sr. ai & data engineer–trading analytics

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sr. ai & data engineer–trading analytics Jobs in Houston

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business analyst - azure data & bi

data scientist

Fustis LLC

<div>Job Title:
Data Scientist
Location:
100% Remote
Duration:
12 Months
Work Authorisation:
USC Only
Pay Rate:
$65/hr. on W2
Mode of Interview:
Video 
Remote with Forged Fiber 37
Position Overview: 
 
Forged Fiber 37 is a rapidly growing fiber infrastructure company focused on delivering high-quality broadband and network solutions. As we continue to scale, we are investing heavily in data, analytics, artificial intelligence, and automation to drive smarter business decisions, improve operational efficiency, and accelerate growth. 
We are seeking a Data Scientist who is excited to help build the next generation of data and AI capabilities within our organization. Telecommunications or fiber experience is not required. We value curiosity, adaptability, and individuals who are eager to learn our business while bringing fresh ideas and innovative approaches. 

 
Position Summary: 
The Data Scientist will play a critical role in developing analytics, machine learning models, AI-driven solutions, and business intelligence tools that support operations across the organization. This individual will work closely with leadership, operations, engineering, construction, finance, and technology teams to uncover insights, automate processes, and develop intelligent solutions that create measurable business value. 
The ideal candidate thrives in a fast-paced, entrepreneurial environment and enjoys taking ownership of projects from concept through deployment. 

 
Key Responsibilities: 
Develop and deploy machine learning and AI solutions to improve business performance and operational efficiency. 
Analyze large datasets to identify trends, patterns, risks, and opportunities. 
Design and maintain executive dashboards and reporting solutions using Looker. 
Write and optimize complex SQL queries to support analytics and business intelligence initiatives. 
Build scalable data solutions within Google Cloud Platform (GCP). 
Develop, fine-tune, and evaluate Large Language Models (LLMs) and generative AI applications. 
Design and implement Agentic AI solutions to automate workflows and business processes. 
Partner with stakeholders to translate business challenges into data-driven solutions. 
Support forecasting, resource planning, operational analytics, and performance reporting initiatives. 
Collaborate with engineering and technical teams to productionize AI and ML models. 
Present insights and recommendations to technical and non-technical audiences. 
Stay current on emerging technologies, AI advancements, and industry best practices. 

 
Required Qualifications: 
Bachelor//'s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. 
4+ years of professional experience in Data Science, Analytics, Machine Learning, or a related role. 
Advanced SQL expertise with experience querying and optimizing large datasets. 
Strong experience developing dashboards and reports using Looker BI. 
Hands-on experience with Google Cloud Platform (GCP). 
Experience working with Large Language Models (LLMs), prompt engineering, or model fine-tuning. 
Practical experience developing and deploying AI/ML solutions. 
Experience building AI agents, autonomous workflows, or Agentic AI applications. 
Strong Python programming skills. 
Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or similar. 
Excellent analytical, problem-solving, and communication skills. 
 
Preferred Qualifications: 
Experience with BigQuery and cloud-based data warehouses. 
Experience with Retrieval-Augmented Generation (RAG) architectures. 
Knowledge of vector databases and semantic search technologies. 
Experience with MLOps, CI/CD, and model deployment pipelines. 
Startup or high-growth company experience. 
Familiarity with construction, infrastructure, utilities, broadband, or telecommunications industries. 
What Success Looks Like 
Building scalable reporting and analytics solutions that improve decision-making. 
Developing AI-powered tools that automate manual processes and increase efficiency. 
Creating predictive models that help leadership make better operational and financial decisions. 
Bringing innovative ideas and emerging technologies to the business. 
Helping establish a modern data and AI practice that supports Forged Fiber 37//'s continued growth.</div>

