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assistant professor - artificial intelligence and data scientist

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

assistant professor - artificial intelligence and data scientist Jobs in Houston

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lead data scientist, data & analytics

lead data scientist data analytics

Motiva Enterprises LLC

<div>At Motiva, our employees&rsquo; energy, passion, and dedication to excellence are what make us who we are and what allows us to generate energy that makes a house a home, gets us from point A to point B, and enables our health and wellbeing. We invest in every aspect of our employees&rsquo; lives because, at Motiva, our people matter.
Headquartered in Houston, Texas, Motiva refines, distributes and markets petroleum products throughout the Americas. The company&rsquo;s Port Arthur Manufacturing Complex in Port Arthur, TX, is comprised of North America&rsquo;s largest refinery with a total throughput of 720,000 barrels per day, the largest base oil plant in the western hemisphere, and an integrated chemical plant. Under exclusive long-term brand licenses with Shell and Phillips 66 (for the 76&reg; brand), Motiva&rsquo;s commercial operations supply more than 12 billion gallons of fuel to customers annually. Motiva is wholly owned by Aramco, one of the world&rsquo;s largest integrated energy and chemicals companies.
Position Overview:
We are seeking a highly skilled Lead Data Scientist, Data &amp; Analytics with deep expertise in enterprise data modeling, data warehousing, and analytics platform engineering. This role will be responsible for designing, building, and optimizing scalable data solutions that support enterprise reporting, advanced analytics, and AI initiatives. The ideal candidate combines strong data engineering capabilities with extensive experience in logical and physical data modeling, dimensional modeling, and schema optimization. This individual will play a key role in establishing trusted, high-performance data foundations that enable reporting, self-service analytics, and AI-driven decision-making across the organization.
This role is a Houston-based, in-office position at Motiva&rsquo;s corporate headquarters in downtown Houston, TX.
Responsibilities<ul><li>
Design and maintain conceptual, logical, and physical data models, including Entity Relationship Diagrams (ERDs), to support enterprise data initiatives.</li><li>
Lead the design and implementation of scalable dimensional models using Star and Snowflake schemas for reporting and analytics workloads.</li><li>
Design new data schemas and optimize existing schemas to improve performance, scalability, and usability for high-volume reporting and analytical applications.</li><li>
Establish and enforce data modeling standards, naming conventions, and best practices across the enterprise.</li><li>
Build, maintain, and optimize data pipelines using Databricks, Azure Data Factory, Databricks Lakeflow Designer.</li><li>
Optimize query performance, and storage patterns to support large-scale reporting, analytics, and AI workloads.</li><li>
Support the design of semantic layers and analytical data structures that enable enterprise KPI reporting and executive dashboards.</li></ul>
Experience and Qualifications:
Required Education and Experience:
<ul><li>Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.</li><li>
10+ years of experience in Data Engineering, Data Warehousing, Data Architecture, or related disciplines with Medallion Architecture (Bronze, Silver, Gold).</li><li>
Extensive experience creating Logical Data Models (LDMs), Physical Data Models (PDMs), and Entity Relationship Diagrams (ERDs).</li><li>
Strong hands-on experience designing and implementing dimensional models, including Star Schema and Snowflake Schema architectures.</li><li>
Hands-on experience with Databricks, Apache Spark, Delta Lake, and modern Lakehouse architectures building scalable ETL/ELT data pipelines in cloud-based environments.</li><li>
Strong understanding of data warehousing principles, metadata management, and data quality frameworks.</li><li>
Experience working with large-scale enterprise datasets and complex business processes.</li></ul>
Preferred Education and Experience:
<ul><li>Experience supporting AI, machine learning, and advanced analytics use cases.</li><li>
Familiarity with Power BI, or other enterprise business intelligence tools.</li><li>
Experience implementing data governance, master data management (MDM), and data quality programs.</li><li>
Experience in downstream energy, supply chain, manufacturing, logistics, or other asset-intensive industries.</li></ul>
We reserve the right to amend or withdraw Motiva jobs at any time, including prior to the closing date. Depending on qualifications, the successful candidate may be offered a position at a more appropriate level and/or grade.
Applicants for regular U.S. positions must be authorized to work in the United States for Motiva Enterprises LLC without the need for sponsorship of an immigration authorization or visa (for example, TN, H-1B, or other employment-based immigration authorization or visa).
Motiva 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.</div>

