Data Scientist - Retail / Mobility

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
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

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.