Position Details

Type Not Specified

Experience mid

Exp. Years Not specified

Education Not specified

Category Data & Analytics

About this role

This role involves leading the design and deployment of advanced analytics and AI/ML solutions for commercial operations, including pricing, marketing, and supply chain management.

Key Responsibilities

Lead AI/ML solution development
Optimize commercial analytics
Collaborate with stakeholders
Deploy scalable models
Enhance decision-making processes

Technical Overview

The technical scope includes AI/ML model development, deployment in cloud environments, and integrating analytics into business workflows, with tools like Python, Databricks, and Spark.

Ideal Candidate

The ideal candidate is a data scientist with experience in commercial analytics, pricing, marketing, and supply chain management, with proficiency in Python and AI/ML frameworks. They should have a strong understanding of end-to-end model development and deployment.

Must-Have Skills

AI/ML solutionsData ScienceAnalyticsPythonModel deploymentEnd-to-End solutions

Nice-to-Have Skills

GenAIKnowledge graphsSemantic technologiesHybrid searchRAGTime seriesOptimization libraries

Tools & Platforms

PythonML frameworksDatabricksSparkGenAI frameworks

Required Skills

AI/MLData ScienceAnalyticsPythonPricingMarketingSupply ChainTradingModel DevelopmentEnd-to-End Solutions

Hard Skills

AI/MLData ScienceAnalyticsPricingMarketingSupply ChainTradingModel DevelopmentEnd-to-End SolutionsPythonStatisticsProbabilityOptimization

Soft Skills

leadershipcollaborationcommunicationproblem-solvingstakeholder management

Industry & Role

Industry Energy, Oil & Gas, Data Science, Analytics

Job Function Data science and analytics for commercial and operational insights

Keywords for Your Resume

AI/MLData ScienceAnalyticsPricingMarketingSupply ChainTradingModel DevelopmentPythonStatisticsProbabilityOptimizationEnd-to-End SolutionsGenAIKnowledge graphsSemantic technologiesHybrid searchRAGModel deploymentEnd-to-End solutions

Deal Breakers

Lack of experience in commercial analytics or trading, No proficiency in Python or AI/ML frameworks, Insufficient experience with end-to-end model deployment

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Data Scientist, Commercial Analytics

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