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FEED

The Halff Environmental Advantage Halff’s environmental scientists, planners, geologists and cultural resources specialists have a shared tenure — 25 years in some cases — that enables us to provide an unmatched level of continuity in our approach from shared project experience. Environmental Scientist, Transmission Line Routing & Siting Halff has an opening for an Environmental professional, specializing in Transmission Line Routing & Siting, to join our growing Environmental team as an Environmental Scientist.

Halff

Environmental Scientist, Transmission Line Routing & Siting

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This entry-level position will be primarily responsible and entrusted to undertake key tasks to include conducting Phase I and Phase II Environmental Site Assessments, completing field investigation activities, completing compliance inspections/sampling, preparing reports and daily field notes, and overall support of the environmental department with potential for growth into a project management role. Support Texas Risk Reduction Program (TRRP), Petroleum Storage Tank (PST), Resource Conservation and Recovery Act (RCRA), and Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) documentation and reporting.

Environmental Scientist/Professional Geologist

It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws.

YEAR

About Capgemini

A global leader in consulting, technology services and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company of over 200,000 team members in more than 40 countries. The Group reported 2018 global revenues of EUR 13.2 billion (about $15.6 billion USD at 2018 average rate).

Visit us at www.capgemini.com. People matter, results count.

Capgemini SE

Capgemini Invent - Data Scientist

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FULL_TIME

Advanced level of understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources. Professional experience in hospital setting, medical informatics, healthcare information technology/finance/revenue cycle data management, or Electronic Health Record (EHR) data management is preferred.

Veracity Ventures Inc.

Lead Data Scientist

Supporting Fraud Prevention and Anti-Money Laundering (AML) programs within Financial Risk Management (FRM), the team develops predictive models, AI-powered capabilities, and advanced analytical solutions that solve complex business problems and deliver measurable value. Partner with business, technology, and governance teams to translate business needs into practical use cases for Large Language Models (LLMs), Retrieval Augmented Generation (RAG), intelligent automation, and agentic AI systems.

The Charles Schwab Corporation is a leading provider of financial services, with more than 300 offices. Through its operating subsidiaries, the company provides a full range of securities brokerage, banking, money management and financial advisory services to individual investors and independent investment advisors. Named "Highest in Investor Satisfaction with Self-Directed Services" by J.D. Power and Associates in 2009, its broker-dealer subsidiary, Charles Schwab & Co., Inc. (member <a href="http://www.sipc.org/" target="_blank">SIPC</a>) affiliates offer a complete range of investment services and products including an extensive selection of mutual funds; financial planning and investment advice; retirement plan and equity compensation plan services; referrals to independent fee-based investment advisors; and custodial, operational and trading support for independent, fee-based investment advisors through Schwab Advisor Services. The Charles Schwab Bank (member FDIC) provides banking and mortgage services and products. To meet the needs of our clients, we are actively recruiting people with the desire, drive and creativity to find solutions that help meet our clients' needs; who want the chance to learn, grow with the company and explore their career opportunities; who will strive for excellence in achieving our clients' and our company's goals; who have the highest ethical standards - individuals who take pride in making a difference in people's lives.

The Charles Schwab Corp

Manager, Data Scientist

Our products generate and process large amounts of data from sensors, on-board models, and control algorithms in real-time, creating real-world machine usage information to provide condition monitoring and fleet management services. You will support applications across Construction Industries, Resource Industries, and Power & Energy while helping expand how Caterpillar uses connected asset data to improve products, services, and the customer experience.

Caterpillar is a driving force in logistics, automation, financial services, power generators and many other industries. No matter what we do, our commitment to excellence in every aspect of our business has made the name Caterpillar a symbol of strength, respect and integrity all over the world. Caterpillar is a global company with opportunities to travel and work at locations across the US and abroad. We have manufacturing facilities in 21 countries, marketing headquarters in 11 countries and distribution centers in 19.

Caterpillar Inc

Senior Data Scientist

As a Graduate Scientist I / Staff Geologist I, their role is collaborating with Staff Geologists/Environmental PMs in completing Phase I and Phase II projects; supporting aspects of complex projects; providing support, as needed, on Phase I and Phase II projects; coordinating with clients; and supporting field efforts supporting all aspects of field and reporting. Complete Phase I ESA Reports, Phase II Reports, Site-Safety Health Plans, Quality Assurance Project Plans (QAPPs), Waste Management Plans, data summary tables/interpretation, and support completion of State required regulatory documentation.

