Data Scientist

ASC - Downstream Data Scientist

Senior Data Engineer

Data Engineer

ASC Petroleum Engineer (Economics & Strategy)

ASC - Business Sys Analyst I (AI)

ASC - Data Scientist

Senior Economist

Petroleum Engineer (Economics & Strategy)

Responsibilities: <ul><li>Implement business process improvements - automating manual processes, optimizing data delivery, redesign/restructure data and process flows for more efficiency.</li><li>Develop expertise and aim to become a subject matter expert on the entire data, analytics and process automation ecosystem.</li><li>Bridge process and technology gaps with innovative solutions using a variety of tools (e.g. Power Automate, Python, PowerApps, Selenium, SQL, UI Path etc.)</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data management.</li><li>Create visually appealing, intuitive and insightful dashboards and reports using data visualization tools (e.g. Power BI, Tableau).</li><li>Utilize statistical techniques to solve business problems and provide insights.</li><li>Present findings and recommendations to stakeholders in a clear and concise manner.</li><li>Collaborate with cross-functional teams to understand their data and process needs and provide analytical and digitization support.</li><li>Collaborate with DBAs, IT and Architecture teams as required</li><li>Be heavily involved in development and testing of newly integrated data sources and/or environments</li><li>Document data processes, methodologies, and analysis techniques for future reference and training purposes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Industrial Engineering or a related field.</li><li>2+ years of experience as a Data Analyst, Digital Transformation Analyst or in a similar analytical/technical role preferably in a procurement or supply chain environment.</li><li>Experience with automation tools such as Power Automate, PowerApps, UI Path, Python, Selenium etc.</li><li>Experience with creating and managing databases in AWS, SQL Server, Oracle etc. and working with APIs to integrate systems.</li><li>Possess transferrable programming skills in any language (e.g. Python, C++, JavaScript etc.)</li><li>Proficiency in SQL for database querying and manipulation.</li><li>Experience with statistical analysis software (e.g., R, Python).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Knowledge of Excel at an advanced level (Power query, macros).</li><li>Demonstrable willingness to learn new tools and technologies.&nbsp;</li><li>Strong analytical and critical thinking abilities.</li><li>Ability to explain technical processes to non-technical audiences.</li><li>Attention to detail and a proactive approach to problem-solving.</li><li>Ability to manage multiple projects and meet deadlines in a fast-paced environment.</li><li>Knowledge of machine learning algorithms and data modelling techniques.</li></ul>

Responsibilities:Formulate and lead multifaceted analytic studies against large volumes of data.Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.Lead all data experiments tasked by the Data Science Team.Coordinate with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.Develop methodology and processes for prioritization and scheduling of projects.Analyze problems and determine root causes.Define company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.Requirements:As the successful candidate you will hold a Bachelor degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. An advanced degree is preferred.You will have 5-7 years of professional experience in related fieldYou will have Proficiency with one or more programming languages (Java, C++, Python, R, etc.)You will be able to demonstrate experience applying data science methods to real-world data problemsYou will also have experience in utilizing visualization tools to take advantage of the growing volume of available information

Responsibilities:Data engineers need to write code to develop, maintain, and optimize data pipelines, as well as to implement data storage solutions and data processing systems. They typically use programming languages such as Python, Java, or Scala, along with big data technologies like Hadoop, Spark, and KafkaDesigning scalable data architecture that supports both transactional and analytical workloads. This involves understanding business requirements and translating them into technical solutions.Developing robust data pipelines to ingest, cleanse, transform, and aggregate data from various sources (internal and external). This includes both batch and real-time/streaming data processing.Integrating data from disparate sources and ensuring data consistency, integrity, and reliability across different systems.Requirements:5-8 years experience with GCP, Big Query, Data Fusion, Analytics Hub and DataFlowExperience leading othersExperience managing projectsExcellent written and verbal communication skillsTime ManagementAbility to work alone and with a teamAbility to mentor junior membersA Bachelor’s degree in MIS or mathematics, statistics, or computer science, international equivalent, or equivalent job experience

