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data scientist drilling global energy tech company

Andiamo

<div>
 Senior Machine Learning Scientist, Foundation Models for Time Series and Sensors
 <br/>
 <br/>
 We are looking for a Machine Learning Scientist who is excited by the challenge of teaching machines to understand the physical world through data. This role focuses on building large scale foundation models that learn deep representations from time series, sequential sensor streams, and other complex signals, with direct application to industrial, scientific, and real world systems.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 In this position, you will design, train, and deploy self supervised and semi supervised learning systems that operate across time series, sensor data, vision, and text. Your work will enable advanced capabilities such as anomaly and event detection, predictive maintenance, forecasting, classification, and sensor fusion. You will help define the next generation of intelligent systems that operate reliably in noisy, high consequence environments.
 <br/>
 <br/>
 What You Will Work On
 <br/>
 <br/>
 <ul>
  <li>
   Develop large scale foundation models that learn transferable representations from sequential and sensor based data
  </li>
  <li>
   Apply self supervised learning techniques to unlock value from unlabeled and weakly labeled datasets
  </li>
  <li>
   Fine tune and adapt pretrained models for specialized downstream tasks across industrial and scientific domains
  </li>
  <li>
   Design systems that combine time series, images, audio, text, and structured data into unified learning architectures
  </li>
  <li>
   Collaborate with domain experts to ensure models align with real world constraints and objectives
   <br/>
   <br/>
  </li>
 </ul>
 Data and Signal Processing Expertise
 <br/>
 <br/>
 <ul>
  <li>
   Process and analyze univariate and multivariate time series from domains such as industrial systems, IoT, finance, healthcare, or scientific instrumentation
  </li>
  <li>
   Perform data augmentation, feature extraction, resampling, and noise handling for real world sensor streams
  </li>
  <li>
   Work with diverse sensor modalities including vibration, temperature, accelerometers, audio, imagery, and more
  </li>
  <li>
   Handle synchronization challenges, variable sampling rates, and imperfect data collected in operational environments
   <br/>
   <br/>
  </li>
 </ul>
 Machine Learning and Model Development
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 <br/>
 <ul>
  <li>
   Build models using sequence focused architectures such as recurrent networks, temporal convolutional networks, and transformer based systems
  </li>
  <li>
   Apply contrastive learning, masked prediction, temporal forecasting objectives, and multimodal alignment techniques
  </li>
  <li>
   Leverage transfer learning, adapter based methods, and few shot strategies for efficient adaptation
  </li>
  <li>
   Evaluate models using both technical metrics and end user or business driven performance indicators
   <br/>
   <br/>
  </li>
 </ul>
 Software and Training Infrastructure
 <br/>
 <br/>
 <ul>
  <li>
   Develop high performance pipelines in Python using scientific and data libraries
  </li>
  <li>
   Optimize components with C++ or CUDA when needed for large scale preprocessing or training
  </li>
  <li>
   Train models using modern deep learning frameworks such as PyTorch, TensorFlow, or JAX
  </li>
  <li>
   Scale training across multiple GPUs and nodes using distributed and mixed precision techniques
  </li>
  <li>
   Build reliable data pipelines for ingesting, cleaning, segmenting, and aligning massive sensor datasets
   <br/>
   <br/>
  </li>
 </ul>
 Mathematical and Algorithmic Foundations
 <br/>
 <br/>
 <ul>
  <li>
   Strong grounding in linear algebra, probability, statistics, and optimization
  </li>
  <li>
   Experience with signal processing methods such as Fourier analysis, wavelets, filtering, and time frequency techniques
  </li>
  <li>
   Familiarity with numerical methods for modeling dynamic systems and solving inverse problems
   <br/>
   <br/>
  </li>
 </ul>
 Collaboration and Communication
 <br/>
 <br/>
 <ul>
  <li>
   Work closely with engineers, researchers, product leaders, and end users from technical and non technical backgrounds
  </li>
  <li>
   Clearly explain model behavior, uncertainty, and tradeoffs to diverse audiences
  </li>
  <li>
   Contribute to documentation, design discussions, and technical decision making
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   MS or PhD in Computer Science, Artificial Intelligence, Data Science, or a closely related field
  </li>
  <li>
   Three or more years of hands on experience in machine learning, data science, or applied AI
   <br/>
   <br/>
  </li>
 </ul>
 This role offers the opportunity to work at the frontier of foundation models for time series and sensor data, solving problems that matter in the physical world and shaping systems that operate at scale in complex, real environments.
 <br/>
 <br/>
 <strong>
  About Andiamo
  <br/>
  <br/>
 </strong>
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 <br/>
 <br/>
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 <br/>
 <br/>
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>


