Computational Geophysicist

Machine Learning Scientist

Business Development Specialist (New Energy)

Business Development Specialist (IIP)

Data Science Manager

ASC - Downstream Data Scientist

Sales & Product Manager / Product Manager- Medical device (Human & Vet)

ASC- Environmental Engineer

Data Engineering Management Expert (TOC)

Electrical Engineer

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>Monitor market trends and develop optimal marine coverage strategy. Analyze and define best marine transportation options.</li><li>Identify optimal vessel, negotiate rates and charter party terms. Negotiate Spot in/out charters, Contracts of Affreightment (COA), and short-term/ long-term time charters.</li><li>Provide market research, vessel availability and freight economics, projects and commercial trading organizations.</li><li>efine all commercial and contractual details for negotiated charter party terms. Coordinate closely with schedulers to nominate tonnage in a manner that will optimize system freight costs, minimize demurrage and ensure timely delivery of cargoes.</li><li>Communicate and liaise with shipowners and utility companies, network and maintain relationship with market players i.e. ship-owners, brokers, customers, and end-users to keep abreast of market developments and opportunities.&nbsp;</li><li>Coordinate with Business Intelligence team to build a fundamental model to help taking the decisions in the shipping strategy.&nbsp;</li><li>Coordinate, analyze, and implement the preparation of document for transportation plan of vessel (Loading / Discharge Instruction, Instruction for Ballast and Laden Voyage) to ensure all required documents are complete.&nbsp;</li><li>Coordinate and analyze the review process and calculation of shipping operations expenses, covering fuel-bunker, ship maintenance.&nbsp;</li><li>Coordinate, monitor and analyze fuel bunker consumption, ship maintenance, dry-docking and activity during operation to ensure all processes are completed effectively according to procedures.&nbsp;</li><li>Coordinate and analyze the consolidation of information and reports on issues during loading, sailing and discharging activity to ensure availability of timely report to related parties.&nbsp;</li><li>Coordinate and participate in the compatibility study between ship and shore for buyers’ terminal to ensure all requirements and conditions are incorporated for effective and efficient shipping operation.</li></ul> Requirements: <ul><li>Bachelor’s degree in Engineering, Business, or Economics. MBA or a relevant advanced degree is strongly preferred.</li><li>At least 15 years of professional experience in commercial role, with a proven track record of long-term commercial deals in LNG or Ammonia business.</li><li>Able to analyze market data, develop models, use derivatives and identify commercial opportunities</li><li>Effective negotiating skills; Good commercial judgment</li><li>Strong analytical capability</li><li>Able to think independently, self-motivate, and be a team player</li><li>Good communication, presentation and interpersonal skills</li><li>Ability to manage cross-cultural relationships internally and externally with experience in Asian cultures as well as Middle Eastern cultures.&nbsp;</li><li>Ability to work collaboratively in a multinational team is essential.&nbsp;</li><li>Willingness and ability to travel.&nbsp;</li><li>Excellent communication skills, proficiency in speaking and writing in English, working level Asian languages is preferred.</li></ul>

Responsibilities: <ul><li>Originate, source and screen new investment ideas, proposals, and opportunities.</li><li>Source and attract interested investors from local and international markets including public and private sectors.</li><li>Review market opportunities, market economics, investment feasibility.</li><li>Analyze and evaluate economic feasibility of investments in different sectors.</li><li>Develop value proposition and establish the business case for new investment opportunities.</li><li>Evaluate Strategic and comparative positioning and identify Risks &amp; Constraints.</li><li>Review the strategic fit to the company and validate assumptions and data accuracy.</li><li>Develop the investments scope, deliverables and milestones.</li><li>Review and validate valuation techniques and evaluate various forms of partnerships and equity structures including joint venture and other forms of partnerships.</li><li>Develop, assess and evaluate different investment scenarios and their impact on the feasibility of investment opportunities.</li><li>Review and analyze partner’s financial fit.</li><li>Engage and lead negotiations of heads of terms with potential partners.</li><li>Develop, review and negotiate financing strategies and packages for different investments.</li><li>Advise, council and coach colleagues and junior members of the team in all aspects related to deal making.</li></ul> Requirements: <ul><li>Bachelor’s degree in Finance, Business; advanced degree in business administration (MBA) is highly desirable.</li><li>Professional certification in finance such as CFA are highly desirable.</li><li>10 years of experience in finance or business fields, including at least 3 in investment reviews, investment banking, financial institution or business development (on the deal making side). Preference is if the practice area is in the sectors of sustainability, Digital, industrials, Manufacturing or Social. A proficiency in financial modeling is desired.</li><li>Strong written and oral communication skills and ability to communicate complex technical and commercial concepts in a clear and succinct matter</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>