Responsibilities:Create automations that take data through the ETL (extract, transform, load) process, both for normal reporting and advanced analytics modelsCreate and maintain Azure Pipelines that ensure the transfer of data between different usesManagement of internal databasesProfiling Azure data setsData modeling using Azure platform toolsBuilding data architecture in AzureWorking with SQL databases for data extractionUsing Power BI to expose data to end usersCreating reports in Power BI according to business needsSupporting the business in their processesCollecting information and ensuring its accuracyRequirements:English language - advanced levelPC operating knowledge (MS Office) - advanced levelAnticipation, planning and strategic thinking skillsAnalysis and synthesis skillsGood at connecting and communicating with business to understand their needs and integrate in the solutions providedGrowth mindset and willing to developAzure DevOps AdvancedAdvanced SQLPower BI notes (nice to have)Python for Data Science (desirable)Statistics notes (nice to have)

Responsibilities:Carry out economic Modeling to support development as part of commerciality assessmentPerform economic evaluation to support fast-paced development decisions and work closely with support functions including Corporate Finance, Strategy and Reserves groupsCarry out Risk & Uncertainty assessment of technical and financial componentsPerform Specific scenario planning and sensitivity studies as directed by ManagementWork closely with multi-disciplinary teams to strategize and implement field development plansConversant with Reserves estimation, validation and booking for unconventional playsConversant with business planning process. Short- & Long-range planning, portfolio ranking.Provide economic & operational benchmarking of North American Unconventional PlaysDevelop and implement new work processes, best technical practices, governance and controlsCoach and mentor less experienced Saudi engineers and effectively explain ideas, concepts, and techniques. Represent Company in external forums.Requirements:Bachelor's degree in Petroleum engineering or related science as appropriate to the required discipline. An advanced degree in Petroleum Economics or Statistics would be an advantage.We are targeting 12-15 years’ experience with at least 5-8 years in unconventional plays including shale, tight sand or channel reservoir. Experience in unconventional hydrocarbon basins required. Preference will be given to candidates with experience in unconventional green field development. Knowledge of the following applications (or similar) is required: PEEP, MOSAIC, Enersight, PVTsim, ProjectRA and Spotfire.Essential Qualifications:Demonstrated ability to work in a fast-paced environment and handle ambiguity in analysis.Strong computer and Data analysis/Statistical skills, visualization with Spotfire.Proficient with economic sensitivities along with Business Planning acumen.Solid organizational and time management skills. Ability to work with limited data.Excellent written and verbal communication skills. Ability to generate Management Reports.Broad knowledge in drilling, stimulation and production technologies.

Responsibilities:Formulates and leads guided, multifaceted analytic studies against large volumes of data.Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.Leads all data experiments tasked by the Data Science Team.Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.Develops methodology and processes for prioritization and scheduling of projects.Analyzes problems and determines root causes.Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.Requirements:Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields5-7 years of professional experienceProficient with one or more programming languages (Java, C++, Python, R, etc.)Demonstrated experience applying data science methods to real-world data problemsExperience utilizing visualization tools to take advantage of the growing volume of available informationData Scientist Qualifications / Skills:Advanced analytical knowledge of dataConducting big data analysisData conditioningProgramming advanced computingDeveloping algorithmsDeveloping software and data modelsExecuting predictive analytics

Responsibilities: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.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.Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.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.Communicate technical concepts and findings effectively to both technical and non-technical audiences.Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.Organize and facilitate workshops with different users and consultants to document processes and drive transformation.Lead the delivery and execution of key digital initiatives.Participate in solutions development through projects and programs, collaborating with business and technology groups.Maintain, support and optimize digital solutions.Requirements: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. You will have six to eight years’ experience in Data Science, Artificial Intelligence and other related advanced analytics implementation of financial systems.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 requiredSkills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.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.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. 

