Associate Data Scientist

Business unit:

Experience Level:

Whats the role

Finance & Operations Data Science Team is tasked with delivering tangible value to business units within Shell through data-driven decision making.

This position is part of Finance & Operations Data Science team delivering advanced analytics projects for different businesses within Shell. The individual will join a growing global data science organization spanning both on/offshore.

Incumbent is responsible for developing analytical models for projects collaborating with different business stakeholders & other partners and working across a range of technologies and tools. Their initial primary focus will be the development and maintenance of marketing analytics models, specifically MMM, but there will be some variety in the use cases the candidate will be required to work on.

The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning) and has applied those skills in solving real world problems across different businesses functions, with a particular focus on marketing analytics.

The role involves close collaboration with the global marketing analytics lead to work with markets to build and maintain data science models to provide marketing insights to the business.

What you will be doing

• Develop analytics models using specialized tools based on business problems and provide valuable marketing analytics solutions to business needs.
• Identifies the right set of models and develops the right code package to execute them
• Evaluates the validity of the model (both scientifically as well as from a business perspective)
• Support the Data Science Lead & Digital Product Owners in design and execution of analytics projects
• Work with Shell stakeholders and subject matter experts to complete tasks and deliverables on projects
• Works closely with the marketing analytics lead and with marketing and sales stakeholders in the business to ensure that models meet business needs
• Working collaboratively across multiple sets of stakeholders business SMEs, Digital Product Owners, IT, Data teams, Analytics professionals, Data Engineers etc. to deliver on project deliverables and tasks.
• Identify actionable insights that directly address challenges opportunities
• Understanding business KPI's, frameworks and drivers for performance
• Use storytelling skills to articulate business insights and recommendations (based on model output) to business stakeholders through presentations
• Manage and drive data collection from internal databases, validation and processing with the help of Data Engineers.

What you bring

• Bachelor's Degree in Mathematics, Statistics, Engineering, Economics, Quantitative Finance, OR, etc.
• Overall 3+ years of experience in Data Science, Analytics, ML
• 2+ years of hands-on experience in Marketing Mix Modelling required
• Good knowledge of Marketing domain, ATL/BTL marketing and clear understanding of concepts like adstock/carryover, saturation etc.
• Deep expertise in machine learning techniques (supervised and unsupervised) Statistics Mathematics Operations Research Computer Science
• Strong experience in specialized analytics tools and technologies such as Python, SQL, R & Power BI/other visualization experience
• Strong experience in other areas of Marketing Analytics domain would be essential -Customer Marketing any of: Channel Attribution Studies, Multi-touch attribution, Pricing analytics, cross-sell up-sell, Campaign design and effectiveness testing, Geo-lift incrementality testing, Customer segmentation, Customer lifetime value, profitability analysis, Customer experience (incl. voice of customer), KPI frameworks for measuring campaigns, digital analytics (or similar use cases)
• Industry Experience in Oil & Gas, Downstream business, Mobility, Retail, CPG or FMCG business would be desirable.