressed?

Full-time Data Scientists in Machine Learning often encounter challenges such as dealing with messy or incomplete data, tuning complex models for optimal performance, and effectively communicating technical insights to non-technical stakeholders. Addressing these challenges usually involves collaborating closely with data engineers to improve data quality, staying updated with the latest ML techniques, and developing strong communication skills to translate findings into actionable business strategies. Additionally, regular code reviews and participation in cross-functional meetings help ensure alignment and foster a supportive team environment.

What is the difference between Full Time Data Scientist Machine Learning vs Data Analyst?

AspectFull Time Data Scientist Machine LearningData Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related; proficiency in data visualization and SQL
Work EnvironmentDeveloping ML models, programming in Python/R, deploying algorithmsData cleaning, reporting, creating dashboards, analyzing datasets
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Full Time Data Scientist Machine Learning roles focus on building and deploying machine learning models, requiring advanced programming and statistical skills. Data Analysts primarily interpret data, generate reports, and support decision-making with less emphasis on ML techniques. Both roles are vital but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Houston, TX?

The most popular types of Data Scientist Machine Learning jobs in Houston, TX are:

Full Time Data Scientist Machine Learning jobs near you

Data Scientist / Wireline

Weatherford International

Houston, TX • On-site

Full-time

Re-posted 8 days ago

Weatherford rating

7.3

Company rating: 7.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

50th of 87 rated oil and gas companies

Job description


Job Summary
We are seeking a highly motivated Data Scientist to join our Sciences team. In this role, you will apply advanced data analytics, machine learning, and scientific modeling to solve complex problems related to downhole tools, signal processing, and formation evaluation.
The ideal candidate combines strong fundamentals in applied mathematics and data science with the ability to work in a cross-functional engineering environment.
Roles and Responsibilities
  • Design and develop data pipelines for cleaning, validation, and analysis of large datasets
  • Analyze structured and unstructured data to identify trends, patterns, and anomalies
  • Develop and deploy machine learning models and statistical algorithms
  • Automate data workflows and analysis using modern programming tools
  • Modeling & Technical Contributions
  • Build predictive and physics-informed models to support tool development and characterization
  • Work with simulation outputs and experimental data to improve system understanding
  • Develop custom tools and frameworks for advanced analytics
  • Collaboration & Delivery
  • Partner with engineers, physicists, and product teams to translate business needs into analytical solutions
  • Communicate insights and results effectively to technical and non-technical stakeholders
  • Support project planning, technical documentation, and knowledge sharing

Skills / Education
  • 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 abilities
  • Proficiency in managing and interpreting large datasets
  • Experience with machine learning techniques
  • Experience with statistical and data mining techniques
  • Experience using C, C++, Java, JavaScript, Python, R, SQL
  • Expertise in areas such as formation evaluation, production logging and well integrity.
  • 5+ years' experience in the Oil and Gas industry
  • Knowledge of tool physics and tool characterization
  • Ph.D. in applied mathematics, Data Science or Physics
  • Excellent problem-solving, analytical, and decision-making skills, with the ability to think critically and develop innovative solutions.
  • Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders
  • Knowledge of industry standards, regulations, and best practices related to health, safety, and environmental compliance.
  • Self-starter, Curious, ability to research independently and integrate knowledge from various sources into working solutions.
  • Active participation in technical societies, forums and open-source communities is a plus.
  • Published technical papers, presented in industry conferences.

About us:
Weatherford is a leading global energy services company. Our world-class experts partner with customers to optimize their resources and realize the full potential of their assets. Across our operating locations, including manufacturing, research and development, service, and training facilities, operators choose us for strategic solutions that add efficiency, flexibility, and responsibility to any energy operation.
When you join Weatherford, you instantly feel connected to something bigger - a community that is grounded by our core values and driven to create innovative solutions for our customers. We celebrate each other's successes, grow together, and learn from each other constantly. Individually, we are impressive. Together, we are unstoppable. We are One Weatherford.
Weatherford is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
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