Data Scientist

ASC - Downstream Data Scientist

Senior Economist

Process Engineer Technical Operation

Applications Developer

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: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: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: Perform Tech Transfer activities for CMO products with minimum guidelines specifically for liquid, powder filling, soft gel and semi solid that consist of designing, planning, conducting review of pre-formulation, formulation, and process development activities as well as scale-up trials.Prepare and execute engineering study protocols, manufacturing and packaging experimental / feasibility study / validation batch records and protocols and complete interim and / or final summary reports for marketed and new products. Analyze statistical data from qualification, product or functional specifications to determine conformance with standards and established quality requirements.Write and execute experimental and validation protocols as per related SOPs and assure that acceptance criterion related to experimental and validation protocols are met.Write and execute experimental and validation reports as per related SOPs and assure that acceptance criterion related to experimental and validation reports are met.Initiate change control for new products, site transfer products and changes related to the process improvement with appropriate justification. Lead investigations, write investigation reports with appropriate scientific understanding, as required upon failures to meet protocol acceptance criteria.Author and review investigation reports, protocols, batch records and CMC documentation.Lead projects by use of appropriate project management tools, provide timely updates to management on the status of various projects.Lead and execute material changes, process changes and cost reduction projects.Performs other related duties as assigned.Provide technical training and assistance to others.Requirements:A Bachelor’s in Chemical Engineering preferred.Experience with manufacturing liquid, cream, gel, powder filling, soft gel etc preferred.Proficiency with statistics (using Minitab) preferred.Experience using Excel for data mining and analysis is must.

Responsibilities:Assists with Information Systems projects.Assists in system analysis and design.Designs and develops low to moderately complex applications.Generates application documentation.Supports integration builds.Assists with maintenance and support.Requirements:Azure Cloud, .NET core, Java, Python, Angular JS, SQL Server, CI/CD Technologies, Kubernetes.Secondary Skills:SAFe Framework, Scrum MastersBachelor’s Degree or International equivalentBachelor's Degree or International equivalent in Computer Science, Information Systems,Mathematics, Statistics or related field - Preferred

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Data Scientist

ASC - Downstream Data Scientist

ASC - Downstream Data Scientist

Senior Economist

Process Engineer Technical Operation

Applications Developer

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Data Scientist

ASC - Downstream Data Scientist

ASC - Downstream Data Scientist

Senior Economist

Process Engineer Technical Operation

Applications Developer

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

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