Data Scientist - Retail

Profile

, India

Job Family Group:

Research and Development

Worker Type:

Regular

Posting Start Date:

October 28, 2020

Business unit:

Experience Level:

Experienced Professionals

Job Description:

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


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DISCLAIMER:

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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