Shell Business Operations

Data scientist - inventory analytics

Shell Business OperationsO firmie

Shell Business Operations

Czerwone Maki 85

Kraków

Royal Dutch Shell is a global group of energy and petrochemicals companies, operating in over 80 countries and territories and employing more than 90,000 people. Our core values of Honesty, Integrity and Respect for People define who we are and how we work. Royal Dutch Shell has developed a global network of Shell Business Operations to provide first-class services to Shell companies across the world.

Shell Business Operations (SBO) Krakow sits at the centre of Shell’s global businesses, providing an operational backbone to our essential business functions. Working in a vibrant community with strong values and a supportive culture, an SBO-Krakow job will offer the chance to build a lasting and meaningful career. As one of seven Business Operations centres, located worldwide, a job in Krakow will give you the chance to interact and work with people across the world, helping to deliver excellent support to business clients and internal stakeholders as well as advanced financial operations.

Shell is an Equal Employment Opportunity Employer of Minorities, Females, LGBT Equality and Individuals with Disabilities.

Thanks to cooperation with Shell you gain:

  • Comfortable working environment: Newly-built modern office with its own canteen, relax rooms, bike & car parking space
  • Yearly bonuses and lots of non-monetary benefits (e.g. MultiSport Card, vouchers for cultural and free time activities, 12 sport sections, and many more)
  • Complex medical care and individual life insurance
  • Additional funds for trainings and certifications
  • EuroShell Card
  • Bonus for referring your friend to work

People with disabilities are welcome to apply as we provide reasonable accommodations and assistive technologies for people with diverse disabilities.

Data scientist - inventory analytics
Miejsce pracy: Kraków
120747BR

Job Description

  • Lead the execution of analytics projects portfolio for inventory management to measure relevant inventory health indicators and visualize value opportunities;
  • Design and articulate the data science solution relevant to the business problem/opportunity in close collaboration with the MSC Inventory Planning Specialist.
  • Lead identification of appropriate data science models and evaluate their fitment for the available data;
  • Articulate the insights from the models in business-friendly language and explain the workings of the model for business adoption;
  • Analyse output data, translation of the data into compelling business cases and visualization of data in PowerBI and/or Spotfire; presentations of findings and recommendation to senior business stakeholders.
  • Work with Masterdata Lead for effective Management of Bill of Materials and relevant master data;
  • Drive full RDS Global materials data visibility of existing inventory footprint;
  • Work with IT and Digital and Innovation Lead to drive the development of relevant tools, data analytics and KPIs to support MSC inventory management.
  • Run stock analyses as a service to drive optimal inventory management;

Core skills

  • Bachelor or master’s degree in information technology, Mathematics, Engineering, computer science, business administration supply chain, or a related discipline.
  • Certified in Agile, SCRUM or Continuous Improvement (e.g. Lean Practitioner)
  • Preferably experience and/or certified in Supply Chain
  • Track record of successfully delivering high number of analytics projects in an industry / function (20-30 projects) both individually and through teams
  • Strong interpersonal communication skills and influencing skills
  • Deep understanding of industry / function and associated processes, data, and systems
  • A self-starter, able to work on initiative with a strong desire to learn
Modeling and Technology Skills
  • Deep expertise in machine learning techniques (supervised and unsupervised) statistics / mathematics / operations research including (but not limited to):
  • Statistics / Mathematics: Data Quality Analysis, Data identification, Hypothesis testing, Univariate / Multivariate Analysis, Cluster Analysis, Classification/PCA, Factor Analysis, Linear Modeling, Logit/Probit Model, Affinity & Association, Time Series, DoE, distribution / probability theory
  • Process Analytics Process Discovery / Mining, BottleNeck analysis, Confirmation Testing, Process Benchmarking, Gap-to-Potential Assessment, SAP Data Models, SAP Table Structures (across SAP Modules – 5-6 of the following: Purchasing, Inventory Management, Material Planning,, Material Requirement Planning (MRP), Warehouse Management, Shipping and transportation, Bills of Material (BOM), Sales and production Planning, Demand Management, Material Requirement Planning, Capacity Requirement Planning
  • Typically, each role will look at one of two of the above skills – not all of them
  • Strong experience in specialized analytics tools and technologies (including, but not limited to)
  • SAS, Python, R, SPSS (preferably two out of 4)
  • Power BI, Spotfire, Tableau, Qlickview
  • For Operations Research (AIMS, Cplex, Matlab)