Data Scientist - Drilling - Global Energy Tech Company

Nabors Industries

<div><p>Rigline24/7 RigCloud Supervisor oversees daily operation of technical support experts. Experience with drilling rig operations and equipment is essential. The ability to gather information, audit cases, develop KPIs and maintain training programs. The supervisor is expected to be front line contact for all customer service related issues and participate in root cause analysis. Supervisor will ensure technicians manage issues from beginning to end, working with product teams, until resolution.</p></div>
<br><div><p>MINIMUM QUALIFICATIONS:
</p><ul><li>High school diploma or equivalent
</li><li>2&ndash;3 years of experience in a related role within RigCLOUD operations, preferably in a supervisory or managerial capacity
</li><li>2-5 years of experience as a field technician or remote support technician
</li><li>Ability to create/update/implement RIGLINE processes to ensure high performance
</li><li>Strong documentation skills
</li><li>Ability to diagnose root cause, document findings and provide potential solutions, both temporary and permanent.
</li><li>Excellent customer service skills
</li><li>Excellent written and verbal communication skills.
</li><li>Capable of quickly learning proprietary equipment and procedures and able to follow complex technical documentation.<br>
</li></ul><p>PREFERRED QUALIFICATIONS:
</p><ul><li>Experience managing small teams
</li><li>Extensive experience in the drilling industry, with a strong emphasis on technological drilling solutions and innovations
</li><li>General knowledge of Nabors products and services<br>
</li></ul><p>ESSENTIAL SKILLS/ PHYSICAL REQUIREMENTS/ WORKING CONDITIONS:
</p><ul><li>Ability to manage multiple high-priority issues and ensure issues are resolved in a timely manner
</li><li>Ability to (if required) be available during weekends/holidays to support the operations</li></ul></div>
<br><div><ul><li>Manage the RigCLOUD Team to ensure quality customer service and faster resolution of issues with all RigCLOUD products and equipment.
</li><li>Proactive management of RigCLOUD issues to reduce product downtime and optimize rig operations
</li><li>Ensure timely response to rig-related issues and maintain clear, effective communication between rig personnel and the leadership team
</li><li>Active supervision of on-shift personnel of varying skillsets and delegate tasks as required
</li><li>Facilitate escalation and management of critical issues
</li><li>Document and update processes, definitions and support initiatives using Visio, Word, Excel and PowerPoint as applicable
</li><li>Monitor phone Service Levels, technician utilization and propose resource requirements, process updates etc.
</li><li>Ensure KPIs are set and achieved for RIGLINE (Metrics, performance targets etc.)
</li><li>Work in close cooperation with RigCLOUD product teams and RIGLINE team members</li></ul></div>
<br><div>Nabors is a leading provider of advanced technology for the energy industry. With operations in about 20 countries, Nabors has established a global network of people, technology and equipment to deploy solutions that deliver safe, efficient and responsible hydrocarbon production. By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a lower carbon world.<br>
<div></div><br>
<div><b>Equal Opportunity Employer<br>
</b></div><div></div><br>
<div>Nabors is committed to providing equal employment opportunities to all employees and applicants and prohibiting discrimination and harassment of any type without regard to race, religion, age, color, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.&amp;nbsp; This applies to all terms and conditions of employment including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training.&amp;nbsp; To learn more about our Fair Employment practices, please refer to the Nabors Code of Conduct .</div></div>