Data Scientist

UTHealth Houston

<div>UTHealth Houston SBMI's Center for Secure Artificial intelligence for hEalthcare (SAFE) is hiring a Research Scientist! This role will develop and evaluate novel computational phenotyping methods using AI/ML approaches applied to large-scale healthcare data. The Research Scientist will collaborate with clinicians, informaticians, and data scientists to conduct research, publish findings, and support grant-funded projects. An strong candidate will have an expertise in computational phenotyping, machine learning, and artificial intelligence; working with EHR and other real-world healthcare data, strong programming skills (Python, SQL, R); experience with multimodal data integration, NLP, and/or foundation models; familiarity with health informatics, clinical research, and healthcare data standards; and strong publication record and ability to work in interdisciplinary teams.
What we do here changes the world. UTHealth Houston is Texas&rsquo; resource for healthcare education, innovation, scientific discovery, and excellence in patient care. That&rsquo;s where you come in.
Once you join us you won't want to leave. It&rsquo;s because we reward our team for the excellent service they provide. Our total rewards package includes the benefits you&rsquo;d expect from a top healthcare organization (benefits, insurance, etc.), plus:<ul><li>
100% paid medical premiums for our full-time employees</li><li>
Generous time off (holidays, preventative leave day, both vacation and sick time &ndash; all of which equates to around 37-38 days per year)</li><li>
The longer you stay, the more vacation you&rsquo;ll accrue!</li><li>
Longevity Pay (Monthly payments after two years of service)</li><li>
Build your future with our awesome retirement/pension plan!</li></ul>
We take care of our employees! As a world-renowned institution, our employees&rsquo; wellbeing is important to us. We offer work/life services such as...<ul><li>
Free financial and legal counseling</li><li>
Free mental health counseling services</li><li>
Gym membership discounts and access to wellness programs</li><li>
Other employee discounts including entertainment, car rentals, cell phones, etc.</li><li>
Resources for child and elder care</li><li>
Plus many more!</li></ul>
Position Summary:
Coordinates, oversees, and directs research or other technical operations. Provides technical expertise to facilitate research design, conducting, and reporting.
Position Key Accountabilities:<ul><li>
Conducts executes and assists in interpreting the results of complex scientific experiments using advanced equipment, complex technique methods, and procedures.</li><li>
Evaluates and interprets data analysis to support publications. Prepares results: for publication, presentation at meetings, or direct communication with faculty members.</li><li>
Determines project feasibility in terms of staff, time, and resources.</li><li>
Plans and performs quantitative and qualitative research procedures in various scientific areas. Identifies ideas for new research projects by partnering with key stakeholders. Formulates a project and implements experiments to execute the research project.</li><li>
Assists the principal investigator in writing and submitting grant applications.</li><li>
Stays abreast of new research progress and technological advances to upgrade research skills and produce accurate results. Researches literature for new progress and technological advances to upgrade research skills.</li><li>
Maintains lab equipment, assists in necessary repairs, and promotes a safe laboratory environment. Ensures direct reports follow safety procedures and attend basic safety training courses.</li><li>
As a senior member of the lab, may lead lab meetings and mentor junior lab members, including staff, students, and postdocs.</li><li>
Performs other duties as assigned.</li></ul> 
Certification/Skills:
None
Minimum Education:
Doctorate Degree required
Minimum Experience:
2 years of experience in a related research environment and have verifiable publications within the field of the research project required
Physical Requirements:
Exerts up to 20 pounds of force occasionally and/or up to 10 pounds frequently and/or a negligible amount constantly to move objects.
Security Sensitive:
This position is a security-sensitive position pursuant to Texas Education Code &sect;51.215 and Texas Government Code &sect;411.094. To the extent that a position requires the holder to research, work on, or have access to critical infrastructure as defined in Texas Business and Commerce Code &sect;117.001(2), the ability to maintain the security or integrity of the infrastructure is a minimum qualification to be hired for and to continue to be employed in that position. Personnel in such positions, and similarly situated state contractors, will be routinely reviewed to determine whether things such as criminal history or continuous connections to the government or political apparatus of a foreign adversary might prevent the applicant, employee, or contractor from being able to maintain the security or integrity of the infrastructure. A foreign adversary is a nation listed in 15 C.F.R. &sect;791.4.
Residency Requirement:
Employees must permanently reside and work in the State of Texas.</div>

