Shell is Hiring Data Scientist – Marketing Analytics

Shell is Hiring Data Scientist – Marketing Analytics

• 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.

Job Role and Responsibility

• 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

Skills Required that will help succeed

• 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.

• 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)

• 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

• 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

Recruitment Details

Company Name	Shell
Company Website	https://www.Shell.com
Job Role	Data Scientist – Marketing Analytics
Job qualification	BACHELOR OF ENGINEERING
Work Experience	4 years
Salary	Best of Industry
Job Location	Bengaluru