Data Scientist

Downstream Data Scientist

Engineer / Senior Engineer - Edge Analytic & Learning

Data Engineer

Python Developer

Data Science Manager

Lead Controls & Automation Engineer - New Development

Data Analyst

R&D Specialist

Machine Learning Engineering Manager

Role Description: <ul><li>Our client occupies a unique position in the global energy industry.</li><li>They are the worlds largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.&nbsp;</li><li>With their significant investment in technology and infrastructure, they strive to maximize the value of the energy they produce for the world along with a commitment to enhance our client value to society.</li><li>Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, they combine market discipline with a generations’ spanning view of the future, born of their nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources.</li><li>This responsibility has driven our client to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that they supply.</li></ul> Responsibilities: The candidate will be required to perform the following: <ul><li>Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.</li><li>Mine and analyze data from company data sources to drive optimization and improvement of product development, and business strategies.</li><li>Assess the effectiveness and accuracy of new data sources and data gathering techniques.</li><li>Develop custom data models and algorithms to apply to data sets.</li><li>Use predictive modeling to increase and optimize production facilities, revenue generation, and other targeted outcomes.</li><li>Develop testing mechanisms and test model quality and validate hypothesis accordingly.</li><li>Coordinate with different functional teams to implement models and monitor outcomes.</li><li>Develop necessary documentation as per established standards.</li></ul> Requirements:&nbsp; <ul><li>A successful candidate will hold a Bachelor’s degree in in data science, computer science, applied mathematics or a related field from a recognized and approved program.</li><li>A Master’s degree is preferred.</li></ul> The candidate will have: <ul><li>At least 5 years of experience in building time series forecasting models.</li><li>A strong expertise in data collection, cleaning, preprocessing, and wrangling.&nbsp;</li><li>Strong fluency in either R or Python, preferably both, and familiarity with golang is a plus.&nbsp;</li><li>Proficiency in visualization tools and packages; and in communicating data science topics to non-technical audience is a requirement.</li><li>Experience in time series forecasting models and in using technologies like LSTMs, Prophet, and time series analysis is a requirement.</li><li>Proficiency in using sklearn pandas, numpy, plotly, seaborn, and relevant R libraries if R is their preferred language is necessary.</li></ul> Working Environment:&nbsp; <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>At our client, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. 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.</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>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>

Responsibilities: <ul><li>To work with other stakeholders to design the data required for learning the device &amp; user behaviors.</li><li>To mine &amp; analyze the data available to understand the device and user behaviors.&nbsp;</li><li>To work with IoT cloud and data analytic teams to distribute the computation resource between cloud and edge.&nbsp;</li><li>To provide the best approach for the target applications, to train and implement the model into the edge device.</li><li>To continuously improve the model to enhance the user experience &amp; device productivity.</li><li>To closely tracking the R&amp;D results and to work with research institutions for projects.</li></ul> Requirements: <ul><li>University degree (MSc, MPhy or PhD) in data science, machine learning, statistic. Priority will be given to candidates with major in any of the 2 subjects.</li><li>3+ years experience in data analytic or machine learning for IoT applications, e.g. automatic temperature control for smart thermostats, predictive device maintenance, etc.</li><li>Solid knowledge in mathematics, statistic &amp; probability.</li><li>Solid experiences in data labelling, statistical modelling (regression, clustering), supervised &amp; unsupervised learning, DNN models for different applications.</li><li>Solid experiences in identifying valuable data, data collection method, processing of structured and unstructured data, mining trends &amp; pattern from data, predictive modelling.</li><li>Strong mindset of real-time implementation, to ensure the algorithm developed is realistic for real-time &amp; scalable applications.</li><li>Hands on experience in coding with Python, R, Java, C++.</li><li>Hands on experience in software tools, such as TensorFlow, PyTorch, Keras, Caffe, Spark, Hadoop, Hive, NoSQL.</li><li>Strong analytical &amp; innovative mindsets, strong system debug skill, thinking positive, be bumble &amp; open-minded.</li><li>A stakeholder in edge computing for the FW team and a good team player.</li><li>Good command of English and communication skill.</li></ul>