Research Scientist - SBMI's Center for Secure Artificial intelligence For hEalthcare (SAFE)

microvast

<div>AI/ML Engineer &ndash; Time Series &amp; Robotics
Are you ready to be part of a company that's not just talking about the future, but energetically shaping it? Join the Microvast Team (NASDAQ: MVST), a technology innovator that designs, develops and manufactures lithium-ion battery solutions. Founded in 2006 and headquartered in Stafford, TX, Microvast is renowned for its cutting-edge cell technology and its vertical integration capabilities which extend from core battery chemistry (cathode, anode, electrolyte, and separator) to battery packs. By integrating the process from raw material to system assembly, Microvast has developed a family of products covering a broad breadth of market applications. More information can be found on the corporate website: www.microvast.com
If you&rsquo;re ready to be part of a company that&rsquo;s not just adapting to change, but driving it, Microvast is the place for you. Apply now and electrify your career with a true leader in the global energy transformation.<h2 class="jobSectionHeader">
Role Summary</h2>
The AI / ML Engineer will develop and deploy machine learning algorithms that analyze multi-sensor time-series data from vehicles and robotic platforms. This position focuses on building robust models that improve system performance, monitoring, and intelligent behavior, working closely with robotics, controls, and embedded teams.<h2 class="jobSectionHeader">
Key Responsibilities</h2><div><ul><li>
Design and implement ML models for time-series sensor data (e.g., currents, torques, IMUs, joint states, vehicle signals, cameras, GPS).</li><li>
Build and maintain data pipelines for collection, preprocessing, feature extraction, and labeling.</li><li>
Prototype algorithms in Python (e.g., PyTorch, TensorFlow) and collaborate with embedded engineers to create deployable, resource-efficient models.</li><li>
Create production level models using C++ to improve efficiency in runtime and resource use from the Python prototype</li><li>
Evaluate model performance using appropriate metrics; iterate to improve robustness and generalization across platforms and use cases.</li><li>
Work with robotics and vehicle engineers to understand requirements and convert them into concrete ML problems and model specifications.</li><li>
Support data visualization, dashboards, and tools for internal users to interpret model outputs and system behavior.</li><li>
Document models, experiments, datasets, and results to ensure reproducibility and traceability.</li></ul></div><h2 class="jobSectionHeader">
Required Qualifications</h2><div><ul><li>
Bachelor&rsquo;s, Master&rsquo;s, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.</li><li>
Experience with embedded / edge AI or model compression and optimization techniques.</li><li>
Hands-on experience with machine learning for time-series or sensor data.</li><li>
Strong proficiency in C++ and ML frameworks.</li></ul></div>
Experience working with real-world noisy data (e.g., automotive, robotics, industrial, IoT).<div><ul><li>
Familiarity with data science tools and workflows (NumPy, Pandas, Jupyter, etc.).</li><li>
Ability to work in a cross-functional team and communicate technical concepts clearly.</li></ul></div><h2 class="jobSectionHeader">
Preferred Qualifications</h2><div><ul><li>
Familiarity with control systems, robotics, or vehicle dynamics.</li><li>
Experience with MLOps tools (experiment tracking, model versioning, CI/CD for ML).</li><li>
Experience with ROS or other multimodal sensor data frameworks</li><li>
Prior work in a product or R&amp;D environment with multi-disciplinary teams.</li></ul></div>
Expected Compensation
 Annual salary + benefits 
 
 Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Applicants for employment at Microvast must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Microvast is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws. Microvast is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
Privacy is a top priority for Microvast. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Privacy Policy - Microvast.</div>

Engineer -AI/ML -Time Series & Robotics

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
 
 .
 
 
 
 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>

Data Analyst

Daxwell

<div>
 
 We are seeking Data Analyst to support strategic and operational decision-making through rigorous data analysis, automation, reporting, and visualization. The ideal candidate has a combination of strong analytical and SQL skills with fluency in data analytics and automation.
 
 
 
 
 
 Responsibilities include:
 
 
 
 
 <ul>
 <li>
 Design, build, and maintain automated data pipelines and dashboards to support business operations, planning, and performance tracking.
 </li>
 <li>
 Conduct data validation, cleansing, and transformation on structured and semi-structured datasets using SQL, Python, and Spark.
 </li>
 <li>
 Perform exploratory data analysis and develop ad-hoc analytical models to identify trends, anomalies, and optimization opportunities.
 </li>
 <li>
 Support data governance, quality assurance, and contract validation efforts within the enterprise data platform.
 </li>
 <li>
 Develop and maintain KPI frameworks across finance, supply chain, and operations domains; ensure data definitions are consistent across systems.
 </li>
 <li>
 Translate complex data into clear, actionable insights through well-structured narratives, visualizations, and business presentations.
 </li>
 <li>
 Partner closely with engineering, finance, operations, and product teams to align analytical outputs with business priorities.
 </li>
 <li>
 Contribute to the development of analytical feature stores and assist Data Science teams with dataset preparation for modeling and ML pipelines.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Expertise in SQL and Python, with hands-on experience using Pandas and PySpark for analytical workflows.
 </li>
 <li>
 Deep understanding of data modeling, batch processing design, and performance optimization for analytical queries.
 </li>
 <li>
 Experience in business analytics, forecasting, or operational planning within enterprise environments preferred.
 </li>
 <li>
 Familiarity with EKS and EMR deployments, as well as data frameworks such as Apache Airflow, Flink, and Kafka, is a plus.
 </li>
 <li>
 Strong communication skills, with the ability to articulate analytical findings and recommendations to technical and non-technical stakeholders alike.
 </li>
 </ul>
 
