data analyst

financial analyst

business intelligence developer Jobs in Houston

business intelligence developer

data & ai engineer

data analyst (on-site)

data scientist

ExxonMobil

<div>
 
 About Us
 
 
 At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world&rsquo;s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
 
 
 The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
 
 
 We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society&rsquo;s evolving needs. Learn more about
 
 our What and our Why
 
 and how we can work
 
 together
 
 .
 
 
 
 What You Will Do
 
 
 Lead the design, development, and deployment of advanced AI/ML solutions for commercial analytics including pricing, marketing, supply chain and trading. You will work end-to-end from problem framing and experimentation through production and sustainment while partnering with business stakeholders to deliver scalable, reliable, and impactful solutions.
 
 
 
 What Role Will You Play In The Team
 
 
 <ul>
 <li>
 Lead end-to-end delivery of AI/ML solutions: scoping, modeling, evaluation, deployment, and monitoring.
 </li>
 <li>
 Collaborate with cross-functional teams to translate business problems into mathematical frameworks.
 </li>
 <li>
 Build solutions in one or more domains listed above, applying best practices for data quality, explainability, and governance.
 </li>
 <li>
 Develop GenAI applications (chatbots, copilots, multi-agent workflows) and/or time series, optimization, or commercial analytics models.
 </li>
 <li>
 Ensure production readiness through MLOps practices (CI/CD, MLflow, monitoring, cost optimization).
 </li>
 <li>
 Mentor peers and contribute to internal AI capability building.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 Desired Skills
 
 
 <ul>
 <li>
 5+ years of direct experience delivering production AI/ML solutions.
 </li>
 <li>
 Expertise in commercial analytics for pricing, marketing, supply chain management or oil &amp; gas trading.
 </li>
 <li>
 Strong foundations in statistics, probability, and algorithm design.
 </li>
 <li>
 Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn) experience with Databricks/Spark.
 </li>
 <li>
 Familiarity with GenAI frameworks (LangChain, Promptflow) and/or optimization libraries.
 </li>
 <li>
 Experience with MLOps, model governance, and explainable AI techniques (e.g., SHAP, LIME).
 </li>
 <li>
 Excellent communication and collaboration skills.
 
 
 </li>
 </ul>
 
 Preferred Knowledge/Skills
 
 
 <ul>
 <li>
 Cloud platforms (Azure ML, Azure OpenAI, Databricks).
 </li>
 <li>
 Knowledge graphs, hybrid search/RAG, and semantic technologies.
 </li>
 <li>
 Agile development and software engineering best practices.
 
 
 </li>
 </ul>
 
 Educational Background Recommended
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in Data Science, Computer Science, Engineering, Applied Math, or related field.
 
 
 </li>
 </ul>
 
 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:
 
 
 <ul>
 <li>
 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.
 </li>
 <li>
 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.
 </li>
 <li>
 Workplace Flexibility: We have several programs such as &ldquo;Flex your Day&rdquo;, 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.
 </li>
 <li>
 Comprehensive medical, dental, and vision plans.
 </li>
 <li>
 Culture of Health: Programs and resources to support your wellbeing.
 </li>
 <li>
 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.
 </li>
 <li>
 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.
 
 
 </li>
 </ul>
 More information on our Company&rsquo;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.
 
 
 
 Stay connected with us
 
 
 
 Learn more at our
 
 website
 
 
 
 Follow us on
 
 LinkedIN
 
 and
 
 Instagram
 
 
 
 Like us on
 
 Facebook
 
 
 
 Subscribe our channel at
 
 YouTube
 
 
 
 
 Employee equal opportunity
 
 
 
 
 ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
 
 
 Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
 
 
 Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
 
 
 
