Computational Geophysicist

Machine Learning Scientist

ASC - Downstream Data Scientist

Thermal Systems Engineer

Data Engineering Management Expert (TOC)

Data Science Manager

Finance Data Scientist ( Business Systems Analyst)

Lead Controls & Automation Engineer - New Development

Overview: <ul><li>We are seeking to hire a computational geophysicist to join the Geophysical Imaging Department that aims to provide a diverse set of geophysical solutions which illuminate the subsurface to reduce the uncertainty surrounding hydrocarbon &amp; non-hydrocarbon activities through integrating the best talent, optimal processes and leading-edge technologies.&nbsp;</li><li>The candidate will formulate and develop algorithms in CPU and GPU for various geophysical disciplines in collaboration with the subject matter experts.&nbsp;</li><li>The codes are expected to be put into a production environment and used as part of the main workflow to improve the quality and efficiency of the department products.&nbsp;</li><li>The geophysical products include but are not limited to velocity model building and depth imaging: therefore, basic knowledge in each discipline is preferable.&nbsp;</li><li>In addition, the computational geophysicist will provide periodic updates through presentations, reports and demonstrations and must have excellent verbal and written communication skills.</li></ul> Responsibilities:&nbsp;<ul><li>Develop applications that improve the accuracy of our current geophysical modelling and inversion algorithms.</li><li>Adapting scientific applications to GPU.</li><li>Improve geophysical technology software documentation and user friendliness.</li><li>Support existing technology in production environment.</li><li>Restructure software code for efficiency and effectiveness.</li><li>Stay up to date with industry technology and software trends to bring ideas to geophysical solutions.</li><li>Prepare and present professional-quality presentation materials to technical peers and management.</li><li>Transfer knowledge to young professionals to ensure business continuity through mentorship and documentation.</li></ul> Requirements:&nbsp;<ul><li>A successful candidate, would need to hold a bachelor or higher degree in Geoscience.</li><li>10+ years of experience in geophysical field and/or oil and gas industry.</li><li>Advance depth imaging (FWI, RTM, LSRTM) and velocity model building experience.</li><li>Experience with numerical methods, parallel algorithms, MPI, and GPU programming.</li><li>Proficiency in computing programming language (Fortran, C++ and/or C).</li><li>English language fluency with the capability to communicate clearly and effectively verbally and in writing Excellent.</li></ul>

Role Description: <ul><li>As an ML engineer, you will have the opportunity to work on large-scale ranking and recommendation systems for sequential content consumption on newly installed user interface designs&nbsp;</li><li>The solutions developed by you will aid in building novel and meaningful graph-based community assets around the network of consumers and merchants, to ultimately drive key product and marketing KPIs associated with customer experience, engagement and the revenue bottom line.</li></ul> Responsibilities:&nbsp; As a Machine Learning Scientist you will be responsible for: <ul><li>Creating innovative AI/ML solutions that enhance personalization for users, with a focus on ranking and recommendation algorithms.</li><li>Writing scalable, production-quality code to deploy models on company infrastructure, optimizing for performance and efficiency.</li><li>Collaborating with cross-functional teams, including engineering, product, and marketing, to design, develop, and track key performance indicators (KPIs) for ranking and recommendation models.</li><li>Conducting experiments to measure these KPIs, as well as deriving actionable insights from the data, to continually improve the technology and drive business outcomes.</li></ul> Requirements: <ul><li>Advanced degree (MS or PhD) in quantitative science or engineering field (for example: Computer Science, Statistics, Mathematics, Operation Research) with a minimum of 2 years of hands-on experience for MS as an individual contributor.</li><li>Proven expertise in designing and developing AI/ML models for ranking and recommendation systems, with in-depth understanding of both traditional collaborative/content-based recommendation methods and cutting-edge deep learning algorithms, reinforcement learning, and bandit techniques.</li><li>Demonstrated ability to write scalable high quality code in Python, Java, Scala or a similar programming language, and to design and implement data engineering pipelines using technologies like Hive, SQL, BigQuery, or Spark.</li><li>Proficiency in machine learning frameworks and packages, such as Tensorflow and PyTorch.&nbsp;</li></ul>

