Data Scientist - Retail

Location: Chennai, Tamil Nadu

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The Role

General Position Definition

  • This role will drive analytics and data science for one or more of Shell’s Retail business teams
  • The ideal candidate is passionate about delivering commercial value and insights through Retail Analytics and Data Science
  • We help the business team’s answer some of the following questions:
    • What is the right assortment and mix of products to drive category growth?
    • How responsive are our products to price changes?
    • Which of our competitors impact our sales and pricing?
    • How can we improve the customer experience at our outlets?
    • Which customers are most likely to churn?
  • Candidate should be able to ask the right questions, ability to move from data to insight to action, break down strategic & operational questions from different Retail teams and structurally answer them with data driven insights
  • Incumbent is responsible for working on a range of technologies and tools collaborating directly with the Retail stakeholders & other partners

Education Requirement/Field of Study :

  • Minimum 5-7 years of relevant experience in Retail Analytics
  • Preferred experience in Retail, CPG or E-commerce
  • Good interpersonal communication skills and influencing skills
  • Eagerness to learn and ability to work with limited supervision
  • Advanced university degree in Mathematics, Statistics, Engineering, Economics, etc.

Requirements : Skills

Industry / Functional Expertise

  • Provide deep business expertise in Retail/CPG businesses:
    • Category Analytics:Range reviews, Assortment planning, identifying trends and patterns in category performance, new product launches
    • Pricing Analytics:UnderstandingPrice elasticity, evaluating impact of competitor pricing, impact of pricing changes on margins
    • Marketing and Promotion Analytics: Campaign design and promo effectiveness testing, churn prediction, cross-sell / up-sell, Market Basket Analysis, Customer segmentation, propensity analysis, customer lifetime value, market mix modeling
    • Store Analytics:Leverage data and visualization to create actionable insights for on ground store teams, territory and district managers
  • Should have strong story telling skills: Ability to explain complex data and models to business teams
  • Proficiency Level:Mastery

Stakeholder Engagement Skills

  • Working collaboratively across multiple sets of stakeholders – business SMEs, IT, Data teams, Analytics resources to deliver on project deliverables and tasks
  • Identify actionable insights that directly address Retail Team’s challenges / opportunities
  • Articulate business insights and recommendations to respective stakeholders
  • Understanding business KPI's, frameworks and drivers for performance
  • Proficiency Level:Mastery

Technology Skills

  • Strong experience in specialized analytics tools and technologies (including, but not limited to)
    • Azure Databricks, Alteryx
    • Power BI, Spotfire or other visualization tools
    • Python, R
  • Statistics / Machine Learning: Data Quality Analysis, Exploratory data analysis, Hypothesis testing, Univariate / Multivariate Analysis, Classification/PCA, Factor Analysis, Linear Modeling, Affinity & Association, Time Series, Decision Trees, sentiment analysis, Clustering
  • Identify the right approach(es) for given scenario and articulate why the approach fits
  • Assess data availability and modeling feasibility
  • Proficiency Level:Skill-to-Mastery

Special Challenges

  • Easily analyzes, draws and synthesizes important insights from complex data.
  • Extremely curious and self-driven to understand business performance through data.
  • Ability to translate a business question into a well-defined analytical plan that includes data requirements for technical resources to extract the necessary data.
  • 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


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.

*** Mention DataYoshi when applying ***

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