 Job ID: 82223
 
 
</div>

Data Scientist, Commercial Analytics

Halliburton

<div>We are looking for the right people &mdash; people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world&rsquo;s largest providers of products and services to the global energy industry.<div><div><div><h2 class="jobSectionHeader">
Job Duties</h2></div><div><ul><li>
Under general supervision, an Associate Data Scientist will perform basic data engineering, data modeling or model deployment.
</li><li>An Associate Data Scientist will learn to perform data engineering, including obtaining data from sources, performing simple data exploration, and data cleaning.
</li><li>Under guidance, this role learns to build machine learning models, how to deploy models, and display models in dashboard technology.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Qualifications</h2></div><div><ul><li>
An undergraduate degree in STEM is required.
</li><li>Previous experience not required.</li></ul><h2 class="jobSectionHeader">
Hiring Up</h2>
Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available, including Associate Technical Professional up to a Technical Professional.</div></div><div><div><h2 class="jobSectionHeader">
World Class Benefits</h2></div><div>
At Halliburton, we're committed to providing you and your family with a comprehensive and affordable benefits package - which means we offer support for your physical, emotional, financial and parental needs, both now and in the future. When you join our team, you'll have access to a wide range of resources designed to help you thrive at work and at home. By clicking here, you can review a summary of the benefits available once you join.</div></div></div>
Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. 
Location
3000 N. Sam Houston Parkway E., Houston, Texas, 77032, United States 
Job Details
Requisition Number: 206577 
Experience Level: Entry-Level 
Job Family: Engineering/Science/Technology 
Product Service Line: Maintenance PSL 
Full Time / Part Time: Full Time
Additional Locations for this position: 
Compensation Information 
Compensation is competitive and commensurate with experience.</div>

Technical Professional Data Science (Associate -Technical Professional)

<div>About us 
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world&rsquo;s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. 
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. 
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society&rsquo;s evolving needs. Learn more about our What and our Why and how we can work together.<div><div><div><h2 class="jobSectionHeader"> 
About Houston</h2></div><div> 
ExxonMobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors.
By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company&rsquo;s ability to attract, develop and retain the top talent in the industry.
The campus is located in Spring, Texas, on 385 wooded acres immediately to the west of Interstate Highway 45 (I-45), at the intersection of I-45 and the Hardy Toll Road, approximately 25 miles from the cultural vibrancy of downtown Houston.
The campus was constructed to the highest standards of energy efficiency and environmental stewardship. Its design incorporates extensive research into best practices in building and workplace design through extensive benchmarking of the world&rsquo;s top academic, research, and corporate facilities.
Learn more about what we do in Houston here.
</div></div><div><div><h2 class="jobSectionHeader">What role you will play in our team</h2></div><div> 
<ul><li>
A Data Analyst will leverage data engineering and BI development techniques to pipeline, automate, analyze, and visualize data</li><li>
This role reports to the Continuous Improvement team and supports strategic decision-making for safety, production, and cost optimization by applying data-driven insights</li><li>
This job will be located in Houston, TX</li></ul></div></div><div><div><h2 class="jobSectionHeader">
What you will do</h2></div><div> 
<ul><li>
Develop automated reports, conduct analyses, and provide visibility into KPIs and performance drivers and trends; help create final displays of the results, often for formal presentations</li><li>
Build and manage data pipelines integrating structured and unstructured data sources</li><li>
Design, develop, and institute automated workflows utilizing various technologies (SQL, Python, Databricks, Alteryx, Spotfire, MS Power Platform and more) to minimize human error, standardize data, and apply data management best practices with a focus on data integrity and governance</li><li>
Develop ETL processes and maintain application integrations across multiple systems and data sources</li><li>
Coordinate with Field and Engineering to perform analysis on drivers impacting LOE, Capital, and Production</li><li>
Develop, maintain, and distribute recurring reports for Permian Operations timely and accurately</li><li>
Assist in compiling data for regulatory, financial, and accounting reporting</li><li>
Maintain up-to-date and accurate data analysis and tool documentation for reference purposes</li><li>
Evaluate current processes around data entry, data QC, report distribution and provide recommendations and solutions on optimizing existing processes</li><li>
Identify redundancies, automation opportunities, process inefficiencies and provide solutions</li><li>
Communicate, collaborate, and report with multiple departments &ndash; field operations, IT, accounting, data support groups, etc</li><li>
Develop, maintain, distribute, and provide training on standardized tools for analyzing LOE, Capital, Production, and SSHE events/observations</li><li>
Stay updated on advancements in data automation, analysis, AI, machine learning, and digital oilfield technologies</li><li>
Mentor engineers/analysts within the team on data engineering and BI development techniques</li></ul></div></div><div><div><h2 class="jobSectionHeader">
About You</h2></div><div> 
<ul><li>
Bachelor's degree required in Data/Computer Science, Engineering, Mathematics or related field</li><li>
Education should include mathematical and computer training</li><li>
5+ years experience in a technical role</li><li>
Advanced level of data handling skills to include data integration and creating reports</li><li>
Proficient working with relational databases and generating complex data visualizations</li><li>
Can modify established workflows and evaluate and assess errors as they arise</li><li>
Can interpret, understand, and explain workflows and data processes</li><li>
Performs complex analytics, generates insightful dashboards and or can write code to automate basic redundant workflows/processes</li><li>
Works under limited supervision</li><li>
Works with technical staff and professionals</li><li>
Experience with data visualization including Spotfire and PowerBI applications is required</li><li>
Experience with ETL processes and Workflow automation (Ex: Databricks, Alteryx) is required</li><li>
Advanced proficiency in MS Office suite</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Preferred Qualifications/ Experience</h2></div><div> 
<ul><li>
Understanding of programming languages such as Python, R, Matlab or similar is highly preferred</li><li>
Subject Matter Expert within select functions applicable to Data Analyst role</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Your benefits</h2></div><div> 
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:<ul><li> 
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.</li><li>
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</li><li>
Comprehensive medical, dental, and vision plans.</li><li>
Culture of Health: Programs and resources to support your wellbeing.</li><li>
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.</li><li>
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.</li></ul> 
More information on our Company&rsquo;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.</div></div><div><div><h2 class="jobSectionHeader"> 
Stay connected with us</h2></div><div> 
Learn more at our website 
Follow us on LinkedIN and Instagram 
Like us on Facebook 
Subscribe our channel at YouTube</div></div><div><div><h2 class="jobSectionHeader">
Employer equal opportunity</h2></div><div> 
ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.</div></div></div> 
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. 
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
Job Id: 82322</div>