Responsibilities: <ul><li>Formulates and leads guided, multifaceted analytic studies against large volumes of data.</li><li>Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.</li><li>Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.</li><li>Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.</li><li>Leads all data experiments tasked by the Data Science Team.</li><li>Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.</li><li>Develops methodology and processes for prioritization and scheduling of projects.</li><li>Analyzes problems and determines root causes.</li><li>Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.</li><li>Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.</li></ul> Requirements: <ul><li>Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields</li><li>5-7 years of professional experience</li><li>Proficient with one or more programming languages (Java, C++, Python, R, etc.)</li><li>Demonstrated experience applying data science methods to real-world data problems</li><li>Experience utilizing visualization tools to take advantage of the growing volume of available information</li></ul> Data Scientist Qualifications / Skills: <ul><li>Advanced analytical knowledge of data</li><li>Conducting big data analysis</li><li>Data conditioning</li><li>Programming advanced computing</li><li>Developing algorithms</li><li>Developing software and data models</li><li>Executing predictive analytics</li></ul>

Responsibilities: <ul><li>Design and Development of a wide range of Thermal Management Systems (TMS) (Conventional/Electric Powertrain Cooling Systems (P-CS), Battery Thermal Management Systems (BTMS), Hydrogen and Fuel Cells Powertrains, Environmental Control Systems (ECS) and air-conditioning (A/C) etc.) from the Conceptual Design to the Integration and Entry into Service phases.</li><li>Active participation in a broad spectrum of applications and Aircrafts’ Development such as Conventional, Hybrid and Electric Aircrafts, Experimental Prototypes and serial production for Fixed Wing Aircrafts and VTOLs.</li><li>Implementation and leveraging of advanced Thermal Simulation (0D – CFD) tools (using both Commercial Software and Internally developed codes and algorithms) to perform analyses to drive the design and the validation of TMS.</li><li>Supervise the development and integration of the 3D CAD models of the System and its components.</li><li>Collaborate with the Testing Teams (Ground and Flight Test) to plan and conduct Testing activities to validate the Design and verify the performance of different TMS.</li><li>Preparation of detailed Technical Documentation (Analysis and Simulation results, procedures, Test Plan/Reports, Project Deliverables, etc.)</li><li>Working closely with other Departments (Electrical, Mechanical, Airworthiness etc.) to integrate thermal solutions into the overall design of the aircraft. Address thermal challenges at various stages of projects’ development.</li><li>Assist in the Suppliers’ Selection and Management</li></ul>&nbsp;Requirements: <ul><li>MSc or PhD degree in Aerospace/Mechanical Engineering or a related field.</li><li>Minimum 3 years of work experience in the field of Thermal Management Systems such as:</li><li>Thermal or Electric Powertrain CS</li><li>Battery Thermal Management Systems (BTMS)</li><li>Environmental Control System and/or Air Conditioning</li><li>Hydrogen and Fuel Cells Powertrain</li><li>Strong Thermal Engineering Background (Thermodynamics, Heat Transfer, Fluid-Dynamic).</li><li>Proficiency with System Level (0-D/1-D) Modelling and Simulation tools (AMEsim, Simscape, Modelica etc.). Basic understanding of Aerodynamics and CFD knowledge is preferred.</li><li>Experience with Electronics Thermal Management Systems Design and Development is preferred (Heat Sinks, Heat Pipes etc.)</li><li>Experience with 3D CAD and engineering design tools (preferably SolidWorks)</li><li>Hands-on experience in Prototyping, Testing and Validation of Thermal Systems (ideally for aerospace settings).</li><li>Excellent problem solving, communication and collaboration skills, precise and patient character.</li><li>Proactive and able to work with a minimum of supervision.</li><li>Strong ability to think out of the box.</li><li>Hands-on attitude.</li><li>Understanding of programming languages (preferably Python).</li><li>Fluent English language skills.</li></ul>

