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Shell Business Operations
Data aktualizacji: 2019-08-13
Team Lead - Data Science
Nr ref. 111617BR
Kraków, małopolskie
IT, BPO/SSC, Analiza
Data aktualizacji: 2019-08-13
Shell Business Operations
Team Lead - Data Science
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 six Business Service 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.

Team Lead - Data Science
Team Lead - Data Science
Work location: Kraków

Job description:

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 small team of data scientists delivering advanced analytics projects for different businesses within Shell. The individual will join a growing global data science organization spanning both on/offshore.
Incumbent is responsible for leading and executing analytics projects in a business, collaborating with different business stakeholders and other partners, support the implementation of insights to realize tangible value for Shell, manage a team of data scientists (up to 5) and working across a range of technologies and tools.
The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning), brings domain expertise, has applied those skills in solving real world problems across different businesses / functions and has managed small teams in delivering insights.


 

Purpose

Lead the execution of analytics projects within the portfolio
Design and articulate the data science solution relevant to the business problem / opportunity
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
Provide support to the business value manager in managing the portfolio


 

Dimensions

Execute analytics projects across businesses or function
Projects are in or span UI, UA, DS, P&T and Central Functions organizations with the purpose to enable better utilization of information from data analytics for better decision making and hence more value for Shell.


 

Special Challenges

Deliver practical working solutions from a new and developing conceptual area.
Develop understanding of data analytics in colleagues to the level they each require recognizing that level is very different for different stakeholders and project team members.
Virtual working with network of colleagues located throughout the globe

 

Requirements:

 

Industry / Functional Expertise

Provide deep business expertise preferably Oil & Gas - Upstream or Downstream businesses. (If these are not available, willing to consider other industries that are similar or related - manufacturing, mining, power generation, etc.)
functional expertise in any one or more of the following industry / functional areas
 
Supply Chain / Spend: Demand & Supply Forecasting, Spend Analytics, Vendor Scoring, Pricing analysis (buy-side), product substitution analysis, product portfolio optimization, Tail spend analysis, logistics / network / route optimization, Contract Compliance
Functional Analytics: Order-to-cash, Procure-to-Pay, Record-to-Report, Tax (Direct & Indirect), Financial Risk and Assurance (controls and governance), Master Data Management, Inter-group / Intra-group
Proficiency Level: Skill-to-Mastery


 
Modeling and Technology Skills

Deep expertise in machine learning techniques (supervised and unsupervised) statistics / mathematics / operations research including (but not limited to):
Advanced 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
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
Strong experience in specialized analytics tools and technologies (including, but not limited to)
Python, R
Spotfire, Power BI Tableau, QlikView.
Process Mining – Celonis, Process Gold, ProM, Disco
Alteryx, Neo4j, Splunk
Awareness of Data Bricks, Apache Spark, Hadoop
Awareness 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

 

Number of Vacancies: 1

 

Benefits of working at Shell:
  • Meaningful work in a company that is universally respected as a truly global energy leader (one of the world’s biggest companies according to Fortune Global 500)
  • Unique opportunity to fulfill your potential with personal and professional development programs
  • Work in a smart and motivated team within a supportive and inclusive culture with strong values
  • Attractive salary and bonuses
  • Complex medical care and individual life insurance
  • Sports programme & facilities e.g. Multisport Benefits Card, vouchers for free time activities
  • Good atmosphere at work and comfortable working environment: own canteen and a few relax rooms
  • Opportunity to participate in social and community projects

Shell is an Equal Opportunity Employer