Data Analyst

<div>
 
 About Us
 
 
 At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world&rsquo;s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
 
 
 The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
 
 
 We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society&rsquo;s evolving needs. Learn more about
 
 our What and our Why
 
 and how we can work
 
 together
 
 .
 
 
 
 About Houston
 
 
 ExxonMobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors.
 
 
 By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company&rsquo;s ability to attract, develop and retain the top talent in the industry.
 
 
 The campus is located in Spring, Texas, on 385 wooded acres immediately to the west of Interstate Highway 45 (I-45), at the intersection of I-45 and the Hardy Toll Road, approximately 25 miles from the cultural vibrancy of downtown Houston.
 
 
 The campus was constructed to the highest standards of energy efficiency and environmental stewardship. Its design incorporates extensive research into best practices in building and workplace design through extensive benchmarking of the world&rsquo;s top academic, research, and corporate facilities.
 
 
 
 About
 
 
 Learn more about what we do in Houston
 
 here
 
 
 .
 
 
 
 What role you will play in our team
 
 
 
 <ul>
 <li>
 A Data Analyst will leverage data engineering and BI development techniques to pipeline, automate, analyze, and visualize data
 </li>
 <li>
 This role reports to the Continuous Improvement team and supports strategic decision-making for safety, production, and cost optimization by applying data-driven insights
 </li>
 <li>
 This job will be located in Houston, TX
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 <ul>
 <li>
 Develop automated reports, conduct analyses, and provide visibility into KPIs and performance drivers and trends help create final displays of the results, often for formal presentations
 </li>
 <li>
 Build and manage data pipelines integrating structured and unstructured data sources
 </li>
 <li>
 Design, develop, and institute automated workflows utilizing various technologies (SQL, Python, Databricks, Alteryx, Spotfire, MS Power Platform and more) to minimize human error, standardize data, and apply data management best practices with a focus on data integrity and governance
 </li>
 <li>
 Develop ETL processes and maintain application integrations across multiple systems and data sources
 </li>
 <li>
 Coordinate with Field and Engineering to perform analysis on drivers impacting LOE, Capital, and Production
 </li>
 <li>
 Develop, maintain, and distribute recurring reports for Permian Operations timely and accurately
 </li>
 <li>
 Assist in compiling data for regulatory, financial, and accounting reporting
 </li>
 <li>
 Maintain up-to-date and accurate data analysis and tool documentation for reference purposes
 </li>
 <li>
 Evaluate current processes around data entry, data QC, report distribution and provide recommendations and solutions on optimizing existing processes
 </li>
 <li>
 Identify redundancies, automation opportunities, process inefficiencies and provide solutions
 </li>
 <li>
 Communicate, collaborate, and report with multiple departments &ndash; field operations, IT, accounting, data support groups, etc
 </li>
 <li>
 Develop, maintain, distribute, and provide training on standardized tools for analyzing LOE, Capital, Production, and SSHE events/observations
 </li>
 <li>
 Stay updated on advancements in data automation, analysis, AI, machine learning, and digital oilfield technologies
 </li>
 <li>
 Mentor engineers/analysts within the team on data engineering and BI development techniques
 