RigCLOUD Technical Operations Supervisor- RIGLINE

Quest Diagnostics

<div><p><b>Medical Laboratory Scientist I - Houston, TX, Monday to Friday, 5:00 AM to 1:30 PM</b></p>
<p>
Are you intrigued by the science of the human body? Curious about state-of-the-art laboratory instrumentation? Looking to join a Fortune 500 company leading the world in providing diagnostic information services? Quest Diagnostics is now recruiting for technologist positions ranging from entry level to experienced, with a wide range of benefits and training!</p><br>
<p></p>
<p><b>
Pay range: $29.50+ per hour</b></p>
<p>
Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation.</p><br>
<p></p>
<p><b>
Benefits information:</b><br>
We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects &ndash; physical, financial, and developmental. Depending on whether it is a part-time or full-time position, some of the benefits offered may include:</p>
<ul>
<li>Day 1 Medical, supplemental health, dental &amp; vision for FT employees who work 30+ hours</li>
<li>Best-in-class well-being programs</li>
<li>Annual, no-cost health assessment program Blueprint for Wellness&reg;</li>
<li>healthyMINDS mental health program</li>
<li>Vacation and Health/Flex Time</li>
<li>6 Holidays plus 1 &quot;MyDay&quot; off</li>
<li>FinFit financial coaching and services</li>
<li>401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service</li>
<li>Employee stock purchase plan</li>
<li>Life and disability insurance, plus buy-up option</li>
<li>Flexible Spending Accounts</li>
<li>Annual incentive plans</li>
<li>Matching gifts program</li>
<li>Education assistance through MyQuest for Education</li>
<li>Career advancement opportunities</li>
<li>and so much more!</li>
</ul><div><div><div><div>Quest Diagnostics honors our service members and encourages veterans to apply.<br>
<br>
While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.<br>
<br>
Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.</div>
</div><br>
</div></div><p><b>Job Responsibilities:</b></p><br>
<p></p>
<ul>
<li>Follow the laboratory's procedures for specimen handling and processing, test analyses, reporting and maintaining records of patient test result.</li>
<li>Maintain records that demonstrate that proficiency testing samples are tested in the same manner as patient specimens.</li>
<li>Analyze specimens using approved testing procedures.</li>
<li>Review and release test results.</li>
<li>Follow CLIA, HIPAA, OSHA, and safety guidelines as described in their respective guidelines.</li>
<li>Follow the laboratory's established policies and procedures whenever test systems are not within the laboratory's established acceptable levels of performance.</li>
<li>Identify problems that may adversely affect test performance or reporting of test results, correct the problems encountered or immediately notify the senior technologist or supervisor.</li>
</ul><p><b>
Education:</b></p><p><br>
BS in Medical Technology preferred; or BS/BA in Chemistry or Biology, or Associates degree in a Laboratory Science or Medical Technology, or Previously qualified as a Technologist under 42 CFR 493</p><br>
<p></p>
<p><b>
Work Experience:</b><br>
</p><p>1 year Clinical experience (high complexity testing) preferred.</p><br>
<p></p>
<p>
MLS, Medical Laboratory Scientist, Medical Lab Scientist, Med Tech, Medical Technologist, CLS, Clinical Lab Scientist</p></div>