Responsibilities: <ul><li>Design, construct, and maintain highly scalable databases tailored to the needs of the Archie Initiative Data Explorer.</li><li>Implement robust data pipelines to facilitate efficient data ingestion, transformation, and dissemination.</li><li>Collaborate closely with a cross-disciplinary team including data scientists, analysts, and stakeholders to understand data needs and deliver on project goals.</li><li>Develop and optimize database structures, data-processing algorithms, and data output solutions to ensure data integrity and quality.&nbsp;</li><li>Support the team in conducting research on energy traceability and life cycle analysis, providing data-driven insights and recommendations.</li><li>Document processes, systems, and data flows to ensure reproducibility and facilitate knowledge sharing among the team.&nbsp;</li><li>Stay updated on the latest industry trends, technologies, and best practices in data engineering and relevant fields to continually improve our systems and processes.</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Engineering, or a related field; Master’s degree preferred but not required.&nbsp;</li><li>5+ years of professional experience in data engineering, database administration, or a related role.</li><li>Proficiency in SQL, and experience with at least one scripting language such as Python or Ruby.</li><li>Experience with big data technologies like Hadoop, Spark, or similar frameworks is a plus.&nbsp;</li><li>Knowledge of energy traceability and life cycle analysis concepts is desirable.</li><li>Strong problem-solving skills, attention to detail, and ability to work both independently and in collaborative team environments.&nbsp;</li><li>Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.</li><li>Must possess good work habits, a strong work ethic, and be able to adhere to company work hours, policies, and standard business etiquette.</li></ul> Working Environment: <ul><li>Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.</li><li>Our people work on truly world-scale projects, supported by investment in capital and technology that is second to none.&nbsp;</li><li>And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development.</li><li>We have a proud history of educating and training our workforce over many decades.&nbsp;</li><li>Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.</li></ul>

Purpose of Job Role: <ul><li>work with a Analytics team (in the Front - business line) and will have the primary responsibility for generating data products (reports, applications) to meet business needs</li><li>collaborate as part of a cross functional team with business departments (Commercial, Marketing, Strategy, etc.) and IT (data engineering)</li><li>support stakeholders in choosing the best approach to achieve business goals with data insights, reporting and data models; always having in mind how these teams will use, consume or interact with the data products</li><li>partner with IT to secure data models are built leveraging best practices and ensuring KPI automation</li><li>lead Data scientists team and support the designing of different solutions: best-in-class visualization, hypothesis testing (A/B testing), advanced models and algorithms deployments</li><li>The successful candidate should be able to think/act strategically, develop structured and well designed data processes to fully connect the flow from back to front, being able to understand business needs and prioritize/align requirements to the business and Analytics strategy; he will also play a role model within Analytics team.</li></ul> Responsibilities: <ul><li>Develop strategical reports and dashboards with a Proof of Value and scalability approach</li><li>Develop and implement data products for main stakeholders (Commercial, Marketing, Finance departments)</li><li>Work as a translator between business and IT departments for KPIs definition and automation. Coordinate user-focused documentation for the data solutions</li><li>Collaborate with architects from the IT department to support data governance and quality efforts</li><li>Support requests prioritization to align workload to business strategy</li><li>Coordinate and develop teams of Data Scientists</li><li>Communicate insights, data products and reports status and results clearly to the partners</li><li>Negotiate requests, workloads and team assignment with different partners</li></ul> Requirements: <ul><li>Bachelor’s degree in Mathematics, Actuary, Economy, Engineering, Computer science</li><li>Masters degree in Data Science, Computer Science, Statistics or related area is a plus</li><li>5+ years’ proven experience working on Data Visualization, Data Science, Machine Learning</li><li>Advanced experience with programming languages for data modeling (SQL, R, Python)</li><li>Advanced experience working with Business Intelligence platforms and tools (Microsoft Power BI)</li><li>Experience with Matillion is a plus</li><li>Project Management &amp; communication skills</li><li>Problem solving/critical thinking mindset</li><li>Highly organized</li><li>Data storytelling and communication skills</li><li>Proficiency in English</li></ul>