 
</div>

Shell

<div>Texas, United States of America 
 
Job Family Group:
Information Technology (IT) 
 
Worker Type:
Regular 
 
Posting Start Date:
June 11, 2026 
 
Business Unit:
Projects and Technology 
 
Experience Level:
Experienced Professionals 
 
Job Description:
What&rsquo;s the role
Shell is seeking a Sr. AI &amp; Data Engineer &ndash; Trading Analytics (also known internally as Data Engineering Lead) to join its team in Houston, TX. This role is ideal for an AI Engineer with a strong foundation in data engineering who can design and deliver AI-driven front-office analytics and GenAI/agentic solutions, collaborating closely with traders and trading analysts.
Shell Trading &amp; Supply is one of the world&rsquo;s leading energy and commodity trading organizations, operating across crude, refined products, gas, LNG, power, and environmental products. Trading sits at the heart of Shell&rsquo;s energy transition, requiring rapid, data‑driven decision making under complex market conditions. Within Trading &amp; Supply, the Crude &amp; Products business plays a critical commercial role, operating in highly regulated, fast‑moving markets where high‑quality analytics, data engineering, and AI are key competitive differentiators. Our focus is to deliver secure, reliable, and trader‑centric digital solutions that simplify workflows, enhance insight, and drive commercial value without compromising risk, safety, or controls.
As a Sr. AI &amp; Data Engineer in Trading Analytics, you will work directly with front‑office teams to design, build, and productionize AI‑driven analytics over market pricing and fundamental data. You will combine Databricks‑based data engineering, statistical and econometric techniques, and modern GenAI/agentic workflows to deliver insight at speed. This is a hands‑on individual contributor role with a strong bias toward practical delivery. You will operate in a high‑touch, hybrid model, iterating rapidly with users on‑desk, while engineering solutions to production‑grade standards using modern CI/CD and governance practices. Also, this role is rapid prototyping, iterative learning, and incremental production hardening, balanced with adherence to engineering, security, and governance frameworks to maintain speed and reliability.
Accountabilities:
Front‑Office Analytics &amp; Insight
<ul><li>Design, build, and deliver AI‑driven analytics for traders and analysts, including seasonality analysis, correlation studies, regression models, forecasting, and scenario modelling over market pricing and fundamentals data
</li><li>Work closely with traders and analysts to translate ambiguous business questions into clear analytical problem statements and working solutions
</li><li>Clearly communicate analytical outputs and AI‑generated insights to commercial stakeholders in a concise and actionable manner
</li></ul>Data Engineering &amp; Platforms
<ul><li>Build and maintain scalable, reusable data pipelines on Databricks using PySpark/Spark, SQL, Delta Lake, and Unity Catalog
</li><li>Support ingestion, modelling, and transformation of large‑scale time‑series pricing and fundamentals datasets
</li><li>Optimize pipelines for performance, reliability, and cost efficiency, following platform and data governance standards
</li></ul>AI, GenAI &amp; Agentic Solutions
<ul><li>Build and enhance GenAI and agent‑based solutions to support trading analytics, including:
<ul><li>Retrieval‑Augmented Generation (RAG)
</li><li>Prompt engineering
</li><li>Agent orchestration using frameworks such as LangGraph
</li><li>Tool calling and guardrails
</li></ul></li><li>Integrate LLM‑based workflows with structured trading and market data to augment analysis, insight generation, and decision support
</li><li>Prototype solutions quickly, gather user feedback, and help harden selected use cases for production deployment
</li></ul>Production, Quality &amp; Operations
<ul><li>Contribute to production‑ready analytics and AI solutions with testing, documentation, versioning, and basic observability
</li><li>Follow established CI/CD and DevOps practices, including use of Git‑based workflows and automated testing
</li><li>Support governance requirements such as PII handling, data lineage, and auditability in line with Trading &amp; Supply standards
</li></ul>What you bring
<ul><li>Must have legal authorization to work in the US on a full-time basis for anyone other than current employer
</li><li>Bachelor&rsquo;s degree or equivalent relevant years of experience
</li><li>At least 7 years of relevant experience
</li><li>Hands‑on experience with Databricks and/or Spark (PySpark, SQL, Delta Lake; Unity Catalog desirable)
</li><li>Proven data engineering skills, including pipeline development, data modelling, and performance optimization
</li><li>Solid foundation in statistics, econometrics, or data science, with experience applying these techniques to time‑series or market‑style datasets
</li><li>Practical experience building or contributing to LLM‑based solutions, including prompt engineering and retrieval‑based approaches
</li><li>Familiarity with GenAI frameworks and tooling (e.g., LangGraph or similar orchestration patterns)
</li><li>Experience working in collaborative engineering teams using Git and CI/CD pipelines