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>

Job description: <ul><li>In this role, you will be responsible for Mobile ultrasound (Human &amp; Vet) for the company wherein Malaysia (70%) and Singapore (30%), reporting to the business manager.&nbsp;</li></ul> Responsibilities: Sales Management (50%): <ul><li>Manage the sales and KPI performance of the appointed trading partners</li><li>Work together with the product specialists to ensure that the team achieves maximal sales and market share</li><li>Participate in developing territory sales targets and resource allocation</li><li>Determine the sales team configuration to maximize territory sales targets and potential</li><li>Accountable to manage the key accounts in both private and institutions. Build strong business partnership towards product advocacy.</li><li>Ensure effective implementation of promotional messages with reference to cycle bulletin and customer needs</li><li>Regularly analyse team performance qualitatively &amp; quantitatively against KPIs, identify improvement areas to drive corrective actions and provide coaching to improve performance.</li></ul> Marketing Planning and Implementation (50%): <ul><li>Strategic planning and leadership to drive brand performance in ensuring successful market penetration (Pre launch preparedness and go to market strategies)</li><li>Develop programs to maximize reach to the intended target audience (educational workshops, product demonstrations and trainings)</li><li>Development of the annual brand business and budget plan, strategy &amp; objectives</li><li>Develop and plan resource allocation effectively to address changing market dynamic and competitions</li><li>Create and enhance relationships, internal and external, that contribute towards establishing the brand (key customers, thought leaders, associations and industry players) and implement establish KOL strategy</li><li>Manage brand budget efficiently</li><li>Timely development of promotional program/ materials that enables effective delivery of marketing messages.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Science. Proficient in English.&nbsp;</li><li>Minimum 2 to 6 years of relevant experience in marketing and sales.</li><li>Has experience working as marketer in medical devices MNC companies.</li><li>Has knowledge in these key healthcare channels: GP, private hospital, public hospital</li><li>Customer focused with strong interpersonal skills and able to illustrate agility to work and manage cross-functional teams.</li><li>Able to demonstrate new pilots in the areas of digital and analytics</li><li>Detail oriented and having the ability to actively listen.</li><li>Solid communication skills including presentation, verbal and written abilities. Shortlisted candidates are required to do a business case project.</li><li>Strategically focused, results oriented with strong problem-solving skills.</li></ul>

Responsibilities: As the successful candidate you will required to perform the following: <ul><li>Monitor facility operating and business plans objectives to ensure we are consistent and in-line with environmental protection policy and all applicable environmental policies, GIs and standards.</li><li>Identify deviations and develop solutions to environmental problems to ensure mitigation of facilities environmental risk and improve compliance to company and governmental environmental regulations.</li><li>Develop, review and implement Green House Gas management program including GHG data collection, analysis and reporting.</li><li>Conduct internal GHG assurance audit and provide support in preparation of facilities GHG 3rd party audits.</li><li>Monitor the solids and chemical disposals to guarantee a safe environmental protection in compliance with governmental regulations.</li><li>Monitor air quality, waste water and water conservation performance.</li><li>Establish environmental KPIs targets in alignment with company environmental policies and strategies.</li><li>Develop, review and deployment of facilities environmental management system in alignment with ISO 14001.</li><li>Develop and maintain Environmental procedures and guidelines.</li><li>Analyze and monitor facilities environmental performance on daily basis and conduct environmental audit.</li><li>Conduct internal environmental performance benchmarking studies among the oil and gas refineries.</li><li>Develop and deliver training material to promote environmental awareness among refinery personnel.</li></ul> Requirements: <ul><li>You must hold a Bachelor degree in environmental or chemical engineering from a recognized university/college and approved program.</li><li>Strong management and coordination skills, EPI/QEP certified professional is preferred.</li><li>You should have a minimum of 23 years’ work experience in the Oil and Gas sector specifically in Refining, Chemical and/or NGL Fractionation Process.</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>

