Associate Data Scientist

Job description

Job Group Level: 6

Job Location: Chennai

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


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: Understanding Price 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


  • Minimum 3-5 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.
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