Responsibilities: <ul><li>Construct dataset stored procedures that can help with data mining, modeling, and production.</li><li>Perform ETL from Snowflake Data warehouse and Data Lake by ingesting, transforming, and delivering data for deeper insights.</li><li>Use of Python to code ETL frameworks, API interactions, automation, and data munging tasks such as reshaping, aggregating, joining disparate sources etc.</li><li>Hands-on experience using RDBMS SQL &amp; NoSQL databases like Oracle, SQL Server, Snowflake, MongoDB, DynamoDB etc.</li><li>Build pipelines with AWS Glue jobs, Cloud watch, Amazon Redshift and other stack services.</li><li>Utilize code (Python, R, Scala, SQL etc.) for analyzing data and building statistical and machine learning models and algorithms.</li><li>Create dashboard, Track, and report KPI / performance metrics to upper management.</li><li>Conduct Data quality check by reviewing existing data and reports and performance indicators trends.</li><li>Coordinate with Digital vertical for data pipelines development in data lake platforms for live data streams.&nbsp;</li></ul> Requirements: <ul><li>Experience :- 7 to 10 years.</li><li>Programming language mandate :- Python , C# and .NET.</li><li>AWS Cloud knowledge is must.</li><li>Should have working experience on ETL Tools.</li><li>Back-end experience :- SQL /MongoDB/DynamoDB.</li></ul>

Role Description: <ul><li>Our client is expanding its R&amp;D development team in Romania! To support the stronger demand for our data-driven solutions and as part of our strategy to expand, they are currently looking for a Mid Python Developer to be ideally based in Cluj-Napoca / Home Office or Remote possibility.</li><li>As a Mid Python Developer, you will work for Machine Learning projects, you will have an exciting opportunity to contribute to our core data management project and building innovative solutions leveraging machine learning techniques.</li></ul> Responsibilities: <ul><li>You will partner with Data Scientists to design, develop and maintain stable data and machine learning code relevant for each business case</li><li>You will collaborate with other software developers, QA engineers, product owners and software architects to plan, design, develop, test, and maintain business applications</li><li>You will assist in the collection and documentation of user’s requirements, estimate and work plans</li></ul> Requirements: <ul><li>You have a Bachelor of Computer Engineering, with multiple development experience, or a first professional experience within a data engineering &amp; science department</li><li>2-4 years of experience as Software Developer</li><li>You have experience in OOP programming</li><li>You have experience with good practice standards and code-production standards (usage of linters, unit/integration tests, etc.)</li><li>You are familiar with Rest APIs and relevant knowledge in Python (experience with either Flask or FastAPI)</li><li>Experience with big data processing technologies is a plus</li><li>A bonus would be experience with asynchronous programming</li></ul>&nbsp;We will inspire you with this: <ul><li>A committed, professional, and pragmatic team with short decision-making processes and flat hierarchies</li><li>An open and informal corporate culture with freedom and flexibility in daily activities and the opportunity to help shape the digital transformation of our company</li><li>The connection to a successful and internationally operating group of companies</li><li>Short decision-making processes, flat hierarchies, and room for the implementation of your own ideas are the order of the day with us</li><li>A challenging and varied job with professional development opportunities</li></ul>

Responsibilities: <ul><li>Work with 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>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.</li><li>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 cloud platforms (desireable experience with AWS).</li><li>Project Management &amp; communication skills.</li><li>Experience on Agile methodologies (SCRUM desirable).</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>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>

Responsibilities <ul><li>Analyze functional requirements, formalize their technical translations, and undertake the corresponding analytics solution and model developments.</li><li>Propose technical and sustainable solutions and support the generation of insights,</li><li>Identify and manage structured and unstructured information and considers information distribution policies.</li><li>Draw-up and/or supervise the documentation in compliance with the defined norms and standards.</li><li>Perform corrective/scalable maintenance of analytics models,</li><li>Participate in the definition of the business case, cost model and overall objectives for the project/program.</li><li>Define and monitor the project/program plan, budget, KPIs and metrics, activities, methodologies, resource, and responsibilities allocation (internal/external)</li><li>Use knowledge of analytics trends, developments, and practices to improve service.</li><li>Supervise the content and ensure its overall quality (if applicable)</li></ul> Requirements: Data-related technical skills: <ul><li>Data Visualization: Looker, PowerBI, Tableau</li><li>Interacting with Databases: SQL</li><li>Strong Excel skills</li><li>ETL software: Talend, Informatica, Dataiku, Knime</li><li>Programming languages: Python, R(Nice to have)</li><li>Understand Machine Learning algorithm (Nice to have)</li><li>Translation of business needs into processes and IT evolutions and design of functional requirements.</li></ul> Navigation within the organization: <ul><li>Business understanding</li><li>Has deep understanding of Organization &amp; Data Organization and System functional architecture.</li></ul> Soft skills: <ul><li>Teamwork / Adaptability</li><li>Clarifies and simplifies technical concept.</li><li>Decode and influence.</li><li>Able to identify &amp; propose new solutions (Problem solving oriented)</li></ul> Project management: <ul><li>Is skilled in Agile project management.</li><li>Ideation methods</li></ul>

