Data Scientist – Fuel Pricing

🕒 May 22

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Kalibrate

WebsiteLinkedInAll Job Openings

201 - 500 employees

🛒 Retail

💸 Finance

☁️ SaaS

Retail • Finance • SaaS

Kalibrate is a company that provides advanced location intelligence and fuel pricing solutions to help businesses make data-driven decisions. Their platform, Kalibrate Location Intelligence 2. 0, offers insights into market strategies, site selection, and customer behavior, enabling organizations to optimize their location strategies across various industries such as retail, fuel, and convenience. Kalibrate also offers consulting services to enhance customer acquisition, maximize profits through fuel pricing optimization, and conduct market insights analyses. They are trusted by leading global brands to facilitate strategic growth and operations through robust data and AI-driven methodologies.

📋 Description

• Apply statistical and econometric modeling, time series analysis, optimization methods, and generative AI to develop improved approaches to demand modeling, elasticity estimation, price recommendation, competition analytics, and related challenges. • Develop reusable tools, frameworks, and components to support and accelerate delivery of value from data science. • Deploy scalable and maintainable solutions to cloud environments, leveraging version control practices and robust code quality and documentation standards. • Work independently and as part of the Data Science Research team, contributing to research prioritisation and technical direction in collaboration with the Director and Product leadership. • Demonstrate technical excellence by delivering high-quality, innovative solutions and championing best practices to ensure research outputs are reproducible, scalable, and maintainable. • Contribute to evaluation and adoption of appropriate tools, programming languages, and technologies. • Mentor junior team members, sharing knowledge and supporting their professional development. • Identify and contribute to patent opportunities and the company's intellectual property portfolio. • Collaborate across Development, Product, Analytics, and Commercial teams to ensure solutions address business challenges and stakeholder objectives. • Partner with operational teams to ensure data pipelines and infrastructure are robust, secure, and optimized for research and production workloads. • Communicate technical concepts and outcomes effectively to both technical and non-technical audiences. • Stay current with developments in data science, machine learning, and AI, applying state-of-the-art techniques to project work. • Develop comprehensive knowledge of the retail fuel industry to understand domain challenges and help guide product innovation. • Share knowledge and promote best practices across the team and company.

🎯 Requirements

• Ph.D. or master's degree in a quantitative discipline. • Demonstrated track record of designing, developing, and deploying data science and machine learning solutions in commercial environments. • Expertise in statistical or econometric modeling and optimization techniques. • Proven ability to independently manage complex projects under tight deadlines while maintaining high standards of quality and reliability. • Strong written and verbal communication skills for both technical and non-technical audiences. • Cross-functional team collaboration experience with product, engineering, and business stakeholders. • Experience in pricing data science is desirable, particularly within the fuel or retail sectors.

🏖️ Benefits

• Flexible working hours • Professional development opportunities