Data Scientist - Retail / Mobility

Job Family Group: Research and Development Worker Type: Regular Posting Start Date: Business unit: Finance 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 at least 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 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 Shell/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.