[New Job Vacancy] job in Shell, (Chennai, Tamil Nadu) – Jobs in Chennai, Tamil Nadu

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Job Opening details:-
Company Name :-
Shell
Position Name :-

Company Location :-
Chennai, Tamil Nadu
Job Category :
 General jobs

Full Job Description :-
The Role
General Position Definition
Incumbent is responsible for developing analytical models for projects collaborating with different business stakeholders & other partners 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) and has applied those skills in solving real world problems across different businesses / functions.
Purpose
Develops analytics models using specialized tools based on the business problem and data available
Identifies the right set of models and develops the right code / package to execute them
Evaluates the validity of the model (both scientifically as well as from a business perspective)
Support the Data Science Team Lead in design and execution of analytics projects
Work with Shell stakeholders and subject matter experts to complete tasks and deliverables on projects
Skills
Stakeholder Engagement Skills
Working collaboratively across multiple sets of stakeholders – business SMEs, IT, Data teams, Analytics resources, etc. to deliver on project deliverables and tasks
Identify actionable insights that directly address challenges / opportunities
Articulate business insights and recommendations (based on model output) to respective stakeholders
Understanding business KPI’s, frameworks and drivers for performance
Proficiency Level:Skill
Education Requirement/Field of Study :
3+ years of relevant experience in Retail domain
Advanced university degree in Mathematics, Statistics, Engineering, Economics, Quantitative Finance, OR, etc.
Good interpersonal communication skills and influencing skills
Eagerness to learn and ability to work with limited supervision
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.)
or
functional expertise in any one or more of the following industry / functional areas
Customer / Marketing– pricing analytics, churn prediction, cross-sell / up-sell, Market Basket Analysis, Product Recommendation, Marketing Mix Modeling, Campaign design and effectiveness testing, Network Modeling, Customer segmentation, propensity analysis, customer lifetime value, profitability analysis, Customer experience (incl. voice of customer), CRM, Loyalty program management,
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
Proficiency Level:Mastery
Modeling and Technology Skills
Good 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
and/or
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
and/or
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
Strong experience in specialized analytics tools and technologies (including, but not limited to)
Python, Azure Analysis Services
Spotfire, PowerBI
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
Proficiency Level:Skill-to-Mastery
Special Challenges
Rapid onboarding on projects, understanding analytics goal and working with ill-defined datasets
Communicating technical jargon in plain English to colleagues within Data Science team and outside
Virtual working with network of colleagues located throughout the globe
Disclaimer
Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Royal Dutch/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.

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