Graduate Scientist I, Environmental / Staff Geologist I

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Deep technical and data science expertise, with demonstrated experience in one or more of the following areas: Analytical methods: statistical modeling (e.g., linear regression, GLMs, time series), supervised machine learning (e.g., random forests), design of experiments, segmentation/clustering methods, mixed-integer linear optimization. Education/Experience Required: Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; 3-8 years of relevant industry work experience in Data Science.

Paladin Consulting, Inc.

Data Scientist

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3+ years working in the field of advanced analytics, AI/ML and/or operations research initiatives, developing and integrating analytical methods into software products; Demonstrated use of innovative methodologies and approaches to solving business problems, resulting in meaningful business impact; Experience across multiple AI/ML and analytics domains (LLMs, forecasting, deep learning, operations research, prescriptive & predictive methods, etc.); Expertise in Python and other cloud-based data science platforms (Databricks preferred), and proficiency in SQL; Experience with generative AI tools and platforms such as Cursor, GitHub and/or Microsoft Copilot, Glean, Databricks Genie, etc. Partner cross-functionally with data engineering, software delivery, product delivery teams, business units, and other stakeholders to drive product development and business outcomes.

LEADING THE CHARGE INTO TOMORROW 
 
 AtGeneral Motors, we are passionate about earning customers for life. This vision unites us as a team each and every day and is the hallmark of our customer-driven culture. In fact, there are a lot of exciting things to share about our company. Our story starts on November 18, 2010, when we completed the world’s largest initial public offering, emerging with a solid financial foundation that enables us to produce great vehicles for our customers and build a bright future for employees, partners and shareholders.Leading the way is our seasoned leadership team who set high standards for our company so that we can give you the best cars and trucks.

General Motors

Implements modern development lifecycle practices for semantic models and analytical solutions, including Git-based source control, versioning, testing, peer review, CI/CD, and deployment across development, test, and production environments. Partners with Business Intelligence professionals to ensure semantic models and analytical solutions effectively support enterprise reporting, self-service analytics, AI applications, and business decision-making.

HOLT Group

PinpointHQ

Applicants must have 3 years of experience in the following: (1) Applying domain knowledge of oil and gas equipment and production systems to develop or deploy machine learning solutions using operational and sensor data for PHM, condition monitoring, or production optimization in production environments; (2) reliability analytics using operational, sensor, and event-based data; (3) deploying and operating machine learning models in production systems, including integration and execution for edge or near-edge applications; (4) integrating machine learning, deep learning, LLM-based systems, and visualization tools with production engineering workflows; (5) machine learning and deep learning model development for industrial assets, including predictive maintenance, anomaly detection, forecasting, and asset health monitoring in oil and gas production and engineering environments; (6) enterprise data science and cloud platforms, including Dataiku, Microsoft Azure, and Google Cloud Platform (GCP), to build and manage data pipelines, ML workflows, and GenAI applications; (7) Generative AI and RAG systems, including deploying and operating architectures combining LLMs with structured and unstructured data sources; and (8) building interactive dashboards and analytical interfaces using frameworks such as React, Angular, Dash, or Streamlit. Master's degree in Data Science, Computer Science, Computer and Information Science, Statistics, Engineering, Applied Mathematics, or a related STEM field, or foreign equivalent, plus 3 years of post-baccalaureate experience in the job offered or in data scientist, machine learning engineer, applied AI engineer, or related analytical job titles.

Slb NV

Implement scalable analytical workflows using Python, SQL, and PySpark, working with data engineers to move solutions into repeatable production workflows Help generalize customer-specific calculations, research ideas, and analytical prototypes into reusable software and product capabilities. Powered by Immutably, an innovative, trusted data fabric platform, our integrated solutions deliver context-driven insights that enable human networks to spot patterns, correlate trends - and reveal the ground truth hidden inside the world's most complicated, persistent problems.

Context Labs Inc

You will partner with data engineers and business stakeholders to operationalize models, AI-powered applications, and automated processes, ensuring they are scalable, maintainable, and deliver measurable business value. As part of your day-to-day responsibilities, you will identify opportunities to automate manual processes, streamline analytical workflows, and develop scalable solutions that improve accuracy, consistency, and speed across the organization.

We are a member based organization that prides ourselves on providing exemplary service to maximize member satisfaction. Our environment is one of collaboration, team work and positivity. OAC provides a healthy work/life balance, striving for an atmosphere that concentrates on wellness, productivity and success. We all take part in holding ourselves accountable, individually as well as collectively to stay progressive leaders in supporting our community. OAC stays committed on our daily accomplishments to continue helping our members stay safe and worry free.