</li><li>Strong communication skills and the ability to work directly with analysts, traders, and other business stakeholders
</li></ul>Additional Preferred Qualifications
<ul><li>Exposure to commodity or financial trading environments
</li><li>Understanding of market fundamentals, supply‑demand dynamics, or risk concepts
</li><li>Experience with MLflow, feature stores, or vector databases
</li><li>Familiarity with working in regulated or risk‑sensitive environments
</li></ul>What we offer
The base salary range for this position is $149,000 - $223,000 per year . Individual pay will be based on various factors, such as relevant work experience, education, certifications, skill level, seniority, and internal equity.
For regular full-time or regular part-time employees of the Company (participating companies as listed in the Summary Plan Description), insurance coverage options include medical, dental, vision coverage, life Insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs. Employees also participate in a company pension plan and a 401(k) plan. Paid leave includes up to 6 weeks of paid vacation time, up to 11 paid holidays, and parental leave offering 16 weeks of paid leave for birthing parents, and 8 weeks of paid leave for non-birthing parents.
Additionally, employees are eligible for short-term disability leave for up to 26 weeks at 100% or 50% of base pay as well as Long-Term Disability insurance. Shell also offers other compensation such financial reimbursement for adoption, wellness, education, and personal learning expenses, and some roles are eligible for discretionary long-term incentives. For interns, eligible benefits include medical, dental, and vision coverage, life insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs; participation in a 401(k) plan; and paid leave for up to 11 paid holidays. Additional information on Shell&rsquo;s US benefit programs can be found at https://www.shell.us/careers/about-careers-at-shell/rewards-and-benefits.html .
You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You&rsquo;ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You&rsquo;ll be able to balance your priorities as you become the best version of yourself.
<ul><li>Progress as a person as we work on the energy transition together
</li><li>Continuously grow the transferable skills you need to get ahead
</li><li>Work at the forefront of technology, trends, and practices
</li><li>Collaborate with experienced colleagues with unique expertise
</li><li>Achieve your balance in a values-led culture that encourages you to be the best version of yourself
</li><li>Benefit from flexible working hours, and the possibility of remote/mobile working
</li><li>Perform at your best with a competitive starting salary and annual performance related salary increase &ndash; our pay and benefits packages are considered to be among the best in the world.
</li><li>Take advantage of paid parental leave, including for non-birthing parents
</li><li>Join an organization working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply
</li><li>Grow as you progress through diverse career opportunities in national and international teams
</li><li>Gain access to a wide range of training and development programs
</li></ul>We'd like you to know that Shell has a bold goal: to become one of the world&rsquo;s most diverse and inclusive companies. .
Shell in The United States
Shell has been in the US for more than 100 years, leading the sector in energy, petrochemicals and refined products. Today, we provide millions of Americans with the energy needed to heat and cool their homes and power the economy.
We operate in all 50 states, from our Deepwater platforms in the Gulf of America to the Pennsylvania Chemicals complex and our miles of pipelines throughout the US.
We reach our customers through our 13,000 branded retail stations, and we are number 1 in gasoline sales. We also own the #1 brand of motor oil in the U.S. &ndash; Pennzoil&reg; &ndash; made from natural gas.
We are excited to play a key role in the move to net carbon emissions while providing the oil and gas needed by society for many decades to come.
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DISCLAIMER:
Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell participates in E-Verify. All qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, protected veteran status, citizenship, genetic information or other protected status under federal, state or local laws. Shell is an Equal Opportunity Employer - Minorities/Females/Veterans/Disability. As a US Federal Contractor, hiring selections are subject to periodic audit review and documentation of your selections should be maintained for a period of three calendar years. It is the policy of Shell in the U.S. (&ldquo;Shell&rdquo;) to provide equal opportunity to all individuals, employees and all qualified applicants for employment consistent with employment requirements and qualifications. Shell prohibits discrimination based on race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, veteran status, citizenship, genetic information, or other protected status under federal, state or local laws. All employees are expected to support this policy and contribute to an environment of equal opportunity. If you need an accommodation for a disability during the resourcing process, please speak with an HR representative.</div>