Lead Data Scientist, Data & Analytics

Baylor College of Medicine

<div><div><div><div><h2 class="jobSectionHeader">Summary</h2></div><div>
The Michael E. DeBakey Department of Surgery at the Baylor College of Medicine (BCM) seeks a highly qualified individual with a PhD and postdoctoral experience in Computer Science, Data Science, Medical Informatics or Equivalent Field. The Assistant Professor &ndash; Data Scientist would serve as scientific lead with Dr. Ravi Ghanta, overseeing the Department of Surgery ATLAS AI program to develop innovative AI applications in surgery and healthcare. The work spans AI applications in healthcare including machine vision, robotics, image analysis, natural language processing, and predictive modeling. 
Under this role, the Assistant Professor will work with a team of post-doctoral computer scientists and engineers on NIH-funded research projects. The Assistant Professor is expected to oversee data engineering of electronic health data for machine learning applications, interoperability with electronic health record (EHR) systems, and evaluation of algorithm predictive performance. The Assistant Professor will interact directly with postdoctoral fellows, graduate students, and medical students.</div></div><div><div><h2 class="jobSectionHeader">
Job Duties</h2></div><div><ul><li>
Oversee and coordinate logistics and execution of various research projects.</li><li>
Manage project progress and execution of project goals and milestones.</li><li>
Plan and direct research experiments.</li><li>
Organize, evaluate, and analyze data with other researchers.</li><li>
Develop research techniques and perform applications required for specific research projects.</li><li>
Conduct literature searches and summarize information in an appropriate format for a particular study.</li><li>
Document results of experiments and reports to principal investigators.</li><li>
Supervise, schedule and coordinate the activities of the research team involved in multiple research projects.</li><li>
Write progress reports, manuscripts and grant proposals.</li><li>
Lead clinical studies and participate in research involving human subjects. Interact directly with clinicians, surgeons, and pathologists to fulfill the aims of the research projects.</li><li>
Supervise research staff including graduate and undergraduate students.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Minimum Qualifications</h2></div><div><ul><li>
Ph.D. in computer science, data science, medical informatics, or related field.</li><li>
Successful track record of collaboration with clinical investigators and in interdisciplinary teams; accomplished academic record sufficient to fulfill criteria for an assistant professor level faculty appointment at Baylor College of Medicine.</li></ul></div></div></div> 
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.</div>

Assistant Professor - Artificial Intelligence and Data Scientist

Capital One

<div>Business Manager - PULSE Risk &amp; Compliance
Summary:
We are seeking a highly analytical Business Manager to join our Data Strategy team. In this role as a Business Manager, you will help build the framework and manipulate/analyze large datasets to understand PULSE transaction anomalies and risk exposure. This is a hybrid role designed for someone who speaks the language of machine learning, data architecture, and modeling, but also deeply understands regulatory frameworks, risk controls, and compliance mandates.
You will be responsible for ensuring that our data-driven strategies are not only highly effective and scalable, but also ethical, explainable, and strictly compliant with industry regulations. If you are a recovering data scientist who loves policy, or a risk and compliance manager who writes Python on the weekends, this is the role for you. 
General Responsibilities:
<ul><li>Design and implement a program for Transaction Monitoring aligned with Risk identification and modification. Build automated risk programs, isolate compromised data elements, and ensure the operational health and integrity of the PULSE network.</li><li>
The &quot;Translator&quot;: Act as the primary liaison between highly technical teams (Data Engineers, Data Scientists) and non-technical stakeholders (Legal, Compliance, Executive Board).</li><li>
Risk Data Architecture: Partner with Data Engineering to design and optimize the architecture of risk data environments. Ensure data used for risk decisioning is accurate, accessible, and structured for advanced analytics.</li><li>
Strategic Advising: Advise product and business teams on the risk implications of new data strategies, alternative data sources, and emerging technologies The payment ecosystem is constantly evolving, this role requires a unique blend of deep technical expertise, payment network knowledge, and sharp critical thinking to separate signal from noise. What you&rsquo;ll do:</li><li>
Drive current and future strategy by leveraging your analytical skills</li><li>
Data-Driven Investigations: Conduct root-cause analyses on transactions and translating complex data findings into actionable risk mitigation strategies.</li><li>
Data Analytics: Advanced SQL, Python, Splunk, and data visualization for parsing high-volume transaction logs.</li><li>
Executive Reporting: Synthesize highly technical data into clear, compelling narratives and present risk exposure, incident reports, and strategic recommendations to senior leadership.</li><li>
Critical Thinking &amp; Problem Solving: Proven ability to approach complex, ambiguous problems systematically. You must be able to deconstruct issues, challenge the status quo, and anticipate the downstream impacts of network changes.</li></ul>
On any given day you will be:<ul><li>
Working with large and complex databases containing millions to billions of records</li><li>
Mining data to arrive at specific and crucial information for the organization</li><li>
Identifying and implementing process, data, and reporting improvements for the organization</li><li>
Conducting analysis to evaluate processes and tests An ideal candidate will possess strong problem solving and conceptual thinking abilities. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams.</li></ul> 
Basic Qualifications:
<ul><li>At least 3 years of professional experience performing analysis</li><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software engineering, Mechanical engineering, Information Systems or a related quantitative field)</li><li>
A Master's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration</li></ul></li></ul>
Preferred Qualifications:
<ul><li>Master&rsquo;s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering</li></ul><ul><li>
5+ years of experience in analysis</li><li>
2+ years of experience in financial services</li><li>
1+ year of experience in consulting</li><li>
2+ years of experience in people management</li></ul> 
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Houston, TX: $149,800 - $171,000 for Business Manager 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Business Manager - PULSE Risk & Compliance

