Data Scientist - Mobility/Retail



Data Science
Multiple locations
Posted on Tuesday, August 8, 2023
, India

Job Family Group:

Research and Development

Worker Type:


Posting Start Date:

July 25, 2023

Business unit:


Experience Level:

Experienced Professionals

Job Description:

  • Works independently with Business stakeholder and deliver Data Science projects, which requires the job holder to apply a combination of applied and theoretical knowledge within a well-defined scope. Has knowledge about a specific discipline and may coach less experienced colleagues.

  • Works with data and technology experts to help execute analytics projects and deploy solutions.

  • Develops optimal analytical models that address the business requirement, with acceptable levels of accuracy.

  • Writes efficient code that incorporates best practices in that technology.

  • Supports the design and delivery of analytics projects, within or cutting across different business units in Shell.

  • Hands-on experience working with large and often complex data, also should have strong analytical skills and story-telling skills to evaluate and interpret trends and summarize them in a great story

  • The incumbent should work closely with the stakeholders day-to-day and will be the technical specialist for the business across the solutioning journey: ask the right questions, ability to move from data to insight to action. Break down strategic & operational questions from different teams, structurally answer them with data driven insights / advanced analytics solutions, responsible for implementation and tracking of results.

Required Skills and Experience

  • 5+ years of relevant experience in Analytics / Data Science

  • Broad experience and knowledge in Machine Learning

  • Preferred experience in Retail, CPG or E-commerce

  • Preferred experience in Pricing

  • Expert in Databricks

  • A practical common-sense approach to problem solving and attention to detail

  • A passion for and expertise in practicing data science to solve real-world customer problems

  • Excellent oral and written communication skills

  • Strong interpersonal skills, influencing skills and enthusiasm for teamwork, as well as the ability to work independently

  • High standards of code quality, making use of version control tools

Skills - Industry Expertise

  • Provide deep business expertise in Retail/CPG businesses in atleast one of the below areas:

    • 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

  • 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

  • Expertise in ML/DL techniques: Regression, Classification, Clustering, Dimensionality Reduction. Familiar with Forecasting, Natural Language Processing, Affinity & Association, Optimization

  • Identify the right approach(es) for given scenario and articulate why the approach fits

  • Assess data availability and modeling feasibility

Proficiency Level: Mastery



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