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Data Scientist

Chennai - RMZ Millenia

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Data Scientist

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Reference ID 138562BR_EN Updated 24/04/2020 Employment Type Full Time Experience level Experienced Professionals
Country India City/State Chennai - RMZ Millenia Work Location Chennai - RMZ Millenia

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 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 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.
Develops analytics models using specialized tools based on the Digital business problem and data available
Focus on capturing customer’s online behaviour across the Retail digital channels to help harness data as a strategic asset and drive business value.
Working directly with the IT and business leads, project managers and vendors to understand requirements and assist with digital analytics tagging deployment. This may include working with different projects to align requirements across programs and span multiple stakeholder groups.
Identifies the right set of data & 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
Stakeholder Engagement Skills
Working collaboratively across multiple sets of stakeholders – business SMEs, IT, Data teams, Analytics, vendors, resources, etc. to deliver on project deliverables and tasks
Identify actionable insights that directly address challenges / opportunities
Articulate business insights and recommendations to respective stakeholders
Understanding business KPI's, frameworks and drivers for performance
Consultation on measurement plans and analytics best practices.
Communication skills for managing stakeholder expectation on deliverables.
Proficiency Level: Skill
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
Customer / Marketing – customer experience 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,
Digital Product – Experienced in Adobe analytics and customer online behavior tracking including:
Adobe analytics – advanced user (Workspace, datawarehouse, tagging knowledge)
Tagging debuggers and strong understanding of how this impacts AA and how to fix and communicate with implementation team - MUST
Configuration of Adobe Analytics Report suites & technical debugging - MUST
QA data capture and mapping into the Report suites - MUST
Ability to extract actionable insights MUST
Support technical definition of measurement frameworks and reporting the different Customer Value Propositions contained within the Digital Channels - MUST
Manage effective customer online segmentation and profiling for use within the optimization services – Nice to have
Support configuration of Data Feeds/Exports and general ETL of data passing between AEC and Shell solutions in line with applicable compliance procedures. - MUST
Help maintain the business focus on data quality in support of understanding the user experience. - MUST
Provide training and support to business stakeholders for online behaviour data i.e. training them to be self-serve for basic reporting or helping setup custom reports as needed - MUST
Lead on more advanced aspects of data ETL and visualisation (Domo) as needed - MUST
Identifying key online behaviour data elements associated with User Stories - MUST
Collaborate within a global team of Product Owners, Business Analysts and Project Managers to align product requirements - MUST
Working with business leads to develop/verify the business case for product enhancements; this will include research of online behaviour (past/present/future) and defining and tracking online success metrics
Supporting Business & Change Impact Assessments where required

Proficiency Level: Skill
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
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, R, Digital Analytics Tools
Adobe Analytics, Adobe campaign
Domo, Spotfire, Power BI, Qlickview
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
Leading design and delivery of analytics projects, within or cutting across downstream business units in Shell

The aim of the Shell Business Operations, Chennai is to provide the Group with operational excellence through highlighting and utilizing process improvements and functional efficiencies as well as by leveraging economies of scale. Currently, the Chennai centre provides a wide range of finance, accounting and business services to Shell operating companies across several business sectors globally.

Set up in September 2007, the Chennai centre has grown rapidly and now , in its fourth year of operations , it has crossed the 1600 staff mark. The centre is located in the  RMZ Millennia Business Park, where the Shell campus is a LEED Platinum building with world class infrastructure. The business is expected to grow further over the next two years and infrastructural additions to support this have been planned.

The main focus in Chennai is on Finance Operations which supports delivery of the global Finance functional plan. There is also a ‘Downstream India’ - Customer Services Team that handles lubricant depot ordering within the country. The Shell Business Operations (SBO Team) manages the centre facilities and supports business partners’ operations on site. There is a strong focus at SBO on safety & well being of staff and on its three core values: Compliance, Intervention & Respect.

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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