 
 </li>
 </ul>
 
 About You
 
 
 <ul>
 <li>
 Bachelor's degree required in Data/Computer Science, Engineering, Mathematics or related field
 </li>
 <li>
 Education should include mathematical and computer training
 </li>
 <li>
 5+ years experience in a technical role
 </li>
 <li>
 Advanced level of data handling skills to include data integration and creating reports
 </li>
 <li>
 Proficient working with relational databases and generating complex data visualizations
 </li>
 <li>
 Can modify established workflows and evaluate and assess errors as they arise
 </li>
 <li>
 Can interpret, understand, and explain workflows and data processes
 </li>
 <li>
 Performs complex analytics, generates insightful dashboards and or can write code to automate basic redundant workflows/processes
 </li>
 <li>
 Works under limited supervision
 </li>
 <li>
 Works with technical staff and professionals
 </li>
 <li>
 Experience with data visualization including Spotfire and PowerBI applications is required
 </li>
 <li>
 Experience with ETL processes and Workflow automation (Ex: Databricks, Alteryx) is required
 </li>
 <li>
 Advanced proficiency in MS Office suite
 
 
 </li>
 </ul>
 
 Preferred Qualifications/ Experience
 
 
 <ul>
 <li>
 Understanding of programming languages such as Python, R, Matlab or similar is highly preferred
 </li>
 <li>
 Subject Matter Expert within select functions applicable to Data Analyst role
 
 
 </li>
 </ul>
 
 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:
 
 
 
 <ul>
 <li>
 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.
 </li>
 <li>
 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
 </li>
 <li>
 Comprehensive medical, dental, and vision plans.
 </li>
 <li>
 Culture of Health: Programs and resources to support your wellbeing.
 </li>
 <li>
 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.
 </li>
 <li>
 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.
 
 
 </li>
 </ul>
 More information on our Company&rsquo;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.
 
 
 
 Stay connected with us
 
 
 
 Learn more at our
 
 website
 
 
 
 Follow us on
 
 LinkedIN
 
 and
 
 Instagram
 
 
 
 Like us on
 
 Facebook
 
 
 
 Subscribe our channel at
 
 YouTube
 
 
 
 
 Employer equal opportunity
 
 
 
 
 ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
 
 
 
 Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
 
 
 Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
 
 
 