Medical Laboratory Scientist I

Crescent Energy

<div><p>Crescent is a differentiated U.S. energy company committed to delivering value through a disciplined, returns-driven growth through acquisition strategy and consistent return of capital. Our long-life, balanced portfolio combines stable cash flows from low-decline production with a deep, high-quality development inventory.
</p><p></p><p>Crescent is a top three producer (by gross operated production) in the Eagle Ford basin. Crescent&rsquo;s leadership is an experienced team of investment, financial and industry professionals that combines proven investment and operating expertise . For more than a decade, Crescent and our predecessors have executed on a consistent strategy focused on cash flow, risk management and returns. Through disciplined and accretive investments, we have successfully tripled the size of our company since going public in December 2021 while maintaining a strong balance sheet.
</p><p></p><p>The <b>Sr. Data Engineer- Upstream Oil &amp; Gas </b>is responsible for designing, building, and operating scalable, reliable, and secure data pipelines that support enterprise analytics, reporting, and advanced data use cases. This role is critical to enabling data-driven decision-making by ensuring trusted, high-quality data is available across operational, engineering, financial, and HSE domains.
</p><p></p><p>This position requires hands-on experience in upstream oil and gas and proven expertise working with enterprise-scale cloud data platforms, with Snowflake (or comparable platforms) as a core prerequisite. The Data Engineer will play a key role in advancing the company&rsquo;s cloud-based data platform and accelerating its journey toward becoming a data-driven, technology-enabled enterprise.
</p><div></div><p><b>Key Responsibilities:
</b></p><ul><li><p><b>Data Engineering &amp; Pipeline Development
</b></p><ul><li><p>Design, build, and maintain scalable, fault-tolerant ETL/ELT pipelines supporting structured and semi-structured data across upstream operational, engineering, financial, and ESG domains.
</p></li><li><p>Develop and operate data ingestion pipelines using Fivetran (or similar tools), including connector configuration, schema management, and change data capture (CDC) patterns.
</p></li><li><p>Engineer and maintain data pipelines within the Snowflake environment, ensuring reliability, performance, and cost efficiency.
</p></li><li><p>Monitor, troubleshoot, and remediate data pipeline failures, latency issues, and data inconsistencies in production environments.
</p></li><li><p>Implement logging, alerting, and basic observability for data pipelines to support operational reliability.
</p></li></ul></li></ul><p></p><ul><li><p><b>Data Transformation &amp; Medallion Architecture
</b></p><ul><li><p>Implement data transformations using dbt, applying modular, testable, and version-controlled transformation logic.
</p></li><li><p>Develop and maintain datasets aligned to a medallion architecture ensuring clear separation between raw, refined, and analytics-ready data layers.
</p></li><li><p>Apply data modeling best practices (dimensional, star schema, domain-oriented models) to support analytics and reporting use cases.
</p></li><li><p>Maintain documentation and tests within dbt to improve data transparency, lineage, and maintainability.
</p></li></ul></li></ul><p></p><ul><li><p><b>Analytics &amp; Reporting Enablement
</b></p><ul><li><p>Design and deliver standardized, production-grade dashboards and reports using Power BI and Spotfire.
</p></li><li><p>Work with business users to define KPIs, metrics, and reporting requirements, translating them into governed, scalable data models.
</p></li><li><p>Transition ad-hoc and spreadsheet-based reporting into certified, reusable analytics assets.
</p></li><li><p>Support semantic models and curated datasets that enable consistent, performant reporting across teams.
</p></li></ul></li></ul><p></p><ul><li><p><b>Data Quality, Governance &amp; Reliability
</b></p><ul><li><p>Implement automated data quality checks, validations, and reconciliation processes within data pipelines.
</p></li><li><p>Publish and maintain certified datasets and analytics-ready tables to support self-service consumption.
</p></li><li><p>Enforce metric consistency by aligning transformations and reporting logic to approved definitions and standards.
</p></li><li><p>Apply CI/CD, version control, and testing practices to data pipelines and dbt projects.
</p></li></ul></li></ul><p></p><ul><li><p><b>Business Partnership &amp; Enablement
</b></p><ul><li><p>Work directly with business analysts, operations users, and reporting consumers to clarify data requirements and troubleshoot issues.
</p></li><li><p>Support day-to-day data needs by delivering reliable datasets and reports aligned to defined standards and priorities.
</p></li><li><p>Provide technical input into data solutions while following established architecture, governance, and platform guidelines.
</p></li><li><p>Assist in onboarding users to certified datasets and reports, helping reduce dependency on ad-hoc data extracts.
</p></li></ul></li></ul><div></div><p><b>Qualifications &amp; Experience:
</b></p><ul><li><p><b>Education:
</b></p><ul><li><p>Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or related field.
</p></li></ul></li><li><p><b>Technical Skills &amp; Experience:
</b></p><ul><li><p>5+ years data engineering/analytics experience.
</p></li><li><p>Experience with Power BI and Spotfire.
</p></li><li><p>Advanced SQL, dbt, Snowflake. Familiarity with medallion architecture CI/CD, and Git.
</p></li><li><p>Industry experience in <b>upstream oil and gas </b>is required, ideally with exposure to drilling, production operations, reserves, and regulatory reporting is required.
</p></li><li><p>Proven experience deploying and managing cloud data platforms with Snowflake expertise is essential.
</p></li><li><b>Willing to work on-site in our downtown office Monday-Friday
</b></li></ul></li><li><p><b>Skills &amp; Competencies:
</b></p><ul><li><p>Strong understanding of oil and gas data domains (e.g., wells, completions, SCADA, production volumes, reserves, HSE).
</p></li><li><p>Expertise in data modeling, data integration (ETL/ELT), cataloging, lineage tracking, and security best practices.
</p></li></ul></li></ul><p></p><p><b>Work Environment &amp; Physical Requirements:
</b></p><ul><li>Primarily office-based with occasional travel to field offices and operational sites as needed.
</li><li>Potential exposure to remote and high-risk environments, requiring adherence to safety protocols.
</li><li>May involve walking, climbing, bending, or handling equipment during site visits.
</li><li>Possible exposure to varying weather conditions (heat, cold, rain) while on-site at the field offices.
</li><li>Availability for emergency response and incident management, including after-hours support when required.
</li></ul><p></p><p><i>Crescent Energy is an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, gender/pregnancy, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other legally protected status. Crescent Energy is also committed to compliance with all fair employment practices regarding citizenship and immigration status. If you require accommodation to complete the application process, please let us know by contacting </i><i>recruitment@crescentenergyco.com </i><i>.</i></p></div>