Responsibilities:Will be required to perform the following:Design, develop, and deploy scalable data-driven solutions using Flask, integrating with Microsoft SQL Server.Lead projects involving NLP, LLMs, and Generative AI, delivering innovative solutions.Collaborate with cross-functional teams to understand business needs and translate them into technical specifications.Conduct advanced statistical analysis and predictive modeling to extract actionable insights.Develop intuitive front-end interfaces to present complex data in an accessible manner.Maintain and enhance back-end systems for optimal performance and scalability.Mentor junior team members and contribute to knowledge sharing within the team.Stay abreast of emerging trends in AI, machine learning, and software development.Requirements:The successful candidate should hold a Bachelor’s degree in in Data Science, Computer Science, or a related field from a recognized and approved program.Should have at least 5 years experience in Natural Language Processing, and at least a few years’ experience in Large Language Models in addition to:At least 5 years of professional experience in data science and full-stack development.Proficiency in Flask, Microsoft SQL Server, and front-end technologies.Proven expertise in NLP, LLMs, and Generative AI.Strong foundation in statistics, machine learning, and algorithm design.Excellent problem-solving skills and ability to think algorithmically.Strong communication skills, with the ability to translate complex concepts to non-technical stakeholders.

Responsibilities:Prepare socio-economic research conducted internally, and monitor and report on research published on areas of interest to DAD, such as Kingdom-wide and GCC economic developments.Analyze and assess economic data, research, policy, and present arguments in a logical manner and in line with economic theory.Competently use macroeconomic models and other statistical tools for scenario development.Assist DAD and our client management in responding to urgent economic questions and other requests/issues based on evidence and analysis.Assess market conditions as well as monitor and report relevant insights in the area of Saudi Arabia macroeconomics.Present economic data-analytics in formats that are understandable to stakeholders, other staff, and senior decision makers.Conduct bespoke economic analysis relevant to operational and policy issues.Provide economic advice, often within tight deadlines, for a variety of management issues, as well as long-term analysis and forecasts.Remain current with global and domestic developments in the fields of energy, economy, and policy; and discern implications of these developments on the domestic economy.Provide economic training relevant to staff involved in operations.Coach and mentor junior staff to assist with their development.Requirements:Masters in Economics, Econometrics, Statistics, or a related field. A Ph.D. is preferred.At least 10 years of proven professional experience in the area of economic research and analysis, preferably with a highly reputable firm or institution.Must be fully proficient with Microsoft Office applications, especially with Word, Excel, and PowerPoint.Must have operational knowledge of cutting-edge modeling and forecasting tools.Ability to work in multi-cultural and multidisciplinary teams.Ability to produce high quality reports, studies and presentations.Ability to deal effectively with other staff and with external stakeholders.Ability to represent DAD both internally and externally if needed.

Responsibilities:Carry out economic Modeling to support development as part of commerciality assessmentPerform economic evaluation to support fast-paced development decisions and work closely with support functions including Corporate Finance, Strategy and Reserves groupsCarry out Risk & Uncertainty assessment of technical and financial componentsPerform Specific scenario planning and sensitivity studies as directed by ManagementWork closely with multi-disciplinary teams to strategize and implement field development plansConversant with Reserves estimation, validation and booking for unconventional playsConversant with business planning process. Short- & Long-range planning, portfolio ranking.Provide economic & operational benchmarking of North American Unconventional PlaysDevelop and implement new work processes, best technical practices, governance and controlsCoach and mentor less experienced Saudi engineers and effectively explain ideas, concepts, and techniques. Represent in external forums.Requirements:Bachelor's degree in Petroleum engineering or related science as appropriate to the required discipline. An advanced degree in Petroleum Economics or Statistics would be an advantage.We are targeting 12-15 years’ experience with at least 5-8 years in unconventional plays including shale, tight sand or channel reservoir. Experience in unconventional hydrocarbon basins required. Preference will be given to candidates with experience in unconventional green field development. Knowledge of the following applications (or similar) is required: PEEP, MOSAIC, Enersight, PVTsim, ProjectRA and Spotfire.

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14 statistics Jobs found

Data Scientist

ASC - Downstream Data Scientist

Senior Data Engineer

Data Engineer

ASC Petroleum Engineer (Economics & Strategy)

ASC - Downstream Data Scientist

ASC - Business Sys Analyst I (AI)

ASC - Data Scientist

Senior Economist

Petroleum Engineer (Economics & Strategy)

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Data Scientist

ASC - Downstream Data Scientist

Senior Data Engineer

Data Engineer

ASC Petroleum Engineer (Economics & Strategy)

ASC - Downstream Data Scientist

ASC - Business Sys Analyst I (AI)

ASC - Data Scientist

Senior Economist

Petroleum Engineer (Economics & Strategy)

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.