Sr. AI & Data Engineer–Trading Analytics

Chevron

<div>Total Number of Openings
1
Chevron is accepting online applications for the role of Senior Finance Analyst - AI &amp; ML, through June 26, 2026, 11:59pm Central time.
The Senior Finance Analyst - AI &amp; ML is a role sitting at the intersection of rigorous quantitative finance and frontier machine learning. You will architect and deploy production-grade AI &amp; ML systems that materially shape capital allocation decisions, financial forecasting, and risk modeling across the organization. This is not a support function - you will own the full analytical lifecycle, from problem formulation to model deployment, and your work will be directly visible to senior leadership. This role will be based in Houston, TX. We are looking for candidates who possess a rare blend of deep theoretical knowledge and battle-tested engineering skills.
Responsibilities include, but are not limited to, the following:<ul><li>
Design, build, and own advanced machine learning and statistical models that directly inform corporate financial planning, capital allocation, and strategic risk assessment.</li><li>
Develop predictive and generative AI systems for financial forecasting, scenario analysis, anomaly detection, and portfolio optimization.</li><li>
Translate complex, ambiguous business problems into mathematically rigorous AI/ML solutions with clear, quantifiable impact.</li><li>
Build and maintain production-ready ML pipelines &mdash; from data ingestion and feature engineering through model training, validation, deployment, and monitoring.</li><li>
Partner with finance leadership, data engineering, and technology teams to integrate AI/ML outputs directly into decision-making workflows.</li><li>
Establish and champion model governance practices, including interpretability, bias assessment, and auditability frameworks appropriate for regulated financial environments.</li><li>
Continuously evaluate and adopt frontier AI/ML methodologies &mdash; large language models, time-series forecasting, causal inference, reinforcement learning &mdash; where applicable to finance.</li><li>
Mentor junior analysts and contribute to building a rigorous, intellectually demanding team culture.</li></ul> 
Required Qualifications:<ul><li>
Education: Bachelor&rsquo;s degree in Mathematics, Statistics, Physics, Computer Science, Data Science, Quantitative Finance, or another highly quantitative discipline. Master&rsquo;s or PhD strongly preferred.</li><li>
Experience: 5&ndash;7+ years building and deploying advanced AI/ML solutions in production environments. Demonstrated success applying deep technical expertise in mathematical, statistical, engineering, or finance domains.</li><li>
Proven track record of owning complex end-to-end ML projects from ideation to measurable business impact.</li><li>
Mastery of core and advanced techniques: Python (expert), PyTorch/TensorFlow/JAX, SQL, probabilistic programming (e.g., Pyro, Stan), causal inference, time-series analysis (including modern state-space and transformer-based models), optimization (linear/non-linear, stochastic), and large-scale data engineering.</li><li>
Deep understanding of corporate finance principles (or the ability to learn them at exceptional speed) combined with the ability to challenge conventional financial thinking with data-driven rigor.</li><li>
Exceptional communication skills &ndash; you can explain sophisticated models to CFOs and Boards while maintaining technical depth with peers.</li></ul> 
Relocation will be considered.
Expatriate assignments will not be considered.
Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.
U.S. Regulatory notice:
Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability, medical condition, reproductive health decision-making, military or veteran status, political preference, marital status, citizenship, genetic information or other characteristics protected by applicable law.
We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please email us at emplymnt@chevron.com.
Chevron participates in E-Verify in certain locations as required by law.</div>

Finance AI & ML Senior Analyst

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