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)

VoltaGrid, LLC

<div>Position Title: Manager Asset Inventory Operations 
Location: HOUSTON TX 
FLSA Class: EXEMPT 
Responsible to: Senior Manager Asset Operations

Position Summary: The Manager, Asset Inventory Operations is responsible for maintaining enterprise-wide visibility, accuracy, and accountability for all operational assets throughout their lifecycle. This role oversees inventory reporting, asset tracking initiatives, compliance processes, and operational reporting to ensure reliable asset data across the organization. As the asset fleet continues to grow, this position will serve as the central owner of inventory integrity, lifecycle management, and accountability programs while developing scalable processes and reporting structures. Over time, this role is expected to lead the Asset Coordinator and Asset Compliance &amp; Audit Specialist functions.

Essential Duties &amp; Responsibilities:

Asset Inventory Management
<ul>
<li>Maintain ownership of asset inventory accuracy across all operational locations.</li>
<li>Develop and manage processes for asset lifecycle status tracking and reporting.</li>
<li>Ensure accurate asset records from acquisition through deployment, redeployment, and retirement.</li>
<li>Investigate and resolve inventory discrepancies and data integrity issues.</li>
</ul>
Asset Tracking &amp; Visibility
<ul>
<li>Lead asset movement tracking initiatives and escalation processes.</li>
<li>Oversee GPS tracking systems and asset location visibility programs.</li>
<li>Coordinate with field operations, logistics, and deployment teams to maintain current asset status 
information.</li>
<li>Drive continuous improvement efforts for asset tracking technologies and processes.</li>
</ul>
Reporting &amp; Analytics
<ul>
<li>Develop and maintain inventory dashboards, KPIs, and operational reports.</li>
<li>Provide leadership with accurate asset utilization, deployment, and lifecycle reporting.</li>
<li>Identify trends, risks, and opportunities through data analysis.</li>
<li>Support forecasting and operational planning activities.</li>
</ul>
Compliance &amp; Accountability
<ul>
<li>Establish accountability standards for asset management and reporting.</li>
<li>Coordinate asset audit programs and inventory verification initiatives.</li>
<li>Support investigations related to missing, misplaced, or unaccounted-for assets.</li>
<li>Ensure compliance with internal asset management policies and procedures.</li>
</ul>
Leadership &amp; Process Development
<ul>
<li>Manage and mentor inventory and compliance personnel as the team grows.</li>
<li>Develop scalable inventory management processes and controls.</li>
<li>Partner with operations, finance, procurement, and field teams to improve asset accountability.</li>
<li>Lead inventory-related continuous improvement initiatives.</li>
</ul>
Other Requirements:
<ul><li>Bachelor's degree in Supply Chain, Business, Operations Management, Logistics, or related field; 
equivalent experience considered.</li>
<li>5+ years of inventory management, asset management, logistics, or operations experience.</li>
<li>Experience developing operational reporting and KPI programs.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Advanced proficiency with Excel and inventory management systems</li>
</ul>
Preferred Qualifications:
<ul><li>Experience managing large fleets of industrial, energy, or operational assets.</li>
<li>Knowledge of GPS tracking platforms and asset management software.</li>
<li>Leadership or supervisory experience.</li>
<li>Experience with ERP systems and data analytics tool</li>
</ul>
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

VoltaGrid is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, disability or handicap, sex, marital status, veteran status, sexual orientation, genetic information, arrest record, or any other characteristic protected by applicable federal, state or local laws.

Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, and general treatment during employment. #GC
Equal Opportunity Employer 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</div>