Role Description: <ul><li>We are seeking a seasoned “Business System Analyst” to serve in the role of “Financial Data Scientist” to join the Digital Solutions &amp; Data Management Division of the Digital Finance Department.</li><li>Digital Finance Department (DFD) is responsible for the coordination, development, and management of information systems used in financial accounting, treasury, financial planning &amp; forecasting, performance management and the entire suite of digital solutions for the Finance Business line.</li><li>Digital Implementation Division is responsible for providing program management services for implementation, rollout and support of finance system solutions through digital technologies including advanced analytics, Robotic Process Automation (RPA) and Advanced Analytics technologies including Artificial Intelligence solutions and SAP solutions using Business Warehouse (BW) and Analytics Cloud (SAC).</li><li>The department personnel are multidisciplinary professionals with key focus on Financial Applications functional experience and IT technical background.</li><li>The Business System Analyst’s primary role is to champion the identification, evaluation, design, coordinate implementation and facilitate rollout of Artificial Intelligence centric solutions in the Finance organization.</li><li>The analyst will also lead implementation initiatives where required in addition to managing post implementation support.</li></ul> Responsibilities: <ul><li>Pursue a robust value centric methodology to identify valuable opportunities enabled by AI/ML, Predictive/Prescriptive Analytics, Generative AI, Chatbots and other technologies</li><li>leverage best practices to recommend and advocate transformation of finance functions with AI&nbsp;</li><li>Conduct exploratory data analysis, leverage AI algorithms to derive value for finance functions, such as for forecasting, anomaly detection etc.&nbsp;</li><li>Ideate AI solutions, develop scope, design and facilitate implementation of digital solutions, and coordinate change management&nbsp;</li><li>Continuous upkeep and training of AI models to ensure integrity and traceability&nbsp;</li><li>Design, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management and Investor Relations.</li><li>Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions. Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementation</li><li>Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.</li><li>Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.</li><li>Stay up-to-date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.</li><li>Communicate technical concepts and findings effectively to both technical and non-technical audiences.</li><li>Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.</li><li>Organize and facilitate workshops with different users and consultants to document processes and drive transformation</li><li>Lead the delivery and execution of key digital initiatives. Participate in solutions development through projects and programs, collaborating with business and technology groups.&nbsp;</li><li>Maintain, support and optimize digital solutions.</li></ul> Requirements: <ul><li>As the successful candidate you will hold a Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics or IT from a recognized and approved program. Possession of an advanced business degree (e.g. MBA) and/or relevant professional certification (e.g. CMA, CFA, CPA) is preferred but not required.&nbsp;</li><li>You will have six to eight years’ experience in Data Science, Artificial Intelligence and other related advanced analytics implementation of financial systems. </li><li>Expertise in Python programming languages and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required. UI programming, such as with React, is required. </li><li>Skills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.</li><li>You will be able to demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits, evaluation of technical and execution options, critical success factors, and project risks.</li><li>You must have project experience implementing AI solutions and will be able to analyze the business requirements, evaluate and recommend technical options and support the execution process for implementing such solutions. Ability to get involved in hands on technical solution management is preferred.&nbsp;</li></ul>

