Job description:

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

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

Requirements:

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, NLP, NLG, ;

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, ;

Operations Research: Sensitivity Analysis – Shadow price, Allowable decrease or increase, Transportation problem & variants, Allocation Problem & variants, Selection problem, Multi-criteria decision-making, models, DEA, Employee Scheduling, Knapsack problem, Supply Chain Problem & variants, Location Selection, Network designing – VRP, TSP, Heuristics Modeling, ;

Risk: Simulation design and high-performance computing, GARCH modeling, Macro-economic / Market behaviour modeling ;

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: General Ledger Accounting, Accounts Payable, Accounts Receivable, Purchasing, Inventory Management, Material Planning, Invoice Verification, Material Requirement Planning (MRP), Warehouse Management, Vendor Valuation, Sales, Sales, Shipping and transportation, Billing or Invoice generation, Bills of Material (BOM), Sales Information system, Credit Control, Sales and production Planning, Demand Management, Material Requirement Planning, Capacity Requirement Planning

Strong experience in specialized analytics tools and technologies

SAS, Python, R, SPSS

Spotfire, Tableau, Qlickview

Ability to search, extract, load & visualize data from data bases using pre-defined reports and new ad hoc queries (using BI self service)

Proven ability to use visualization software packages – SAP Business Objects (must) and Spotfire, Tableau as an advantage and to make state of art presentations using MS ppt

Advanced skills in design of easy-to-use reporting and interactive dashboards in SAP Business Object

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 based on business/function scenario

2+ years in a global role or in various locations

Bachelors / Masters degrees in Mathematics, Statistics, Engineering, Technical Finance, Econometrics, or other quantitative areas

Good communication and influencing skills

Eagerness to learn and ability to work under limited supervision

A self-starter, able to work on initiative with a strong desire to learn

Number of Vacancies: 1

• 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