 Job Id: 82322
 
</div>

TRUITY CREDIT UNION

<div>JOB SUMMARY
Truity Credit Union is seeking a data-savvy and forward-thinking Data and AI Engineer to advance our data management and AI enablement capabilities. This role focuses on automating data workflows, refining data quality, and leveraging AI/ML tools to solve practical business problems. Rather than full-scale software development, this position emphasizes data transformation, enrichment, querying, and AI-assisted processing, especially using Python, Node.js and SQL.
You&rsquo;ll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models and apply AI to real-world business/operational problems. 
ESSENTIAL FUNCTIONS
<div><ul><li>Design and implement data manipulation pipelines using scripting languages like Python and SQL for ingestion, cleansing, enrichment, and formatting.</li></ul>
<ul><li>Apply AI tools and frameworks to automate data classification, validation, and reporting tasks.</li></ul>
<ul><li>Configure and test generative models (LLMs) to enhance data-driven workflows and knowledge management.</li></ul>
<ul><li>Build lightweight scripts and tools for on-demand data exploration, transformation, and summarization.</li></ul>
<ul><li>Partner with analysts and business users to identify AI-powered opportunities for streamlining data operations.</li></ul>
<ul><li>Integrate LLM-based agents for structured and unstructured data extraction, Q&amp;A, and document parsing.</li></ul>
<ul><li>Use vector databases, semantic search, and embedding models to enhance data retrieval and knowledge systems.</li></ul>
<ul><li>Support and maintain data pipelines across structured systems (e.g., SQL warehouses) and semi-structured data sources.</li></ul>
<ul><li>Leverage prompt engineering and AI orchestration frameworks (e.g., LangChain, semantic routers) to optimize task handling.</li></ul>
<ul><li>Monitor AI/data automation scripts to ensure accuracy, transparency, and compliance with data privacy standards.</li></ul>
<ul><li>Document data workflows and AI tools clearly for reuse, maintainability, and auditability.</li></ul>
<ul><li>Collaborate with the risk, security, and compliance teams to ensure responsible and ethical use of AI systems.</li></ul>
</div>
KNOWLEDGE, SKILLS, &amp; ABILITIES
<ul><li>Proficiency in Python for scripting, data manipulation, and automation.</li>
<li>Strong command of SQL for querying, transforming, and joining relational data.</li>
<li>Experience with LLM tools and frameworks such as LangChain, OpenAI APIs, Retrieval-Augmented Generation (RAG).</li>
<li>Familiarity with vector stores (e.g., FAISS, Weaviate) and embedding-based search.</li>
<li>Understanding of data pipelines and orchestration tools (e.g., dbt, Airflow, Pandas workflows).</li>
<li>Knowledge of AI agent frameworks and task routing techniques.</li>
<li>Ability to build and refine prompt templates and AI-assisted data workflows.</li>
<li>Comfort working with cloud environments (e.g., Azure, AWS, or GCP).</li>
<li>Strong documentation, communication, and cross-functional collaboration skills.</li>
<li>Knowledge of version control, CI/CD pipelines, and containerization tools is preferred</li>
<li>Awareness of ethical AI, privacy considerations, and data compliance standards.</li>
</ul>
QUALIFICATIONS
<ul><li>Bachelor&rsquo;s degree in Data Science, Computer Science, or related technical field.</li>
<li>5+ years of experience in data engineering, analytics, or scripting-heavy roles.</li>
<li>2+ years working with AI/ML tools or automation frameworks, especially for data-related use cases.</li>
</ul>
REGULATORY COMPLIANCE &amp; OTHER REQUIREMENTS
<ul><li>Must maintain confidentiality and adhere to policies including Bank Secrecy Act (BSA), Office of Foreign Asset Control (OFAC), Anti-Money Laundering (AML), and Identity Theft Red Flags.</li>
<li>Regular attendance and active collaboration are essential.</li>
<li>Ability to perform functions requiring manual dexterity and lift objects up to 25lbs when necessary.</li>
Reasonable accommodations will be made under the ADA when applicable. 
<li>
 
</li></ul>This job description should not be interpreted as all inclusive. It is intended to identify the duties, responsibilities and requirements of this job. Incumbents may be requested to perform job-related responsibilities and tasks other than those stated in this description. Any physical demand of essential function or requirement of this position will be evaluated as necessary should an incumbent/applicant be unable to perform the function or requirement due to a disability as defined by the Americans with Disabilities Act (ADA). Reasonable accommodation for the specific disability will be made for the incumbent/applicant when possible.
Equal Opportunity Employer/Veterans/Disabled
Truity is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact 918.336.7662 or jobs@truitycu.org for assistance. You may also contact us at that same number and email, if you would like to see a copy of our Affirmative Action Plan.</div>