Senior Data Engineer – Upstream Oil & Gas

Chevron

<div><div>Chevron is one of the world&rsquo;s leading integrated energy companies. We believe affordable, reliable and ever-cleaner energy is essential to achieving a more prosperous and sustainable world. Chevron produces crude oil and natural gas; manufactures transportation fuels, lubricants, petrochemicals and additives; and develops technologies that enhance our business and the industry. To advance a lower-carbon future, we are focused on cost efficiently lowering our carbon intensity, increasing renewables and offsets in support of our business, and investing in low-carbon technologies that enable commercial solutions. More information about Chevron is available at <div>www.chevron.com</div>.</div><div></div><div>
Chevron is accepting online applications for the position of entry-level Wells Engineers located in:</div><div></div><ul><li>
Bakersfield, California</li><li>
Covington, Louisiana</li><li>
Houston, Texas</li><li>
Midland, Texas</li><li>
Greeley, Colorado</li></ul><div></div><div>
Entry-level Wells Engineers (Horizons Program) &ndash; Wells engineers have both office and field based assignments as part of their early career development. Field based assignments typically include: Drill Site Representatives for on-site drilling operations including exploratory wells and development wells, and/or Well Site Representatives for on-site frac spreads and well intervention operations on producing wells. Office assignments can be: drilling engineer, completions engineer, and/or well intervention engineer. Typical responsibilities for drilling engineering include: cost estimation, bit and drill string design, casing and cement design, and mud program design. Typical responsibilities for completions engineering include: cost estimation, well completion design including fracture or sand control design, well completion fluid recommendation, production tubing string design and effective nodal analysis, including understanding the integrated production system to effectively optimize production. Typical responsibilities for well intervention engineering include: designing, planning, supporting, and supervising well intervention and completion procedures, applying technology and innovation in remediating wells the use of coiled tubing and snubbing units.</div><div></div><div>
As part of your development, you will participate in the Wells Horizons program. Horizons is an employee development program designed to accelerate the knowledge, skills and self-confidence of Chevron&rsquo;s new workforce. The program&rsquo;s primary focus is the first three to five (3-5) years of an employee&rsquo;s career and provides a solid foundation of knowledge and experience, that enables participants to quickly contribute at a higher level. The program combines on the job training with technical learning to enhance the learning experience.</div><div>
Opportunities may exist to transfer to overseas locations after developing core Wells engineering competencies. Mobility is encouraged as there are many opportunities for Chevron Wells engineers to work in a variety of assignments at different locations, both domestic and international.</div><div></div><div>
Required Qualifications:</div><ul><li>
Students completing the last year of the requirements for their Bachelors, Masters or Doctorate degree in Petroleum, Chemical or Mechanical Engineering or individuals with a Bachelors, Masters or Doctorate degree in Petroleum, Chemical or Mechanical Engineering degree with less than 2 years of directly related work experience.</li><li>
Strong academic performance in core programs, communication, leadership, teamwork and problem-solving skills are of extreme importance.</li><li>
Position may require driving on a routine basis.</li></ul><div></div><div>
Relocation Options:<br>
Relocation may be considered within Chevron parameters.</div><div></div><div>
Additional Application Instructions:</div><div>
Please submit your resume and unofficial transcript(s) for review.</div><div></div><div>
Chevron regrets that it will not sponsor employment visas or consider individuals on time-limited visa status for this position unless the candidate possesses a Ph.D. or is currently enrolled in a Ph.D. program.</div><div></div><div><i>
This position may involve CTC technologies that are subject to U.S. export controls and trade sanctions. These export control laws apply to individuals who are (a) not U.S. citizens, permanent resident aliens, temporary resident aliens, applicants for temporary resident status, refugees, or asylees; and who are also (b) current citizens or permanent residents of a country that is subject to comprehensive trade sanctions under U.S. export control law, </i><div><i>http://www.treasury.gov/resource-center/sanctions/Pages/default.aspx</i></div><i>. As such, we regret that we would be unable to provide a meaningful internship experience at CTC for you because under government regulations, CTC would not be able to allow access to such technologies absent an authorization from the U.S. </i><i>government.</i><i> For this reason, CTC is not considering applicants who are current citizens and/or permanent residents of countries subject to comprehensive U.S. trade sanctions.</i></div><div></div><div>
Important Information</div><div>
Regulatory Disclosure for US Positions</div><ul><li><div>
The compensation and reference to benefits for this role is listed on this posting in compliance with applicable law.</div></li><li><div>
The anticipated pay range for this position is $113,000 - $136,000 annually. The selected candidate&rsquo;s compensation will be determined based on their respective discipline, degree level and academic year for U.S. payroll offers.</div></li><li><div>
Chevron offers competitive compensation and benefits programs which includes, but is not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at <div>http://hr2.chevron.com/</div>.</div></li></ul><div></div><div>
U.S. Regulatory notice:</div><div></div><div>
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.</div><div></div><div>
We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please email us at <div>emplymnt@chevron.com</div>.</div><div></div><div>
Chevron participates in E-Verify in certain locations as required by law.</div></div>