Responsibilities: <ul><li>Identify the needs and gaps in the product portfolio along with the category managers (marketing)</li><li>Build the product portfolio to bridge the gaps and aligned to the portfolio planning.</li><li>Scout for advanced technologies and build technology partnerships (develop, acquire, partner) to build a rich IP portfolio for these category</li><li>Technology partner management</li><li>Compliance (products &amp; components) to relevant test protocols, safety standards and regulatory requirements</li><li>Identify/ Build the pool of suppliers of high quality products and critical components</li><li>Project Management activities</li></ul> Requirements: <ul><li>Working experience in water product category with exposure to Water purifiers and water filtration mechanisms</li><li>Understanding of the core concepts of water flow dynamics, water management, filtration systems and filter media&nbsp;</li><li>Fully conversant with emerging sub and the futuristic trends in domestic water segment.</li><li>Exposure to Smart &amp; connected products, Sensors, display to build products with self-diagnostic capabilities and data generation</li><li>Knowledge of regulatory &amp; safety requirements and test protocols as per Indian &amp; global standards</li><li>Creativity and analytical skills</li><li>Engineering graduate in Mechanical</li><li>Should have Good written/ oral communication skills, inter-personnel skills and Self-motivation.</li><li>A good team player, capable of handling and motivating a team for successful project delivery</li></ul>

Role: <ul><li>Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals.</li><li>Collaborate with product owners, data scientists &amp; analysts to identify innovative &amp; optimal machine learning solutions that leverage data to meet business goals.</li><li>Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework.</li><li>Scale the proven ML use-cases across the SAPMENA region.</li><li>Be responsible for optimal ML costs.</li></ul> Responsibilities: <ul><li>Deep understanding of business/functional needs, problem statements and objectives/success criteria</li><li>Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into machine learning problem statements and specific deliverables</li><li>Act as the ‘Conduit’ between product owners, data scientists, data analysts and data engineers to develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments</li><li>Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed</li><li>Act as ‘Owner’ of end-to-end machine learning systems and their scaling</li><li>Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving</li><li>Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX</li><li>Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs</li><li>Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops</li></ul>&nbsp;Requirements: <ul><li>Preferred education qualifications: Bachelor/ Masters degree in Computer Science OR Data Science OR Applied Mathematics OR related technical degree</li><li>Required experience: 8-10 Years</li><li>5+ years in developing and deploying enterprise-scale ML solutions</li><li>Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration),</li><li>Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction, deep learning, and ensemble</li><li>Proven expertise in Scikit-learn, XGBoost, LightGBM, TensorFlow</li><li>Prior experience on MLOps with Kubeflow or TFX</li><li>Advanced programming skills with Python/R and SQL</li><li>Prior experience on Data Science &amp; ML Engineering in public clouds (such as Google Cloud, AWS, Azure)</li><li>Strong technical understanding of Data &amp; Analytics concepts</li><li>Google Cloud Platform certifications (Professional Machine Learning Engineer) will be a big plus</li><li>Experience in Retail/FMCG domain is preferred</li><li>Experience in training with large volume of data (&gt;100 GB)</li><li>Experience in delivering ML projects using Agile methodologies is preferred</li><li>Proven ability to effectively communicate technical concepts and results to technical &amp; business audiences in a comprehensive manner</li><li>Proven ability to work proactively and independently to address product requirements and design optimal solutions</li><li>Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team</li></ul>

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94 r programming Jobs found

Data Scientist

Downstream Data Scientist

Engineer / Senior Engineer - Edge Analytic & Learning

Data Engineer

Python Developer

Data Science Manager

Lead Controls & Automation Engineer - New Development

Data Analyst

R&D Specialist

Machine Learning Engineering Manager

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94 r programming Jobs found

Data Scientist

Downstream Data Scientist

Engineer / Senior Engineer - Edge Analytic & Learning

Data Engineer

Python Developer

Data Science Manager

Lead Controls & Automation Engineer - New Development

Data Analyst

R&D Specialist

Machine Learning Engineering Manager

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