Data & AI Engineer

NEUMO

<div>Job Summary:
We are seeking a resourceful and detail‑oriented Data Analyst who enjoys investigating data, uncovering patterns, and identifying what others may not notice. In this role, you will analyze sales and use tax data &mdash; primarily using Excel and research tools &mdash; to detect, document, and correct sales/use tax permit and reporting errors.
The ideal candidate is naturally curious, enjoys digging through information, and brings creative thinking to the work. While advanced analytics tools are not required, interest or basic experience with data‑driven problem solving and AI-assisted research (e.g., Microsoft Copilot, Claude) will help you excel in this role.
This is an excellent opportunity for someone early in their career who wants to make a meaningful impact, grow professionally, and help shape a forward‑thinking approach to tax compliance analytics. 
Duties and Responsibilities:<ul><li>
Review and analyze sales tax permit data to identify taxpayers that are not properly permitted</li><li>
Review and analyze sales tax reporting data to identify taxpayers that may be sourcing and reporting local sales/use tax incorrectly</li><li>
Review and analyze additional external data sets and sources &ndash; local news, relocation announcements, licensing databases, and more to identify businesses that may not be in compliance</li><li>
Use Excel to organize, compare, and analyze datasets; build repeatable methods for ongoing analysis.</li><li>
Use AI-enabled tools (e.g., Microsoft Copilot, Claude) to enhance research, pattern detection, and efficiency.</li><li>
Prepare and submit detailed findings to the Comptroller for corrections or updates.</li><li>
Recommend new processes, tools, or data sources to improve overall compliance detection.</li><li>
Perform additional duties as needed to support the audit and compliance team.</li></ul> 
Education and Experience:<ul><li>
Bachelor&rsquo;s degree preferred, not required, majors such as Data Analytics, Business, Economics, Accounting, Math, or related fields are all valuable.</li><li>
Accounting degree not required; analytical aptitude and curiosity are more important.</li><li>
Experience using Excel for data analysis (pivot tables, lookups, filtering, comparison work).</li><li>
Exposure to analytical concepts or basic data tools is a plus, but not required.</li></ul> 
Knowledge, Skills and Abilities:<ul><li>
Strong analytical and problem‑solving abilities.</li><li>
Naturally curious; enjoys researching and discovering information.</li><li>
Creative thinker with the ability to identify new data sources and explore unconventional pathways.</li><li>
Self‑motivated and comfortable working independently.</li><li>
Strong written and verbal communication skills.</li><li>
Advanced in Excel; willing to learn additional analytical tools.</li><li>
Interest in or familiarity with AI-based tools (Copilot, Claude) is valued.</li></ul> 
Work Environment:<ul><li>
Office setting with moderate noise levels.</li><li>
Primarily computer‑based work with occasional movement throughout the office.</li><li>
Regular communication via phone and email.</li></ul> 
Physical Demands:<div><ul><li>
Must be able to remain seated for extended periods.</li><li>
Regular use of a computer and other office machinery, such as printers and copy machines.</li><li>
Occasional movement around the office.</li><li>
Frequent communication via telephone.</li></ul></div> 
Neumo Summary:
With the backing of four decades of public sector expertise and corporate capability, Neumo has successfully supported government services. Neumo was honored and recognized for four (4) consecutive years as a GovTech 100 Company representing the top 100 companies focused on making a difference in and selling to state and local government agencies across the United States.
Neumo is committed to helping communities thrive and brings a wealth of experience combined with innovation. Today, Neumo offers more administrative and financial support to government officials than any other organization. And with a responsive, client-focused approach, we foster partnerships that give our customers the certainty they need to accomplish more.
Neumo offers a competitive benefits and compensation package and is looking for team members who will thrive in our dynamic environment.
Neumo is an Equal Opportunity Employer. Selection for a position will be made without regard to race, religion, national origin, sex, political affiliation, marital status, non-disqualifying physical handicap, and age.</div>

Data Analyst (On-Site)

GreenGas USA

<div>
 At GreenGas, we&rsquo;re helping lead the global energy transition by transforming waste into renewable energy and measurable decarbonization. We&rsquo;re a fast-growing team of expert innovators, engineers, and problem-solvers committed to advancing global sustainability, fueling a circular economy, and creating a cleaner future for all. Join us and help shape the future of renewable energy.
 