2025-2026 Wells Engineering Full Time

The Jupiter Group, Inc

<div>
 <p>
  &bull; This role is for a Data Scientist in the Supply Chain &amp; Manufacturing domain, with specific experience in areas like retail supply chain, inventory planning, and forecasting. The team is focused on predictive analytics and machine analytics, building real forecasting and ML models rather than just operating existing tools. GenAI and LLMs are being explored, but they are not mature yet and not the main focus of the role today.
 </p>
 <p>
  &bull; The team is currently working with KumoAI (recommendation software). They are building systems around inventory forecasting and vendor recommendation, and want to take those solutions further. Inventory planning is a key business problem they&rsquo;ve already solved once and are now enhancing with more advanced ML and deep learning approaches.
 </p>
 <p>
  &bull; They are looking for someone who has hands-on experience building different types of forecasting models and machine learning models in Python, not someone who only consumes models or uses black-box solutions. The expectation is that this person has designed their own models from scratch and productionized them using platforms like AWS and Databricks. They&rsquo;ve even built internal software for forecasting that the business can directly use.
 </p>
 <p>
  &bull; From a technical perspective, they want strong experience in deep learning for time series forecasting, especially for inventory forecasting and planning. There is very little NLP involved, so this is not an NLP-heavy role. The profile leans more toward a Full Stack Data Engineer / Data Scientist hybrid &mdash; someone who understands data pipelines, modeling, and deployment end-to-end.
 </p>
 <p>
  &bull; They specifically do not want black-box model users. They need someone who understands what is happening inside the models, can tune and improve them, and apply them directly to real business problems.
 </p>
 <p>
 </p>
</div>


