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
Company Info.
Shell plc
Shell plc is a British publicly traded multinational oil and gas company headquartered at Shell Centre in London, United Kingdom. Shell is a public limited company with a primary listing on the London Stock Exchange and secondary listings on Euronext Amsterdam and the New York Stock Exchange.
Get Similar Jobs In Your Inbox
Shell plc is currently hiring Data Scientist, Retail Intelligence Jobs in Chennai, Tamil Nadu, India with average base salary of ₹90,000 - ₹250,000 / Month.