 
Find out more
 
People with disabilities are welcome
 
 

Thanks to cooperation with Shell you gain:

  • Comfortable working environment: Newly-built modern office with its own canteen, relax rooms, bike & car parking space
  • Yearly bonuses and lots of non-monetary benefits (e.g. MultiSport Card, vouchers for cultural and free time activities, 12 sport sections, and many more)
  • Complex medical care and individual life insurance
  • Additional funds for trainings and certifications
  • EuroShell Card
  • Bonus for referring your friend to work

People with disabilities are welcome to apply as we provide reasonable accommodations and assistive technologies for people with diverse disabilities.

Data scientist - inventory analyticsNumer ref.: 120747BR

Job Description

  • Lead the execution of analytics projects portfolio for inventory management to measure relevant inventory health indicators and visualize value opportunities;
  • Design and articulate the data science solution relevant to the business problem/opportunity in close collaboration with the MSC Inventory Planning Specialist.
  • Lead identification of appropriate data science models and evaluate their fitment for the available data;
  • Articulate the insights from the models in business-friendly language and explain the workings of the model for business adoption;
  • Analyse output data, translation of the data into compelling business cases and visualization of data in PowerBI and/or Spotfire; presentations of findings and recommendation to senior business stakeholders.
  • Work with Masterdata Lead for effective Management of Bill of Materials and relevant master data;
  • Drive full RDS Global materials data visibility of existing inventory footprint;
  • Work with IT and Digital and Innovation Lead to drive the development of relevant tools, data analytics and KPIs to support MSC inventory management.
  • Run stock analyses as a service to drive optimal inventory management;

Core skills

  • Bachelor or master’s degree in information technology, Mathematics, Engineering, computer science, business administration supply chain, or a related discipline.
  • Certified in Agile, SCRUM or Continuous Improvement (e.g. Lean Practitioner)
  • Preferably experience and/or certified in Supply Chain
  • Track record of successfully delivering high number of analytics projects in an industry / function (20-30 projects) both individually and through teams
  • Strong interpersonal communication skills and influencing skills
  • Deep understanding of industry / function and associated processes, data, and systems
  • A self-starter, able to work on initiative with a strong desire to learn
Modeling and Technology Skills
  • Deep expertise in machine learning techniques (supervised and unsupervised) statistics / mathematics / operations research including (but not limited to):
  • Statistics / Mathematics: Data Quality Analysis, Data identification, Hypothesis testing, Univariate / Multivariate Analysis, Cluster Analysis, Classification/PCA, Factor Analysis, Linear Modeling, Logit/Probit Model, Affinity & Association, Time Series, DoE, distribution / probability theory
  • Process Analytics Process Discovery / Mining, BottleNeck analysis, Confirmation Testing, Process Benchmarking, Gap-to-Potential Assessment, SAP Data Models, SAP Table Structures (across SAP Modules – 5-6 of the following: Purchasing, Inventory Management, Material Planning,, Material Requirement Planning (MRP), Warehouse Management, Shipping and transportation, Bills of Material (BOM), Sales and production Planning, Demand Management, Material Requirement Planning, Capacity Requirement Planning
  • Typically, each role will look at one of two of the above skills – not all of them
  • Strong experience in specialized analytics tools and technologies (including, but not limited to)
  • SAS, Python, R, SPSS (preferably two out of 4)
  • Power BI, Spotfire, Tableau, Qlickview
  • For Operations Research (AIMS, Cplex, Matlab)



 

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