Data Scientist

MD Anderson Cancer Center

<div>We seek a talented, energetic, and collaborative Molecular Modeling Scientist to conduct both routine and novel analyses as part of our flagship platform A3D3a: Adaptive, AI-augmented, Drug Discovery and Development. With experience in structural prediction, comparative modeling, and emerging generative models, the Molecular Modeling Scientist will contribute to the discovery of novel cancer therapeutics as part of A3D3a.<br>
<br>
Led by Prof. Bissan Al-Lazikani, Director of Therapeutics Data Science, the intelligent and ever-learning A3D3a platform is part of MD Anderson's Therapeutics Data Science initiative and part of our ambitious Institute for Data Science in Oncology. A3D3a will accelerate the discovery and impact of novel therapies for cancer by enabling novel opportunities for optimized therapies for patients with a focus on rare and hard-to-treat cancers through the development of novel machine learning and AI technologies.<br>
<br>
Central to this vision, the Molecular Modeling Scientist will leverage state-of-the-art macromolecular modeling techniques and, collaboratively with senior scientists, develop innovative data science approaches to answer structural questions about and nominate therapeutic targets. Additionally, physics-based modeling may also compliment structural informatics and generative AI efforts. The preferred candidate should have at least an MSc in Chemistry, Biochemistry, Computer Science, or a related field. A strong background in computational modeling and a willingness to learn new approaches is critical to this role.<br>
<br>
The ideal candidate will be an experienced computational scientist with strong Python-based scientific computing skills and expertise in cheminformatics, generative AI, and molecular modeling-capable of building predictive ML models, generating and analyzing macromolecular structures, leveraging tools such as PyTorch, Modeller, Rosetta, and MD packages, and contributing effectively to multidisciplinary research through rigorous documentation, scientific communication, and efficient project management.
<br>
<br>
<b>JOB RESPONSIBILITIES:
</b><br>
<ul><li>Generate comparative macromolecular models of potential therapeutic targets</li><li>Build and apply machine/deep learning models to predict structural properties</li><li>Analyze ensembles of structures through techniques such as clustering</li><li>Document work thoroughly</li><li>Produce output for scientific publications and contribute to said publications</li><li>Present results at multidisciplinary project meetings as well as external meetings</li><li>Attend collaborator meetings and team working group meetings. Prioritize and manage multiple projects in a timely and resource-effective manner.</li><li>Stay up to date with relevant literature, gather information systematically, and confer with the supervisor regarding new procedures.
</li><li>Expertise in scientific computing using Python in a Unix environment</li><li>Proficient with generative AI for structure prediction; familiar with PyTorch.</li><li>Proficiency with Modeller, Rosetta, or other classical comparative modeling tools</li><li>Experience with OpenMM, AMBER, or comparable MD tools</li><li>Experience with molecular visualization tools (i.e., PyMol, VMD)</li><li>Familiar with basic statistical testing</li></ul><br>
Other duties as assigned.<br>
<br>
<b>EDUCATION:
</b><br>
Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.<br>
Preferred: Master's or PhD Degree Science, Engineering or related field.<br>
<br>
<b>EXPERIENCE:</b><br>
Required: Three years scientific software or industry development/analysis experience. With Master's degree, one year. With PhD, no experience required.<br>
Preferred: Proficent with PyTorch. Profient with comparative modeling tools.<br>
<br>
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.<br>
<br>
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.<br>
<br>
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html<br>
<br>
Additional Information
<br>
<ul><li>Requisition ID: 179242
</li><li>Employment Status: Full-Time
</li><li>Employee Status: Regular
</li><li>Work Week: Days
</li><li>Minimum Salary: US Dollar (USD) 106,500
</li><li>Midpoint Salary: US Dollar (USD) 133,000
</li><li>Maximum Salary : US Dollar (USD) 159,500
</li><li>FLSA: exempt and not eligible for overtime pay
</li><li>Fund Type: Soft
</li><li>Work Location: Hybrid Onsite/Remote
</li><li>Pivotal Position: Yes
</li><li>Referral Bonus Available?: Yes
</li><li>Relocation Assistance Available?: Yes
</li></ul><br>
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Data Scientist Molecular Modeling

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