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Part Time Python Javascript Developer Jobs in Houston, TX

ExxonMobil

Crude and Products V&S

Spring, TX

A degree in Economics, Engineering, Data Science, or a related quantitative discipline. * Proven ... Technical proficiency in SQL, Python, Excel, and Power BI for data analysis and visualization.

ExxonMobil

Crude and Products V&S

Spring, TX · On-site

A degree in Economics, Engineering, Data Science, or a related quantitative discipline. * Proven ... Technical proficiency in SQL, Python, Excel, and Power BI for data analysis and visualization.

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How much do part time python javascript developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for part time python javascript developer in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

What is the difference between Part Time Python Javascript Developer vs Part Time Web Developer?

AspectPart Time Python Javascript DeveloperPart Time Web Developer
Required SkillsPython, JavaScript, HTML, CSSHTML, CSS, JavaScript, possibly Python or PHP
Work EnvironmentProject-based, remote or on-site, tech companies, startupsWeb design agencies, tech firms, freelance projects
Industry UsageSoftware development, data analysis, automationWebsite creation, UI/UX design, front-end/back-end development

Part Time Python Javascript Developers focus on coding with Python and JavaScript for various applications, often involving backend or data tasks. Part Time Web Developers primarily work on website and UI development using HTML, CSS, and JavaScript. While both roles require JavaScript skills, Python expertise distinguishes the Python Javascript Developer. The choice depends on whether the project emphasizes backend/data work or web interface design.

What are the most commonly searched types of Python Javascript Developer jobs in Houston, TX? The most popular types of Python Javascript Developer jobs in Houston, TX are:
Part Time Python Javascript Developer jobs near you
Data Scientist, Upstream Operations

Data Scientist, Upstream Operations

ExxonMobil

Spring, TX • On-site

Part-time

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.

ExxonMobil rating

6.1

Company rating: 6.1 out of 10

Based on 220 frontline employees who took The Breakroom Quiz

57th of 74 rated oil and gas companies

Job description

What role you will play in our team
  • Work on complex data science and AI/ML use cases focused on upstream oil & gas operations - from ideation and discovery through deployment and sustainment - as part of integrated, enterprise-level teams.
  • Collaborate with ExxonMobil operations engineers, field personnel, and subject matter experts to drive data-driven decision-making across upstream production and operational workflows.
  • Support the transition and integration of upstream digital analytics capabilities into the Modeling, Optimization, and Data Science (MODS) organization, ensuring continuity and enhancement of existing solutions.

What you will do
  • Lead the design, development, and deployment of advanced AI/ML solutions for upstream oil & gas operations, including production optimization, predictive maintenance, anomaly detection, and operational efficiency improvements.
  • Analyze production data, well performance metrics, sensor/IoT data, and operational logs to identify patterns, forecast outcomes, and uncover opportunities for value creation.
  • Collaborate with cross-functional teams - including production engineers, reservoir engineers, and field operations staff - to translate operational challenges into mathematical frameworks and data-driven solutions.
  • Build and deploy end-to-end AI/ML solutions in one or more upstream operations domains, applying best practices for data quality, explainability, and governance.
  • Develop GenAI applications (chatbots, copilots, multi-agent workflows) and/or time series, optimization, or predictive analytics models tailored to upstream operational needs.
  • Apply domain knowledge and physical principles to improve model accuracy and reliability in production and operations contexts.
  • Ensure production readiness through MLOps practices (CI/CD, MLflow, monitoring, cost optimization).
  • Work closely with business stakeholders to understand operational problems, communicate analytical findings, and drive adoption of data science solutions.
  • Contribute to the migration and enhancement of upstream digital analytics (UDA) tools, models, and workflows into the MODS framework.
  • Mentor peers and contribute to internal AI capability building.

About you
Minimum Skills & Qualifications:
  • 5+ years of direct experience delivering production AI/ML solutions, preferably in an upstream oil & gas or heavy industrial operations environment.
  • Experience applying data science to upstream operations workflows, including production monitoring, well performance analysis, equipment reliability, process optimization, or operational planning.
  • Demonstrated ability to work directly with business and operations teams to identify opportunities, scope analytical solutions, and deliver measurable impact.
  • Strong foundations in statistics, probability, and algorithm design.
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn); experience with Databricks/Spark.
  • Familiarity with GenAI frameworks (LangChain, Promptflow) and/or optimization libraries.
  • Experience with MLOps, model governance, and explainable AI techniques (e.g., SHAP, LIME).
  • Excellent communication, collaboration, and problem-solving skills.

Preferred Knowledge & Skills:
  • Experience in the energy industry, specifically in upstream production operations, thermal/heavy oil operations (e.g., SAGD, CSS), or similar asset-intensive environments.
  • Cloud platforms (Azure ML, Azure OpenAI, Databricks).
  • Knowledge graphs, hybrid search/RAG, and semantic technologies.
  • Experience with time series analysis, anomaly detection, or predictive maintenance solutions for industrial operations.
  • Familiarity with production data systems (e.g., SCADA, PI/OSIsoft, production databases).
  • Agile development and software engineering best practices.

Educational Background Recommended:
  • Master's or PhD in Data Science, Computer Science, Engineering, Applied Math, or related field.

Your benefits
An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
We offer you:
  • Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life.
  • Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match.
  • Workplace Flexibility: We have several programs such as "Flex your Day", providing ad-hoc flexibility around when and where you work, as well as longer-term programs such as leaves of absence and part-time work.
  • Comprehensive medical, dental, and vision plans.
  • Culture of Health: Programs and resources to support your wellbeing.
  • Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you.
  • Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you.
  • More information on our Company's benefits can be found at www.exxonmobilfamily.com
  • Please note benefits may be changed from time to time without notice, subject to applicable law.

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