 
 
 
 Data Engineer - Intern
 
 
 
 
 
 
 Location:
 
 
 Houston, TX / Hybrid
 
 
 
 
 Reports To:
 
 
 IT Manager
 
 
 
 
 FLSA Status:
 
 
 Non-Exempt
 
 
 
 Position Summary
 
 
 
 The Data Engineer Intern plays a supporting role in advancing the organization&rsquo;s data-driven initiatives. In this role, the intern assists in building and maintaining elements of the data infrastructure that enable data to be collected, stored, processed, and made accessible for analysis, reporting, and machine learning. Working under the guidance of experienced engineers, the IT Data Engineer Intern gains hands-on experience with data pipelines, data platforms, and data integration processes while contributing to projects that improve the availability, quality, and usability of organizational data.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and Implement ETL/ELT Processes: Build robust Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines to move data from various sources (databases, APIs, streaming sources, external data providers) into data warehouses, data lakes, or other data repositories.
 </li>
 <li>
 Develop and Maintain Scalable Data Pipelines: Create efficient and scalable data pipelines to handle large volumes of structured and unstructured data.
 </li>
 <li>
 Automate Data Workflows: Data engineers will write code and scripts to automate repetitive tasks in data collection, processing, and delivery. Ie Databases to PBIs.
 </li>
 <li>
 Monitor and Troubleshoot Pipelines: Continuously monitor pipeline performance, identify and resolve data-related issues, errors, and performance bottlenecks.
 
 
 </li>
 </ul>
 Data Architecture and Storage
 
 
 <ul>
 <li>
 Design and Maintain Data Architecture: Selecting appropriate technologies for data storage such as relational databases, NoSQL databases, data lakes, data warehouses, cloud storage services) and designing efficient data models, schemas.
 </li>
 <li>
 Optimize Data Storage and Retrieval: Work to ensure data is stored in a way that allows for high-performance queries and efficient analytical and operational use cases.
 </li>
 <li>
 Evaluate and Implement Data Solutions: Research and implement new data technologies, tools, and frameworks to improve data infrastructure and processes.
 </li>
 <li>
 Cloud Platform Management: Proficiency in Azure to deploy and manage data solutions in the cloud, including automation, databases and PowerBI&rsquo;s.
 
 
 </li>
 </ul>
 Data Quality, Governance, and Security
 
 
 <ul>
 <li>
 Ensure Data Quality and Integrity: Implement validation rules, cleansing procedures, and monitoring systems to detect and rectify anomalies, ensuring data accuracy.
 </li>
 <li>
 Implement Data Governance Frameworks: Define standards and policies for data usage, ensuring consistency, reliability, and compliance (e.g., GDPR, HIPAA).
 </li>
 <li>
 Manage Data Security and Access: Implement security controls and access management policies to protect sensitive information from unauthorized access or theft.
 
 
 </li>
 </ul>
 Collaboration and Support
 
 
 <ul>
 <li>
 Provide Data Access Tools: Set up dashboards, analytics tools, and API endpoints to make processed data accessible to end-users and applications.
 </li>
 <li>
 Document Technical Designs and Workflows: Create comprehensive documentation for data pipelines, architecture, and processes to facilitate system transparency.
 </li>
 <li>
 Support Data-Driven Decision Making: By providing clean, reliable, and accessible data, data engineers enable organizations to make informed business decisions.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Programming Languages: Python, Java, SQL and related technologies
 </li>
 <li>
 Database Systems: Strong knowledge of relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra).
 </li>
 <li>
 Data Warehousing: Experience with data warehousing and platforms (e.g., Snowflake).
 </li>
 <li>
 ETL Tools: Proficiency with various ETL tools such as snowflake and Databricks
 </li>
 <li>
 Cloud Platforms: Experience with Azure Suite, Jira DevOps and Ticketing system.
 </li>
 <li>
 Big Data Technologies: (Hadoop, Spark, Kafka, Hive).
 </li>
 <li>
 Data Modeling and Schema Design: Ability to design efficient data models.
 </li>
 <li>
 Scripting and Automation: For automating data processes.
 </li>
 </ul>
</div>

Data Engineer - Intern

Explore 327+ Data scientist in Houston this March. Find roles across top companies and apply now to boost your career.

327 data scientist jobs In Houston

Data Scientist, Commercial Analytics

Technical Professional Data Science (Associate -Technical Professional)

Data Analyst

Data Analyst

Data & AI Engineer

Data Analyst (On-Site)

Data Engineer - Intern