Responsibilities: <ul><li>Provide technical support for petrochemical unit’s operation readiness, pre-commissioning&nbsp;and commissioning including start-up philosophy and spare part requirements.&nbsp;</li><li>Develop coherent electric equipment specification and data sheet like EHV GIS/AIS Switchgear, Power Transformers, large synchronous/induction motors, HV/LV Switchgears and Control gears, EHV/HV/LV Cables, Bus ducts, EHV GIBs, UPS, Battery Charger, NGR and Panel boards requirement.</li><li>Participate in Electrical Power system studies including Short Circuit, Load Flow analysis, Motor starting, Arc Flash Hazard, Relay coordination and setting using ETAP software.</li><li>Develop and review electrical engineering calculations like Grounding, Earthing, Battery charger, Battery sizing, Transformer sizing, Cable sizing, Electrical Load schedules, Lighting.</li><li>Develop and review Single line diagrams, protection and metering schemes, motor schematics, Electrical Equipment layouts, plant cable routing layouts, lighting and grounding layouts, area classification drawings, substation automation architecture, synchronizing and bus changeover schemes.</li><li>Provides guidance on standards development through technical committee participation. Interprets standards, industry codes (such as NFPA, ANSI IEEE, IEC, API, NEC and NACE) and recommends changes to reduce costs associated with overly stringent requirements.&nbsp;</li><li>Develop and implements strategies and programs to enhance plant availability and to reduce operating and maintenance costs; this includes the application of new technology</li><li>Participate in petrochemical unit’s process optimization and synergy between refinery and petrochemical</li><li>Provide critical electric equipment design review, assessments, RFI’s response, scope of work, vender selection, instruments automation packages, and technology evaluation.</li><li>Review and update refinery and petrochemical redline drawings.&nbsp;&nbsp;</li><li>Provide technical support for capital projects involving petrochemical units at various stages of the project life cycle (pre-feasibility, feasibility, Pre-feed, feed basic design, detailed engineering and construction).</li><li>Researching new technologies, innovative smart sensing solutions, regulations, and other factors that may affect business model and reliability.&nbsp;</li><li>Strong experience in Refinery-Chemicals integration strategies, competitiveness and benchmarking&nbsp;&nbsp;</li><li>Conducting research on competitors to identify opportunities for new products.</li><li>Provide technical input to LP and economics modeling and capital efficiency.</li><li>Provide insights and recommendations in the financial models output and ability to guide management to select the best configurations for LTC projects cases.</li><li>Deliver the tools, templates and systems to ensure the safe, passionately and flawlessly delivery of the project.</li><li>Liaison between Project Management and technical disciplines to achieve integration across all project disciplines.&nbsp;</li><li>Ensure scope, risk and interfaces are captured, manage Interfaces between internal and external parties and documented.&nbsp;</li><li>Participation in all project studies such as HAZOP, SIL Study and HSSE</li><li>Develop Construction System Turnover plan for Project</li><li>Develop system-level sensor architecture design with hardware and software interfaces for various applications.</li></ul> Requirements: <ul><li>Bachelor’s degree in electric engineering preferred advanced degree.</li><li>At least 15 years of experience with a focus in the Refining &amp; Petrochemicals Operation.&nbsp;</li></ul>

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435 develop algorithms Jobs found

Computational Geophysicist

Machine Learning Scientist

Business Development Specialist (New Energy)

Business Development Specialist (IIP)

Data Science Manager

ASC - Downstream Data Scientist

Sales & Product Manager / Product Manager- Medical device (Human & Vet)

ASC- Environmental Engineer

Data Engineering Management Expert (TOC)

Electrical Engineer

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435 develop algorithms Jobs found

Computational Geophysicist

Machine Learning Scientist

Business Development Specialist (New Energy)

Business Development Specialist (IIP)

Data Science Manager

ASC - Downstream Data Scientist

Sales & Product Manager / Product Manager- Medical device (Human & Vet)

ASC- Environmental Engineer

Data Engineering Management Expert (TOC)

Electrical Engineer

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

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