Data Scientist - Mobility/Retail

Key Skills

Alteryx, Azure, Data science techniques, Data Visualization, Databricks, Deep Learning, Effective communication skills, Machine learning techniques, PowerBI, Python Programming, R Programming, Spotfire

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