Data Scientist Lead

Kymanox encourages team members, especially new graduates, and young professionals, to work on a variety of projects to gain increased learnings in Kymanox’s service offerings and the life science industry as a whole. Kymanox is looking for motivated individuals who want to solve problems in the life science industries while doing the work they love and helping get modern medicines that enhance and save patient lives to market.

Kymanox

(Contract) Senior QC Scientist

Basin resource evaluation, Basin resource evaluation, CO2 utilisation and storage, Data Analysis, Depletion and Storage Development Planning, Depositional framework, Fluid Properties, Geodesy and coordinate integrity, Geohazard Assessment, Geological Reservoir and Storage Unit Modelling, Geophysical surveillance, Integrated Resource Progression, Integrated Well Delivery, Non-seismic geophysical methods, Petroleum Systems Analysis, Petrophysical Seismic Lithology and Fluid Prediction, Petrophysical Seismic Reservoir Characterisation, Research and Development, Reserves Estimation and Storage Volume Assessment, Reservoir quality, Resource, Rock Properties Framework, Seismic Acquisition, Seismic Analysis, Seismic Processing {+ 7 more} . Imaging R&D team is set up to solve cutting edge challenges that involve solving big inverse problems, building modeling and simulation capabilities, developing stochastic algorithms, and estimating uncertainties & communicating complex information to our business units.

Imaging Research Scientist

The Commercial Data Scientist will partner directly with traders and market analysts, turn messy market and operational data into decision-quality signals, and establish the validated data products and production workflows that let the broader team scale. 6 or more years of industry experience developing and deploying advanced analytics and machine learning solutions, including a track record of independently owning ambiguous problems from hypothesis through business adoption.

Phillips 66 is a diversified energy manufacturing and logistics company. With a portfolio of Midstream, Chemicals, Refining, and Marketing and Specialties businesses, the company processes, transports, stores and markets fuels and products globally. Phillips 66 Partners, the company's master limited partnership, is an integral asset in the portfolio. Headquartered in Houston, the company has 14,000 employees committed to safety and operating excellence. Phillips 66 had $50 billion of assets as of June 30, 2016.

Phillips 66

Sr. Advisor Iii, Commercial Data Scientist

About the role: The Senior Data Scientist is responsible for Implementing the design, development, deployment, and maintenance of predictive/prescriptive/statistical models in originations, collections, risk, pricing, fraud, customer experience and marketing; Modeling with expertise in forecasting, optimization, data mining, analysis, and analyzing complex datasets; Conducting studies with the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms; Summarizing, reporting, and providing polished presentations of findings to a variety of internal clients as well as working with other departments to achieve the overall company objectives; Lead in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance. Advanced knowledge and demonstrated understanding of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components, and linear programming techniques.

General Motors Financial Company, Inc.

Sr Data Scientist

Sr. Advisor III, Commercial Data Scientist

Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC). MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred.

Victory

Data Scientist (Remote)

We are seeking a Data Scientist to help own the end-to-end data science charter for critical operational workstreams - from forecasting IT service demand and capacity planning to designing intelligent severity triaging models and building the analytical backbone for agentic AI solutions. We build data pipelines, predictive models, develop analytical intelligence frameworks, and create AI-powered solutions that transform how Amazon manages, triages, and resolves IT operational incidents at scale pointing towards the Letting Data Tell the Story north start vision.

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life. 
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet. 
It’s Always Day 1 
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter <a href="https://hiring.amazon.com/why-amazon/culture#/">here</a> 
Our Leadership Principles 
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit <a href="https://www.amazon.jobs/principles" target="_blank">https://www.amazon.jobs/principles</a>

Analytical Scientist Jobs in Texas

Environmental Scientist, Transmission Line Routing & Siting Halff

Environmental Scientist/Professional Geologist Halff

Capgemini Invent - Data Scientist Capgemini SE

Lead Data Scientist Veracity Ventures Inc.

Manager, Data Scientist The Charles Schwab Corp

Senior Data Scientist Caterpillar Inc

Graduate Scientist I, Environmental / Staff Geologist I Halff

Data Scientist Paladin Consulting, Inc.

Data Scientist General Motors

Data Scientist HOLT Group

Lead Data Scientist Slb NV

Data Scientist Context Labs Inc

Data Scientist Lead AAA

(Contract) Senior QC Scientist Kymanox

Imaging Research Scientist BP

Sr. Advisor Iii, Commercial Data Scientist Phillips 66

Sr Data Scientist General Motors Financial Company, Inc.

Sr. Advisor III, Commercial Data Scientist Phillips 66

Data Scientist (Remote) Victory

Data Scientist, OTS - Data ANCHOR Team Amazon.com Inc

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