Role Description: <ul><li>The successful candidate will set high standards of performance for themselves and their projects, maintain a professional demeanor in written and verbal communications while developing innovative solutions.</li><li>The candidate will be a technical lead and manage a small group of development engineers.</li><li>This role will report to the Senior Manager of Controls and Automation.</li></ul> Responsibilities: <ul><li>Lead a team developing control algorithms, system architecture and compiling software for PLC/PAC/SBC based systems, HMI design/implementation, data logging, and communication interfaces related to the drilling industry.</li><li>As a ‘player-coach’ be able to provide feedback and guidance to team members and organize employee performance and evaluations for direct reports.</li><li>Provide accurate system diagrams, loop diagrams, block diagrams, and network diagrams for new or existing software systems.</li><li>Generate design documentation, drawings, operation manuals and related material for systems code and hardware.</li><li>Perform as lead engineer on the solutions developed by the team; understand and ensure compliance with the functional descriptions.</li><li>Mine large sets of data to diagnose and resolve dysfunctions within drilling rig control systems.</li><li>Generate work tasks, organize the ordering and delivery of equipment and materials, and oversee the efficient installation and commissioning of software and equipment.</li><li>Work directly with third party contractors, Operations, Technical Services, and HSE management and rig crews to assist with the execution of a wide variety of company goals including, but not limited to, drilling system controls, R&amp;D projects, etc.</li><li>Provide technical support to field personnel as required to assist with troubleshooting PLC and control system issues.</li><li>Enforce all processes for software change control to ensure that changes are introduced in a controlled and coordinated manner, including documentation and version management.</li></ul>&nbsp;Requirements: <ul><li>Ability to lead of a team, managing multiple tasks and working on multiple projects simultaneously to meet challenging deadlines.</li><li>Demonstrate clear written and verbal communication skills and the ability to promptly give, and follow directions.</li><li>Ability to safely navigate the yard and shop work sites with occasional walking, climbing, standing, stepping, etc. during normal operating conditions (day/night, outdoor hot/cold weather).</li><li>Ability to safely navigate drilling rig work sites including regular walking, climbing, standing, stepping, etc. during various weather conditions (day/night, outdoor hot/cold weather).</li><li>Ability to proficiently use MS Office Suite to develop presentations, correspondence, reports, and schedules (Word, Excel, PowerPoint, etc.).</li></ul> Physical ability to: <ul><li>Lift and carry 50 pounds independently while walking on uneven surfaces</li><li>Bend, stoop, kneel, twist, and crawl occasionally during visits to the field and operational work areas</li><li>Listen for unusual noises that signify equipment and or machinery problems</li><li>Stay alert and focused including during occasional extended work periods</li><li>Maintain spatial orientation and awareness to safely move around the work environment with many moving objects including overhead machinery</li><li>Wear Personal Protective Equipment (PPE) at all designated times</li><li>Ability to regularly travel as needed to visit worksites and support business units; may require extended travel to remote locations and/or overnight stay(s) outside normal office area</li><li>Ability to work on weekends and be on call after hours as needed</li></ul> Demonstrated ability in the following leadership competencies: <ul><li>Builds and Maintains Effective Relationships</li><li>Develops Self and Others</li><li>Builds Effective Teams</li><li>Courageous Leadership</li><li>Managing Vision and Purpose</li><li>Business Acumen</li><li>Drive for Results</li><li>Customer Focus</li><li>Decision Quality</li></ul> Minimum Qualifications <ul><li>Bachelor’s degree in an engineering discipline or related field not limited to Electrical / Mechanical Engineering, Mechatronics, Controls and Automation</li><li>Proven experience in ladder logic design and implementation</li><li>5+ years of HMI development</li><li>5+ years of proven experience with PLC/PAC/SBC programming and HMI development</li><li>Experience with standard communications protocols (Ethernet/IP, Profibus, Profinet, CANBUS, OPC UA, etc.)</li></ul> Preferred Qualifications&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <ul><li>Experience working in a multi-developer environment</li><li>Proven experience with PLC/PAC/SBC programming related to drilling controls and automation</li><li>Experience in HMI development using Wonderware / WinCC</li><li>Experience in Omron PLC programming using CX-One software</li><li>Experience in deploying solutions using Labview</li><li>Working knowledge of VFD drives, and related equipment used in the drilling industry, preferably Converteam and Yaskawa VFDs</li><li>Certifications: None</li><li>Supervisory Responsibilities: Yes</li></ul>

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8 algorithms Jobs found

Computational Geophysicist

Machine Learning Scientist

ASC - Downstream Data Scientist

Thermal Systems Engineer

Data Engineering Management Expert (TOC)

Data Science Manager

Finance Data Scientist ( Business Systems Analyst)

Lead Controls & Automation Engineer - New Development

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8 algorithms Jobs found

Computational Geophysicist

Machine Learning Scientist

ASC - Downstream Data Scientist

Thermal Systems Engineer

Data Engineering Management Expert (TOC)

Data Science Manager

Finance Data Scientist ( Business Systems Analyst)

Lead Controls & Automation Engineer - New Development

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow is on a mission to connect companies with the best talent across the globe.