Manager Asset Inventory Operations

Zeppelin Konzern

ABOUT ZEPPELIN SYSTEMS USAZeppelin Systems USA is a leading provider of bulk material handling systems and solutions for industrial, chemical, plastics, and food processing sectors. Part of the global Zeppelin Group, our Houston-based team designs and delivers complex, custom-engineered projects across North America. Supply chain is a strategic driver of project performance, cost competitiveness, and on-time delivery.ABOUT THE POSITIONThe Project Procurement Specialist is a strategic individual contributor at the core of the Supply Chain Management organization and a trusted partner to the Project Execution Team. This role leads procurement from sales engagement through logistics closeout &mdash; owning supplier strategy, commercial negotiation, and supply performance across a dynamic project portfolio. The ideal candidate brings equal command of tactical precision, technical commodity knowledge, strategic supplier thinking, and data-driven execution.TACTICAL: Precision execution across the full procurement cycleTECHNICAL: Deep commodity fluency in BMH systems and componentsSTRATEGIC: Supplier strategy, SRM, and commercial leadershipDATA DRIVEN: Analytics-led decisions, reporting, and process improvementKEY RESPONSIBILITIES1. End-to-End Procurement Ownership▪ Own the full procurement lifecycle for assigned projects &mdash; from scope review and supplier selection through PO execution, expediting, and logistics closeout, coordinating across Project Management, Engineering, and Logistics.▪ Hard Skills: RFQ Development, SAP PO Administration▪ Soft Skill: Ownership Mentality2. Commodity Procurement &ndash; Bulk Material Handling▪ Source and procure across core BMH categories &mdash; conveying systems, dust collection, structural fabrications, electrical and instrumentation, and mechanical equipment &mdash; evaluating supplier proposals for technical scope conformance.▪ Hard Skills: Technical Bid Evaluation, Vendor Pre-Qualification▪ Soft Skill: Technical Credibility3. Commercial Negotiation▪ Negotiate pricing, delivery, payment, Incoterms, and warranty terms with suppliers across the project portfolio, administering purchase orders through execution and closeout in SAP.▪ Hard Skills: Commercial Term Negotiation, Contract Administration▪ Soft Skill: Composure Under Pressure4. Supplier Relationship Management▪ Maintain active supplier performance visibility across the project portfolio &mdash; tracking OTD, PO accuracy, and quality &mdash; and lead corrective action where performance is at risk.▪ Hard Skills: Supplier Scorecarding, Performance Escalation Management▪ Soft Skill: Accountability-Driven Relationship Building5. Data Analytics and Procurement Reporting▪ Build and maintain procurement analytics across the project portfolio &mdash; spend visibility, OTD performance, open commitments, and cost variance &mdash; delivering structured reporting for project teams and SCM leadership.▪ Hard Skills: Advanced Excel (Pivot Tables, Dashboards), SAP Data Extraction▪ Soft Skill: Decision-Ready Communication6. Logistics Coordination▪ Coordinate inbound logistics for project materials &mdash; managing freight mode selection, delivery scheduling, and import/export documentation to align material arrivals with project execution windows.▪ Hard Skills: Inbound Freight Management, Trade Documentation▪ Soft Skill: Proactive Risk Identification7. Cross-Functional Collaboration▪ Participate actively in project planning sessions and schedule reviews with Sales, Engineering, Project Management, and Finance, positioning SCM as a strategic partner across the project lifecycle.▪ Hard Skills: Stakeholder Alignment, SAP Workflow Coordination▪ Soft Skill: Professional Influence8. Process Improvement▪ Identify and drive procurement process improvements &mdash; SAP workflow, supplier onboarding, and data quality &mdash; aligned to the SCM Target Operating Model and organizational efficiency goals.▪ Hard Skills: Process Mapping, SAP SCM Optimization▪ Soft Skill: Continuous Improvement MindsetKEY QUALIFICATIONS▪ Business Acumen: 5&ndash;8 years of procurement or supply chain experience in an industrial or project-based environment with demonstrated understanding of scope management, cost tracking, and commercial risk.▪ Data Analytics: Advanced Excel proficiency &mdash; pivot tables, dashboards, spend and OTD analysis &mdash; with ability to structure procurement data into decision-quality outputs for project and leadership stakeholders.▪ SAP Proficiency: Proficient in SAP SCM modules &mdash; Procurement (MM) and Logistics &mdash; including PO creation, GR/IR processing, vendor master management, and operational data extraction.▪ Cross-Functional Collaboration: Proven ability to operate across Project Management, Engineering, Finance, and Logistics &mdash; translating requirements into procurement scope and aligning supply timelines to execution.▪ Supplier Relationship Management: Hands-on experience managing supplier portfolios across technical commodity categories &mdash; performance monitoring, escalation handling, and commercial relationship development.▪ Technical Commodity Knowledge: Working knowledge of bulk material handling systems and components sufficient to evaluate supplier proposals for technical scope conformance.▪ Negotiation: Demonstrated ability to negotiate pricing, delivery, Incoterms, payment, and warranty terms across varying spend levels and complexity.▪ Education: Bachelor&rsquo;s degree in supply chain management, Business, Engineering, or a related field. Equivalent combination of education and directly relevant procurement experience considered.Pay: From $80,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible schedule</li><li>Flexible spending account</li><li>Life insurance</li><li>Paid time off</li><li>Retirement plan</li><li>Vision insurance</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Supply chain: 5 years (Required)</li></ul>Work Location: In person

Project Procument Specialist

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.
<ul><li>- 
</li></ul> 
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

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