- Design, develop, and deploy predictive models, with a strong emphasis on dynamic pricing and price optimization.
- Build/use off the shelf robust forecasting models, leveraging past experience on successful forecasting projects (demand, revenue, cost, or pricing-related).
- Work in a Google Cloud Platform (GCP) environment to use or develop, deploy, and maintain data and AI solutions.
- Collaborate with cross-functional teams (Business, Finance, Operations, IT) across the Group to implement AI-driven solutions.
- Translate complex analytical outputs into clear, actionable business insights, with a strong focus on business logic and operational understanding.
- Contribute in a part-time, shared, or on-demand model, potentially working with other companies in parallel.
- Proven experience as a Data Scientist with hands-on expertise in price prediction, dynamic pricing, or pricing optimization models.
- Demonstrated successful experience on at least one forecasting project, from design to delivery and business adoption.
- Strong background in forecasting, predictive modeling, and advanced statistical methods.
- Experience working in a Google Cloud Platform (GCP) environment (BigQuery, Vertex AI, or equivalent).
- Proficiency in Python (mandatory), with good command of SQL; experience with R is a plus.
- Ability to work with large, complex, and multi-source datasets.
- Strong business orientation, with the ability to understand business logic and translate business needs into data-driven solutions.
- Understanding of transportation
- Understanding of offer/demand economics
- Solid understanding of how data models impact pricing, revenue, costs, and operational performance.
- Previous experience in the transport, logistics, supply chain, or mobility sector is strongly preferred.
- Excellent communication skills in English (working language of the Group).
- Comfortable working in a consulting-style, autonomous, and multi-client environment.
- High adaptability and ability to deliver value in a part-time / shared engagement.
- Type: Part-time / shared role with other companies / remote
- Availability: On-demand, depending on project phases
- Duration: Several months, extendable based on project progress and business needs
- Location: Flexible / remote (international profiles welcome)
- Recognition: Project certificate from Redspher Group
- Day rate: €400 – €800, adjustable based on experience, expertise in dynamic pricing, location, and level of commitment.
- Suitable for: part-time or shared engagements.
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Data Scientist - European Union - Redspher

1 hari yang lalu
Deskripsi
About Us : Redspher is a dynamic international Group operating in the transportation and logistics industry.
We are committed to leveraging technology, data, and innovation to drive operational efficiency, optimize pricing strategies, and support sustainable growth across the Group.
Main Objective
We are looking to have a board of AI experts, people who can "on-request" help us, kickstart our projects, bootstrap them, follow up our advancement and be our coach and expert in the long run for a few hours per month per project.
Support the Group's strategic initiatives by initiating and delivering forecasting, predictive analytics, and dynamic pricing models, with a strong focus on price prediction and revenue optimization.
Identify trends, patterns, and actionable insights from complex datasets to influence strategic and operational decision-making, particularly in a transport and logistics environment.
Key Responsibilities
Required Skills & Experience
Must-have (Priority):
Additional requirements:
Engagement Model
Compensation
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