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Jawatan Kosong di Shell Business Operations - 30 April 2023

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Jawatan Kosong 2023 di Shell Business Operations | Permohonan adalah dipelawa daripada Warganegara Malaysia yang berkelayakan dan berumur tidak kurang dari 18 tahun pada tarikh tutup iklan ditawarkan untuk memohon jawatan kosong di Shell Business Operations


Positions:

1. DATA SCIENTIST

Job Highlights:

Safety Culture
Work Life Balance
Empowering Learner Mindset

Job Description

Where you fit

MCDS (Mathematics, Computational and Data Science) professionals work with data and mathematical and physics-based models for nearly all business units in Shell. The models and insights created support the business in finding hydrocarbons, running facilities, creating new products, and understanding customer needs and behavior.


What’s the role?

General Position Definition

Finance & Data Operations Data Science Team is tasked with delivering tangible value to business units within Shell through data-driven decision making.

This position is part of Finance & Data Operations Data Science team leading a team of data scientists delivering advanced analytics projects for different businesses within Shell. The individual will join a growing global data science team spanning both on/offshore.

Incumbent is responsible for supporting the development of analytical models for projects collaborating with different business stakeholders & other partners and working across a range of technologies and tools.

The ideal candidate has good background in quantitative skills (like statistics, mathematics, advanced computing) and has applied those skills in solving real world problems


Purpose
  • Support the Data Analytics team in design and execution of analytics projects
  • Work with data and technology experts to help execute analytics projects and deploy solutions

Accountabilities
  • Developing optimal analytical models that address the business requirement, with acceptable levels of accuracy
  • Writing efficient code that incorporates best practices in that technology

Role requirement

  • 2-5 years of experience in a hands-on analytics or research role
  • Advanced university degree in Mathematics, Statistics, Engineering, Economics, Quantitative Finance, OR, etc.
  • Good interpersonal communication skills
  • Eagerness to learn and ability to work under tight deadlines
  • Knowledge of forecasting
  • Commercial mindset (understanding of Energy industry is a bonus)
  •  Experience in the finance domain using analytics (bonus)
  • GitHub repo to showcase work
  • Familiarity with cloud technology, SQL, and object-oriented programming (bonus)
  • Understanding of finance and financial accounting (bonus)
  • Expertise in statistics and mathematics (helpful)
  •  Data quality analysis, hypothesis testing, and advanced timeseries forecasting techniques
  • Proficiency in other programming languages like C++, Java, and SCALA (bonus)
  • Well versed in Machine learning techniques: Decision Trees, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction / engineering, Anomaly deduction, Natural Language Processing (incl. Theme deduction, sentiment analysis, Topic Modeling), Natural Language Generation
  • Proficiency in Python. Typically, each role will look at one of two of the above skills – not all of them; SAS, Python, R. Sufficient experience in the any 1-2 of the following specialized analytics tools and technologies (including, but not limited to)

  • PowerBI, Spotfire, Tableau, QlikView
  • Process Mining – Celonis, PY4PM, PafNow, Mint, Process Gold (Anyone recommended)
  • Strong skills in SQL
  • Knowledge of Data Bricks, Apache Spark, Hadoop
  • Knowledge of Agile / Scrum ways of working
  • Identify the right modeling approach(es) for given scenario and articulate why the approach fits
  • Assess data availability and modeling feasibility 
  • Review interpretation of models results
  • Evaluate model fit and based on business / function scenario


2. CP LEAD PROJECTS

Job Highlights
  • Safety Culture
  • Work Life Balance
  • Empowering Learner Mindset


Job Description

Where you fit

MCDS (Mathematics, Computational and Data Science) professionals work with data and mathematical and physics-based models for nearly all business units in Shell. The models and insights created support the business in finding hydrocarbons, running facilities, creating new products, and understanding customer needs and behavior.

What’s the role?

General Position Definition
  • Finance & Data Operations Data Science Team is tasked with delivering tangible value to business units within Shell through data-driven decision making.
  • This position is part of Finance & Data Operations Data Science team leading a team of data scientists delivering advanced analytics projects for different businesses within Shell. The individual will join a growing global data science team spanning both on/offshore.
  • Incumbent is responsible for supporting the development of analytical models for projects collaborating with different business stakeholders & other partners and working across a range of technologies and tools.The ideal candidate has good background in quantitative skills (like statistics, mathematics, advanced computing) and has applied those skills in solving real world problems

Purpose
  • Support the Data Analytics team in design and execution of analytics projects
  • Work with data and technology experts to help execute analytics projects and deploy solutions

Accountabilities
  • Developing optimal analytical models that address the business requirement, with acceptable levels of accuracy
  • Writing efficient code that incorporates best practices in that technology

