Data Scientist Job opening in Shell, (Chennai, Tamil Nadu)

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Job Details
Company Name :
Company Location :
Chennai, Tamil Nadu
Job Position :
Data Scientist
Job Category : Jobs in Chennai

Job Description :
The Role
Data Scientist (Marketing Analytics)
Job Group Level: 5
Job Location: Chennai/Bangalore
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. Their initial primary focus will be the development and maintenance of marketing analytics models, specifically MMM, but there will be some variety in the use cases the candidate will be required to work on.
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, with a particular focus on marketing analytics
The role involves close collaboration with the global marketing analytics lead to work with markets to build and maintain data science models to provide marketing insights to the business.
Develops analytics models using specialized tools based on the business problem and data available to provide valuable marketing analytics solutions to the business needs.
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 Lead & Digital Product Owners in design and execution of analytics projects
Work with Shell stakeholders and subject matter experts to complete tasks and deliverables on projects
Works closely with the marketing analytics lead and with marketing and sales stakeholders in the business to ensure that models meet business needs
Stakeholder Engagement Skills
Working collaboratively across multiple sets of stakeholders –business SMEs, Digital Product Owners, IT, Data teams, Analytics professionals, data engineers etc. to deliver on project deliverables and tasks,
Identify actionable insights that directly address challenges / opportunities
Understanding business KPI’s, frameworks and drivers for performance
Articulate business insights and recommendations (based on model output) to Senior business stakeholders through presentations
Manage and drive the data collection part and setup guidelines on the data format.
Proficiency Level: Skill
Industry / Functional Expertise
Industry Experience in Oil & Gas – Downstream business or other Mobility business would be desirable.
Functional expertise in
Hands-on experience in Marketing Mix Modelling at least 2 years required
Strong experience in other areas of Marketing Analytics domain would be essential:
Customer / Marketing – any of: Channel Attribution Studies, Campaign, pricing analytics, churn prediction, cross-sell / up-sell, Market Basket Analysis, Product Recommendation, 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, KPI frameworks for measuring campaigns, digital analytics (or similar use cases)
Proficiency Level: Skill
Modeling and Technology Skills
Deep expertise in machine learning techniques (supervised and unsupervised) statistics / mathematics / operations research including:
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
Advanced Machine learning techniques: Decision Trees, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction / engineering
Strong experience in specialized analytics tools and technologies:
Python – Essential
R & Power BI/other visualization experience – Desirable
SQL – Ideal
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 and present them
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
Appreciation of how to apply marketing analytics to a (largely) B2B business context
Up-skill data science team with specialized MMM knowledge.
Support design and delivery of analytics projects, within Downstream or cutting across other business units within Shell
4+ years of relevant experience (Practical 2+ years’ experience in marketing mix modelling)
Advanced university degree in Mathematics, Statistics, Engineering, Economics, Quantitative Finance, OR, etc.
Excellent written and verbal communication skills
Good interpersonal communication skills and influencing skills & Client result oriented
Quick to learn technologies and ability to work independently

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