Role requirement
  • 2-5 years of experience in a hands-on analytics or research role
  • Advanced university degree in Mathematics, Statistics, Engineering, Economics, Quantitative Finance, OR, etc.
  • Good interpersonal communication skills
  • Eagerness to learn and ability to work under tight deadlines
  • Knowledge of forecasting
  • Commercial mindset (understanding of Energy industry is a bonus)
  • Experience in the finance domain using analytics (bonus)
  • GitHub repo to showcase work
  • Familiarity with cloud technology, SQL, and object-oriented programming (bonus)
  • Understanding of finance and financial accounting (bonus)
  • Expertise in statistics and mathematics (helpful)
  • Data quality analysis, hypothesis testing, and advanced timeseries forecasting techniques
  • Proficiency in other programming languages like C++, Java, and SCALA (bonus)
  • Well versed in Machine learning techniques: Decision Trees, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction / engineering, Anomaly deduction, Natural Language Processing (incl. Theme deduction, sentiment analysis, Topic Modeling), Natural Language Generation
  • Proficiency in Python. Typically, each role will look at one of two of the above skills – not all of them; SAS, Python, R. Sufficient experience in the any 1-2 of the following specialized analytics tools and technologies (including, but not limited to)
  • PowerBI, Spotfire, Tableau, QlikView
  • Process Mining – Celonis, PY4PM, PafNow, Mint, Process Gold (Anyone recommended)
  • Strong skills in SQL
  • Knowledge of Data Bricks, Apache Spark, Hadoop
  • Knowledge of Agile / Scrum ways of working
  • Identify the right modeling approach(es) for given scenario and articulate why the approach fits
  • Assess data availability and modeling feasibility 
  • Review interpretation of models results
  • Evaluate model fit and based on business / function scenario


3. CMMS ENGINEER

Job Highlights
  • Work-Life Balance
  • Safety Culture
  • Empowering Learner Mindset


Job Description

Where you fit

Technical Asset Operations (TAO) is a key enabler for the accelerated delivery of Shell’s Asset Management System and will help us to reach our ultimate potential in Downstream Manufacturing, Integrated Gas and Upstream. TAO provides high quality and cost-competitive technical resources who are not physically present at site yet are an integral part of asset teams delivering value through end-to-end AMS work processes.

What’s the role?
  • Deliver S4 Migration projects across Upstream, Downstream and IG - first time right
  • Support and provide guidance on function configuration in the SAP S/4HANA system as per the requirements of PM data objects.
  • Develop business rules and validation of values for each field and data object.
  • Manage the Project KPIs and Quality of the deliverables with regular stakeholder engagements.
  • Extracting data from existing legacy systems via customized T-codes or programs built in legacy system.
  • Transformation of the extracted data is altered into the format expected by SAP S/4HANA
  • Re-build Asset Hierarchy from legacy system (Blueprint, GSAP, Chemical, Crystal) as per ISO 14224
  • Develop automated mapping rules to adapt the extracted data to the SAP S/4HANA format
  • Develop and perform data quality checks as part of data transformation
  • Data cleansing by identifying the irrelevant data which not to be captured from transaction history available in legacy system.
  • PM Master data & planning data loading via automated programs in SAP S/4HANA
  • Provide support in planning and scheduling the PM Plans in SAP.
  • Ability to apply engineering best practices, codes, and standards to identify issues, recommend improvements, and implement solutions.
  • Excellent stakeholder management with business interface exposure
  • Strong interpersonal skills are critical due to the requirement for effective communication of complex issues across multiple offices and teams.

Role Requirement
  • University Degree in Mechanical/Electrical/instrumentation or other Engineering.
  • Required 5 yrs. of experience in Plant Maintenance area within a Manufacturing or Upstream environment as an engineering user of Computerized Maintenance Management Systems (CMMS) with tools experience in Web Integrity Management System (WIMS), SPI -IN tools and Engineering Document Management Systems (EDMS.)
  • Experience in Technical Data and Documents management including processes and tools.
  • Skill level in SAP PM Master data objects like Functional Location, Equipment, BoM, Class & Characteristics, Measuring Point, Work Center and Task List
  • Skill level in SAP PM Planning and Transactional Data Objects like Maintenance Plan, Maintenance Item, Notification, Work Order
  • Understanding of PM Data standards and industry standards such as ISO14224
  • Skill level in data conversion phases: extraction, transformation, and load.
  • Skill level in reading engineering drawings like PFS, PEFS, SLD’s
  • Project Management Skills (Project reporting)
  • Plant maintenance Experience preferably in Oil & Gas/ Heavy Engineering/Power Plant
  • PowerBI visualization, Data Modelling and SQL competencies is preferred

Makluman:

i. Permohonan untuk senarai kerja kosong di atas adalah melalui Jobstreet. Oleh demikian, anda dikehendaki mendaftar terlebih dahulu sebelum memohon. Tutorial mendaftar dan memohon ada admin sediakan di sini

ii. Jika sudah mendaftar, anda bolehlah memohon jawatan kosong di atas dengan menekan link yang admin sediakan di bawah. Semoga anda diberikan rezeki oleh Nya untuk memperoleh pekerjaan yang diidamkan. Aminn..


Close date : 29 - 30 April 2023




Jawatan Kosong 2023 di Shell Business Operations

Company Overview

Sime Darby Property was created through the integration of the property arms under the former Golden Hope Plantations Berhad, Kumpulan Guthrie Berhad, and Sime Darby Berhad. Our four-decade narrative exemplifies our belief in building a brighter future and reflects our commitment to meet the ever-evolving property needs of a developing Malaysia.

On the back of a successful 45-year track record of developing sustainable communities, we have to date built 23 active townships where generations of Malaysians live, work, and play in environments that are environmentally sensitive and supported by extensive facilities and infrastructure.

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